{"id":17645,"date":"2025-10-21T05:45:15","date_gmt":"2025-10-21T12:45:15","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=17645"},"modified":"2025-10-21T12:59:54","modified_gmt":"2025-10-21T19:59:54","slug":"couchbase-8-hyperscale-ai","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/ko\/couchbase-8-hyperscale-ai\/","title":{"rendered":"Couchbase 8.0: \ud558\uc774\ud37c\uc2a4\ucf00\uc77c AI \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uc704\ud55c \ud1b5\ud569 \ub370\uc774\ud130 \ud50c\ub7ab\ud3fc"},"content":{"rendered":"<p>AI\ub294 \ucd5c\uc2e0 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uad6c\ucd95\ud558\uace0 \uc2e4\ud589\ud558\ub294 \ubc29\uc2dd\uc744 \uc7ac\ud3b8\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc2e4\uc2dc\uac04 \ucd94\ucc9c\ubd80\ud130 \uc0c1\ub2f4\uc6d0 \uc9c0\uc6d0\uae4c\uc9c0, \ud300\uc5d0\ub294 \uc0c8\ub85c\uc6b4 \uc131\ub2a5 \ubc0f \uc720\uc5f0\uc131 \uc694\uad6c \uc0ac\ud56d\uc744 \ucda9\uc871\ud560 \uc218 \uc788\ub294 \ub370\uc774\ud130 \ud50c\ub7ab\ud3fc\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \ubc14\ub85c <b>Couchbase 8.0<\/b> \ub294 \uc6b4\uc601, \ubd84\uc11d \ubc0f \ubca1\ud130 \uae30\ubc18 \uc6cc\ud06c\ub85c\ub4dc\ub97c \ud558\ub098\ub85c \ud1b5\ud569\ud558\ub294 \ud1b5\ud569 \ud50c\ub7ab\ud3fc\uc73c\ub85c, \uac1c\ubc1c\uc790\uac00 \ub354 \ube60\ub974\uace0 \uc2a4\ub9c8\ud2b8\ud558\uba70 \ube44\uc6a9 \ud6a8\uc728\uc801\uc778 AI \uae30\ubc18 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\ub3c4\ub85d \uc124\uacc4\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<h2 style=\"font-weight: 400;\">\uce74\uc6b0\uce58\ubca0\uc774\uc2a4 \uc11c\ubc84 8.0\uc758 \uc815\uc2dd \ucd9c\uc2dc<\/h2>\n<p>\uc624\ub298\uc740 \uc790\uccb4 \uad00\ub9ac\ud615 \ubc0f \uc644\uc804 \uad00\ub9ac\ud615 Capella \ubc30\ud3ec\ub97c \uc704\ud55c \ucd5c\uc2e0 \ub9b4\ub9ac\uc988\uc778 Couchbase Server 8.0\uc744 \uc18c\uac1c\ud569\ub2c8\ub2e4. 400\uac1c\uac00 \ub118\ub294 \uae30\ub2a5\uacfc \ubcc0\uacbd \uc0ac\ud56d\uc774 \ud3ec\ud568\ub41c Couchbase 8.0\uc740 \ubca1\ud130 \uc778\ub371\uc2f1, \ubca1\ud130 \uac80\uc0c9 \uc0ac\uc6a9 \ubc0f \uc131\ub2a5, \ud074\ub7ec\uc2a4\ud130 \ubcf4\uc548, \ud655\uc7a5\uc131 \ubc0f \uc548\uc815\uc131\uc5d0\uc11c \ud68d\uae30\uc801\uc778 \ud601\uc2e0\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc0c8\ub85c\uc6b4 \uae30\ub2a5\uc740 Couchbase\ub97c \ucc28\uc138\ub300 AI \uae30\ubc18 \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \ubc0f \uc5d0\uc774\uc804\ud2b8 \uc2dc\uc2a4\ud15c\uc5d0 \ud544\uc694\ud55c AI \ub370\uc774\ud130 \ubc31\ubcf8\uc73c\ub85c \uc804\ud658\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/p>\n<h3 style=\"font-weight: 400;\">\uc5d0\uc774\uc804\ud2b8 \uc2dc\uc2a4\ud15c\uc740 \uc6b4\uc601 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc785\ub2c8\ub2e4.<\/h3>\n<p>\uc800\ud76c\ub294 \uc624\ub7ab\ub3d9\uc548 \uc5d0\uc774\uc804\ud2b8 \uc2dc\uc2a4\ud15c\uc744 \uc6b4\uc601 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc73c\ub85c \ubcf4\ub294 \uac83\uc774 \uac00\uc7a5 \uc88b\ub2e4\uace0 \uc8fc\uc7a5\ud574 \uc654\uc2b5\ub2c8\ub2e4. \uc5d0\uc774\uc804\ud2b8 \uc2dc\uc2a4\ud15c\uc5d0\ub294 Couchbase \ubc0f Capella\uc640 \uac19\uc740 \ud50c\ub7ab\ud3fc\uc758 \uc751\ub2f5\uc131, \uac00\uc6a9\uc131, \ubd84\uc0b0\ub41c \uaddc\ubaa8 \ubc0f \uc131\ub2a5\uc774 \ud544\uc694\ud558\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4. \ub610\ud55c \ud2b9\uc218 \ubaa9\uc801\uc758 \ub370\uc774\ud130\ubca0\uc774\uc2a4 \ubaa8\uc74c\uc73c\ub85c \uad6c\ub3d9\ub418\ub294 \uc6b4\uc601 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uc870\ub9bd\ud558\ub294 \uac83\uc740 \uc88b\uc9c0 \uc54a\uc740 \uc0dd\uac01\uc774\ub77c\uace0 \uc8fc\uc7a5\ud574 \uc654\uc2b5\ub2c8\ub2e4.  AI\ub85c \uadf8\ub807\uac8c \ud558\ub294 \uac83\uc740 \uc7ac\uc559\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3 style=\"font-weight: 400;\">\ucd5c\uace0\uc758 \ub2e4\ubaa9\uc801 \ubca1\ud130 \ub370\uc774\ud130\ubca0\uc774\uc2a4\ub97c \ud655\uc778\ud558\uc138\uc694.<\/h3>\n<p>\uc624\ub298, \uc800\ud76c\ub294 \ub2e4\ubaa9\uc801 \ud50c\ub7ab\ud3fc\uc5d0 \ub0b4\uc7a5\ub418\uc5b4\uc57c \ud558\ub294 \ub370\uc774\ud130\ubca0\uc774\uc2a4 \uae30\ub2a5\uc758 \ub610 \ub2e4\ub978 \ubc94\uc8fc\ub97c \ucd94\uac00\ud569\ub2c8\ub2e4. Couchbase 8.0\uc740 \ucd5c\uace0\uc758 \ub2e4\ubaa9\uc801 \ubca1\ud130 \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc778 \ub3d9\uc2dc\uc5d0 \ud658\uc0c1\uc801\uc778 JSON, KV \uce90\uc2f1, \uac80\uc0c9, \uc774\ubca4\ud2b8, \ubaa8\ubc14\uc77c \ubc0f \ubd84\uc11d \ub2e4\ubaa9\uc801 \ub370\uc774\ud130\ubca0\uc774\uc2a4 \ud50c\ub7ab\ud3fc\uc774 \ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<hr \/>\n<h2 style=\"font-weight: 400;\">10\uc5b5 \uac1c, \uadf8 \uc774\uc0c1\uc73c\ub85c \ud655\uc7a5\ub418\ub294 \ubca1\ud130 \uac80\uc0c9<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-17649 alignright\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image2-2.png\" alt=\"\" width=\"441\" height=\"264\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image2-2.png 711w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image2-2-300x180.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image2-2-18x12.png 18w\" sizes=\"auto, (max-width: 441px) 100vw, 441px\" \/><br \/>\nAI \uae30\ubc18 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc740 \uc62c\ubc14\ub978 \ucee8\ud14d\uc2a4\ud2b8\ub97c \uc989\uc2dc \ucc3e\ub294 \ub370 \ub2ec\ub824 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ub300\uaddc\ubaa8\ub85c \ube60\ub974\uace0 \uc815\ud655\ud55c \ubca1\ud130 \uac80\uc0c9\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \uc0c8\ub85c\uc6b4 <b>\ud558\uc774\ud37c\uc2a4\ucf00\uc77c \ubca1\ud130 \uc778\ub371\uc2a4(HVI)<\/b> \uc774\uc81c \uc18d\ub3c4, \uc815\ud655\uc131, \ube44\uc6a9 \uc0ac\uc774\uc5d0\uc11c \ud0c0\ud611\ud558\uc9c0 \uc54a\uace0\ub3c4 Couchbase 8.0\uc5d0\uc11c \uc774\ub7ec\ud55c \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc218\uc2ed\uc5b5 \uaddc\ubaa8\uc758 \ub3c5\ub9bd\uc801\uc778 \ud14c\uc2a4\ud2b8\uc5d0\uc11c HVI\ub294 \ucd5c\ub300 \ub2e4\uc74c\uacfc \uac19\uc740 \uc131\ub2a5\uc744 \uc81c\uacf5\ud588\uc2b5\ub2c8\ub2e4. <b>\ucd08\ub2f9 19,000\uac74\uc758 \ucffc\ub9ac \ucc98\ub9ac<\/b> \uc640 \ud568\uaed8 <b>28\ubc00\ub9ac\ucd08 \uc9c0\uc5f0 \uc2dc\uac04<\/b> \uc758 \ud569\ub9ac\uc801\uc778 \ub9ac\ucf5c \uc815\ud655\ub3c4\ub85c \uc870\uc815\ud588\uc744 \ub54c 66%\uc785\ub2c8\ub2e4. \uc8fc\uc694 \ud074\ub77c\uc6b0\ub4dc \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc640 \ube44\uad50\ud588\uc744 \ub54c, Couchbase\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uc2e4\ud589\ub418\uc5c8\uc2b5\ub2c8\ub2e4. <b>3,000\ubc30 \ub354 \ube60\ub985\ub2c8\ub2e4.\u00a0<\/b> \uadf8\ub9ac\uace0 \ub192\uc740 \ub9ac\ucf5c \uc815\ud655\ub3c4(\uc801\ub2f9\ud55c \ud558\ub4dc\uc6e8\uc5b4\uc5d0\uc11c 93%)\ub97c \uc704\ud574 \uc870\uc815\uac12\uc744 \ub192\uc600\uc744 \ub54c, Couchbase\ub294 <b>350\ud68c <\/b>\ucd08\ub2f9 \ub354 \ub9ce\uc740 \ucffc\ub9ac\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc0c8\ub85c\uc6b4 \ud558\uc774\ud37c\uc2a4\ucf00\uc77c \ubca1\ud130 \uc778\ub371\uc2a4\ub294 \uc774\ubbf8 \ub6f0\uc5b4\ub09c \ucffc\ub9ac \ucc98\ub9ac\ub7c9, \ub9ac\ucf5c \uc815\ud655\ub3c4, \ubc00\ub9ac\ucd08 \uc9c0\uc5f0 \uc2dc\uac04\uc73c\ub85c 10\uc5b5 \uac1c \uc774\uc0c1\uc758 \ubca1\ud130\ub97c \uc27d\uac8c \ud655\uc7a5\ud560 \uc218 \uc788\ub294 \uac83\uc73c\ub85c \ud14c\uc2a4\ud2b8\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uace0\uac1d\uc774 AI \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \ub0b4\uc5d0\uc11c \uc815\ud655\ub3c4\uc640 \uc2e0\ub8b0\ub3c4\ub97c \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub420 \ubfd0\ub9cc \uc544\ub2c8\ub77c GenAI\ub97c \ub354 \uc800\ub834\ud558\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \uc9c0\uc6d0\ud569\ub2c8\ub2e4. \ud2b9\ud788 \uc0ac\uc6a9\uc790\uac00 LLM(\ub300\uaddc\ubaa8 \uc5b8\uc5b4 \ubaa8\ub378)\uc5d0 \ubb34\uc5c7\uc744 \uc694\uccad\ud560\uc9c0 \uc608\uce21\ud558\uae30 \uc5b4\ub824\uc6b4 \uacbd\uc6b0, RAG \ubc0f \uc5d0\uc774\uc804\ud2b8 \uc0ac\uc6a9 \uc0ac\ub840\uc758 \ucd1d \uc18c\uc720 \ube44\uc6a9\uc744 \uc808\uac10\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignright size-full wp-image-17650\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image1-2.png\" alt=\"\" width=\"440\" height=\"370\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image1-2.png 440w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image1-2-300x252.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image1-2-14x12.png 14w\" sizes=\"auto, (max-width: 440px) 100vw, 440px\" \/>\ud558\uc774\ud37c\uc2a4\ucf00\uc77c \ubca1\ud130 \uc778\ub371\uc2a4\ub294 HNSW, IVF \ub610\ub294 DiskANN\uc744 \uc0ac\uc6a9\ud558\ub294 \ub300\uc2e0 \uadf8\ub798\ud504\uc640 \ud074\ub7ec\uc2a4\ud130 \uae30\ubc18 \uc54c\uace0\ub9ac\uc998\uc758 \uc7a5\uc810\uc744 \uacb0\ud569\ud55c \uc0c8\ub85c\uc6b4 \ud558\uc774\ube0c\ub9ac\ub4dc \uc54c\uace0\ub9ac\uc998\uc73c\ub85c \uad6c\ub3d9\ub418\uba70, Microsoft\uc758 Vamana \ub17c\ubb38\uacfc IVF\ub97c \uacb0\ud569\ud55c \uc0c8\ub85c\uc6b4 \uc54c\uace0\ub9ac\uc998\uc744 \uae30\ubc18\uc73c\ub85c \ud569\ub2c8\ub2e4. \uc774 \uc124\uacc4\uc758 \uc7a5\uc810\uc740 \ubd84\uc0b0\ud615 \uc778\uba54\ubaa8\ub9ac \ucc98\ub9ac\uc640 \ud30c\ud2f0\uc154\ub2dd\ub41c \ub514\uc2a4\ud06c \ucc98\ub9ac\ub97c \ubaa8\ub450 \ud65c\uc6a9\ud558\uc5ec \uc6a9\ub7c9, \ucc98\ub9ac\ub7c9, \uc9c0\uc5f0 \uc2dc\uac04 \ubc0f \ub9ac\ucf5c \uce21\uba74\uc5d0\uc11c \ub3d9\uae09 \ucd5c\uace0\uc758 \uc131\ub2a5\uc744 \uc81c\uacf5\ud55c\ub2e4\ub294 \uac83\uc785\ub2c8\ub2e4. \ucc57\ubd07\uacfc \uac19\uc774 \uac1c\ubc1c\uc790\uac00 \ud504\ub86c\ud504\ud2b8\uc5d0 \uc81c\uacf5\ub418\ub294 \ucf58\ud150\uce20\ub97c \uc644\uc804\ud788 \uc81c\uc5b4\ud560 \uc218 \uc5c6\ub294 \uc0c1\ud0dc\uc5d0\uc11c \ub300\uaddc\ubaa8 \ub370\uc774\ud130 \ucf54\ud37c\uc2a4\ub97c \ubca1\ud130\ud654\ud574\uc57c \ud558\ub294 \uacbd\uc6b0\uc5d0 \uc120\ud638\ub418\ub294 \uc778\ub371\uc2a4\uc785\ub2c8\ub2e4. \uc774 \uad6c\ud604\uc5d0\ub294 \ub9ce\uc740 \uc7a5\uc810\uc774 \uc788\uc73c\uba70, \uc55e\uc73c\ub85c \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc624\ub298\uc740 \uadf8\ub0e5 \ubcf4\uc5ec\ub4dc\ub9ac\uace0\uc790 \ud569\ub2c8\ub2e4.<\/p>\n<p>&nbsp;<\/p>\n<h3 style=\"font-weight: 400;\">\ud558\uc774\ud37c\uc2a4\ucf00\uc77c \ubca1\ud130 \uc778\ub371\uc2a4 \ubca4\uce58\ub9c8\ud06c \uacbd\uc7c1<\/h3>\n<p>\uc2e0\uc120\ud55c \uc815\uba74 \ub300\uacb0\uc5d0\uc11c <a href=\"https:\/\/info.couchbase.com\/rs\/302-GJY-034\/images\/COU_1372%20-%208.0%20Benchmarks%20for%20Hyperscale%20Vector%20Search%20-%20WP.pdf\" target=\"_blank\" rel=\"noopener\">\ubca1\ud130 \uc131\ub2a5 \ubca4\uce58\ub9c8\ud06c<\/a> CouchBase\uc640 MongoDB Atlas \uc0ac\uc774\uc758 \uc0c8\ub85c\uc6b4 \ud558\uc774\ud37c\uc2a4\ucf00\uc77c \ubca1\ud130 \uc778\ub371\uc2a4\ub294 \uc77c\ubc18\uc801\uc778 \uc911\uac04 \ud06c\uae30\uc758 \ubca1\ud130 \uc138\ud2b8\uc640 128\ucc28\uc6d0\uc758 10\uc5b5 \uac1c\uc758 \ubca1\ud130 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud574 \ucd08\ub2f9 \ucffc\ub9ac \uc218(QpS)\ub85c \uce21\uc815\ub41c \ud0c1\uc6d4\ud55c \ubca1\ud130 \uac80\uc0c9 \uc131\ub2a5\uc744 \ub2ec\uc131\ud588\uc2b5\ub2c8\ub2e4. \ud14c\uc2a4\ud2b8\uc5d0\ub294 <a href=\"https:\/\/zilliz.com\/vdbbench-leaderboard?dataset=vectorSearch\" target=\"_blank\" rel=\"noopener\">VDBBench \ubc29\ubc95\ub860<\/a> \ubc0f \ud234\ud0b7\uc744 \uc0ac\uc6a9\ud558\uc5ec \ucd08\ub2f9 \ucffc\ub9ac \uc218(QpS), \uc751\ub2f5 \ub300\uae30 \uc2dc\uac04(\ubc00\ub9ac\ucd08), \ub9ac\ucf5c \uc815\ud655\ub3c4 \ube44\uc728\uc744 \uce21\uc815\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc774 \ud14c\uc2a4\ud2b8\ub294 \uc2a4\uce94\ud558\ub294 \uc911\uc2ec \ud074\ub7ec\uc2a4\ud130\uc758 \ud3ed(10\uac1c\uc5d0\uc11c 100\uac1c\uae4c\uc9c0)\uc744 \ub2e4\uc591\ud654\ud568\uc73c\ub85c\uc368 \ubca1\ud130 \ub9ac\ucf5c \uc815\ud655\ub3c4\uc5d0 \ub300\ud55c \uac80\uc0c9 \uc131\ub2a5\uacfc \uc9c0\uc5f0 \uc2dc\uac04\uc744 \uc870\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc13c\ud2b8\ub85c\uc774\ub4dc\ub294 \uc720\uc0ac\ud55c \ubca1\ud130\uc758 \ud074\ub7ec\uc2a4\ud130\uc785\ub2c8\ub2e4. \uc13c\ud2b8\ub85c\uc774\ub4dc\ub97c \ub354 \uc801\uac8c \uc2a4\uce94\ud558\uba74 \ucd08\ub2f9 \ucffc\ub9ac \uc218(QpS)\ub294 \uc99d\uac00\ud558\uc9c0\ub9cc \ubca1\ud130 \uc815\ud655\ub3c4\ub294 \ub0ae\uc544\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub354 \ub9ce\uc740 \uc13c\ud2b8\ub85c\uc774\ub4dc\ub97c \uc2a4\uce94\ud558\uba74 \uc815\ud655\ub3c4\uac00 \ud5a5\uc0c1\ub418\uc9c0\ub9cc \uc9c0\uc5f0 \uc2dc\uac04\ub3c4 \uc99d\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-17651\" style=\"border: 1px solid Gainsboro;\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image4-1024x517.png\" alt=\"\" width=\"900\" height=\"454\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image4-1024x517.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image4-300x152.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image4-768x388.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image4-18x9.png 18w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image4-1320x667.png 1320w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image4.png 1447w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/p>\n<p>\ubca4\uce58\ub9c8\ud06c \uacb0\uacfc\uc5d0 \ub530\ub974\uba74 Couchbase\uc758 \ud558\uc774\ud37c\uc2a4\ucf00\uc77c \ubca1\ud130 \uc778\ub371\uc2a4\ub294 \ub0ae\uc740 \uc815\ud655\ub3c4(66%)\ub85c \uc870\uc815\ud588\uc744 \ub54c \ucd08\ub2f9 19,000\uac1c\uac00 \uc870\uae08 \ub118\ub294 \ucffc\ub9ac\ub97c 28\ubc00\ub9ac\ucd08\uc758 \uc9c0\uc5f0 \uc2dc\uac04\uc73c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\ub294 \uac83\uc73c\ub85c \ub098\ud0c0\ub0ac\uc2b5\ub2c8\ub2e4. \uc774\ub294 <b>3,100\ubc30 \ube60\ub978 \uc18d\ub3c4<\/b> \ub294 \ub3d9\uc77c\ud55c \ud14c\uc2a4\ud2b8\uc640 \uc124\uc815\uc73c\ub85c 57%\uc758 \ub9ac\ucf5c \uc815\ud655\ub3c4\ub85c \ucd08\ub2f9 6\uac1c\uc758 \ucffc\ub9ac\ub9cc \uc2e4\ud589\ud560 \uc218 \uc788\uc5c8\ub358 MongoDB Atlas\ubcf4\ub2e4 \ub354 \ub192\uc740 \uc131\ub2a5\uc744 \ubcf4\uc600\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\ub9ac\ucf5c \uc815\ud655\ub3c4\ub97c \ub192\uc774\ub3c4\ub85d \uad6c\uc131\ud588\uc744 \ub54c, MongoDB\uc758 \uc131\ub2a5\uc740 \ucd08\ub2f9 \ucffc\ub9ac \uc218 2\uac74\uc73c\ub85c \ub5a8\uc5b4\uc84c\uace0 \uc9c0\uc5f0 \uc751\ub2f5 \uc2dc\uac04\uc740 40\ucd08 \uc774\uc0c1\uc73c\ub85c \uae09\uc99d\ud588\uc2b5\ub2c8\ub2e4. Couchbase\ub294 700 QpS \uc774\uc0c1\uc758 \uc131\ub2a5\uacfc 369\ubc00\ub9ac\ucd08 \ubbf8\ub9cc\uc758 \uc9c0\uc5f0 \uc2dc\uac04\uc744 \uae30\ub85d\ud588\uc2b5\ub2c8\ub2e4. \ub9ac\ucf5c \uc815\ud655\ub3c4\ub294 Atlas\uac00 89%\ub85c Couchbase\uc758 93%\ubcf4\ub2e4 \ub192\uc558\uc2b5\ub2c8\ub2e4. \uc218\uc2ed\uc5b5 \uac1c\uc758 \ubca1\ud130 \uaddc\ubaa8\ub85c \uc6b4\uc601\ud560 \uacbd\uc6b0, Couchbase\uc758 \ud558\uc774\ud37c\uc2a4\ucf00\uc77c \ubca1\ud130 \uc778\ub371\uc2a4\ub294 \ub354 \uc5f4\uc2ec\ud788, \ub354 \ube60\ub974\uac8c, \ub354 \uc2a4\ub9c8\ud2b8\ud558\uac8c \uc791\ub3d9\ud558\uba70 \ube44\uc6a9\uc740 \ub354 \uc801\uac8c \ub4ed\ub2c8\ub2e4.<\/p>\n<p>\ud558\uc774\ud37c\uc2a4\ucf00\uc77c \ubca1\ud130 \uc778\ub371\uc2a4\ub294 \uce74\uc6b0\uce58\ubca0\uc774\uc2a4\uc758 \uae30\uc874 \uc778\ub371\uc2a4 \uc11c\ube44\uc2a4\ub97c \ud655\uc7a5\ud55c \uac83\uc73c\ub85c, \uae30\uc874 \ubc30\ud3ec \uc635\uc158, \uaddc\ubaa8, \ubd84\uc0b0 \ud30c\ud2f0\uc154\ub2dd, \uc131\ub2a5 \ud2b9\uc131\uc744 \uadf8\ub300\ub85c \uacc4\uc2b9\ud569\ub2c8\ub2e4.<\/p>\n<h3 style=\"font-weight: 400;\">\ubcf5\ud569 \ubca1\ud130 \uc778\ub371\uc2a4(CVI)<\/h3>\n<p>\uac1c\ubc1c\uc790\uac00 \ubbf8\ub9ac \ud544\ud130\ub9c1\ub418\uace0 \uc881\ud600\uc9c4 \ubca1\ud130 \uacb0\uacfc \uc9d1\ud569\uc744 \ubc00\ub9ac\ucd08 \uc18d\ub3c4\ub85c \uc815\uc758\ud558\ub824\ub294 \uc0c1\ud669\uc744 \uc704\ud574 \ubcf5\ud569 \ubca1\ud130 \uc778\ub371\uc2a4\ub3c4 \ucd94\uac00\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\ubcf5\ud569 \ubca1\ud130 \uc778\ub371\uc2a4\ub294 \uae30\uc874 \ubcf4\uc870 \uc778\ub371\uc2a4 \ud568\uc218(GSI)\uc758 \uc77c\ubd80\ub85c, \ubca1\ud130\uc640 \ubb38\uc790\uc5f4, \uc22b\uc790, \ubd80\uc6b8 \ub4f1 \uae30\ud0c0 \uc9c0\uc6d0\ub418\ub294 \ub370\uc774\ud130 \uc720\ud615\uc744 \uacb0\ud569\ud55c \uc778\ub371\uc2a4\ub97c \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ubca1\ud130 \uc694\uccad\uc758 \ucd08\uc810\uc744 \uc881\ud788\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\uba70 \uac1c\ubc1c\uc790\uac00 LLM \uacc4\uc57d \ub0b4\uc5d0\uc11c \ud504\ub86c\ud504\ud2b8\uc758 \ub0b4\uc6a9\uc744 \uc81c\uc5b4\ud560 \ub54c \uc720\uc6a9\ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c \uce74\uc6b0\uce58\ubca0\uc774\uc2a4\uc5d0\uc11c \ud2b9\uc815 \ubca1\ud130\ub97c \uc694\uccad\ud558\uae30 \uc804\uc5d0 \ud544\ud130\ub9c1 \uae30\uc900\uc744 \uc801\uc6a9\ud558\uace0 \uc815\ud655\ub3c4\ub97c \uc800\ud558\uc2dc\ud0a4\uc9c0 \uc54a\uc73c\uba74\uc11c LLM \ud1a0\ud070 \uc18c\ube44\ub97c \ucd5c\uc18c\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3 style=\"font-weight: 400;\">\uce74\uc6b0\uce58\ubca0\uc774\uc2a4\ub294 \uc628\ud504\ub808\ubbf8\uc2a4, \uc544\uce74\ud3a0\ub77c, \ubaa8\ubc14\uc77c\uc5d0\uc11c \ubca1\ud130 \uac80\uc0c9\uc744 \ubc30\ud3ec\ud569\ub2c8\ub2e4. \ub610 \ub204\uac00 \uadf8\ub807\uac8c \ud558\ub098\uc694?<\/h3>\n<p>\uc774 \uc0c8\ub86d\uace0 \ud655\uc7a5\uc131\uc774 \ub6f0\uc5b4\ub09c \ubca1\ud130 \uc778\ub371\uc2f1 \uc635\uc158\uc740 \uae30\uc874\uc758 \uac80\uc0c9 \uc11c\ube44\uc2a4\uc5d0\uc11c \uc81c\uacf5\ud558\ub294 \ud558\uc774\ube0c\ub9ac\ub4dc \ubca1\ud130 \uac80\uc0c9 \uae30\ub2a5\uc5d0 \ucd94\uac00\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774\uc81c Couchbase\ub294 \ub2e4\uc74c\uc744 \uc81c\uacf5\ud558\ub294 \uc720\uc77c\ud55c \ub370\uc774\ud130\ubca0\uc774\uc2a4 \ud50c\ub7ab\ud3fc\uc785\ub2c8\ub2e4. <b>\uc138<\/b> \uc720\uc5f0\ud558\uace0 \ud655\uc7a5\uc131\uc774 \ub6f0\uc5b4\ub09c \ubca1\ud130 \uac80\uc0c9 \uc635\uc158\uc740 \uc628\ud504\ub808\ubbf8\uc2a4, Kubernetes\uc758 \uc790\uccb4 \uad00\ub9ac \uc2dc\uc2a4\ud15c \ubc0f \uc644\uc804 \uad00\ub9ac\ud615 Capella \ubc30\ud3ec\ub97c \uc704\ud55c \uac83\uc785\ub2c8\ub2e4. \uc5ec\uae30\uc5d0 \ubaa8\ubc14\uc77c \ubca1\ud130 \uac80\uc0c9\uc744 \ucd94\uac00\ud558\uba74 \ucd5c\uc885 \uc0ac\uc6a9\uc790\uac00 \uc5b4\ub514\uc5d0 \uc788\ub4e0 AI \uc138\uacc4\uc758 \uc5b4\ub514\uc5d0 \uc788\ub4e0 \uc11c\ube44\uc2a4\ub97c \uc81c\uacf5\ud558\ub294 AI \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc758 \uc911\ucd94\uac00 \ub418\ub294 \ubc29\ubc95\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<hr \/>\n<h2 style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-17652\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image3-1.png\" alt=\"\" width=\"300\" height=\"249\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image3-1.png 442w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image3-1-300x249.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/image3-1-14x12.png 14w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>Couchbase 8.0\uc5d0\ub294 \ub610 \uc5b4\ub5a4 \uae30\ub2a5\uc774 \uc788\ub098\uc694?<\/h2>\n<p>Couchbase\uc758 \ubaa8\ub4e0 \uc11c\ube44\uc2a4\uac00 \ud06c\uac8c \uac1c\uc120\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uac01 Couchbase \uc11c\ube44\uc2a4\uc5d0 \ub300\ud55c \ubcc0\uacbd \uc0ac\ud56d\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4:<\/p>\n<h3 style=\"font-weight: 400;\">\ub370\uc774\ud130 \uc11c\ube44\uc2a4<\/h3>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\">\uace0\uac1d\uc774 \uad00\ub9ac\ud558\ub294 \ud0a4\uc5d0 \ub300\ud55c KMS \ud1b5\ud569\uc744 \ud1b5\ud55c \ubbf8\uc0ac\uc6a9 \uc2dc \uae30\ubcf8 \uc554\ud638\ud654. \ub370\uc774\ud130 \uc11c\ube44\uc2a4\ub294 \uac01 \uce74\uc6b0\uce58\ubca0\uc774\uc2a4 \uc11c\ube44\uc2a4 \uc911 \uac00\uc7a5 \uba3c\uc800 \uc554\ud638\ud654\ub41c \uc11c\ube44\uc2a4\uc785\ub2c8\ub2e4. \ucffc\ub9ac, \uc778\ub371\uc2a4 \ubc0f \uac80\uc0c9\uacfc \uac19\uc740 \ub2e4\ub978 \uc11c\ube44\uc2a4\ub3c4 \ud6c4\uc18d \ub9b4\ub9ac\uc2a4\uc5d0\uc11c \uc554\ud638\ud654\ub420 \uc608\uc815\uc785\ub2c8\ub2e4.<\/li>\n<li style=\"font-weight: 400;\">\ud0a4 \uad00\ub9ac \uc0c1\ud638 \uc6b4\uc6a9\uc131 \ud504\ub85c\ud1a0\ucf5c(KIMP) \uc9c0\uc6d0<\/li>\n<li style=\"font-weight: 400;\">\uc790\ub3d9 \ud0a4 \ub85c\ud14c\uc774\uc158\uc744 \ud1b5\ud55c \uc911\uc559 \uc9d1\uc911\uc2dd \uc815\ucc45 \uc81c\uc5b4 \uae30\ub2a5 \ud3ec\ud568<\/li>\n<li style=\"font-weight: 400;\">90% \ub9c8\uadf8\ub9c8 \uba54\ubaa8\ub9ac \ud560\ub2f9\ub7c9 \uac10\uc18c(100MB)<\/li>\n<li style=\"font-weight: 400;\">1024\uac1c \ub300\uc2e0 128\uac1c v\ubc84\ud0b7\uc758 \ub354 \uc791\uc740 \ud074\ub7ec\uc2a4\ud130 \ub9f5 \uc635\uc158<\/li>\n<li style=\"font-weight: 400;\">\uc0c8\ub85c\uc6b4 \ubc84\ud0b7 \uc6cc\ubc0d\uc5c5 \uc635\uc158(\ubc31\uadf8\ub77c\uc6b4\ub4dc, \ucc28\ub2e8, \uc5c6\uc74c)\uc73c\ub85c \uce90\uc2dc\uac00 \ub530\ub73b\ud574\uc9c0\uba74 \ub178\ub4dc \ud65c\uc131\ud654\uac00 \ube68\ub77c\uc9d1\ub2c8\ub2e4.<\/li>\n<li style=\"font-weight: 400;\">Memcached bucket type is removed, deprecated since version 6.5<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\">\ucffc\ub9ac \uc11c\ube44\uc2a4<\/h3>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\">Natural Language input for queries from Couchbase Server through command line shell, SQL++ and Query Workbench using the Capella iQ access credentials. Ask questions, with &#8220;<i>USING AI<\/i>&#8221; command or REST API commands starting with &#8220;<i>natural_<\/i>&#8220;.<\/li>\n<li style=\"font-weight: 400;\">Query workload repository and reporting maintains snapshots and reports to ease troubleshooting queries. A user-defined collection collects elapsed time, CPU and memory usage, KV fetch, executions and more.<\/li>\n<li style=\"font-weight: 400;\">Auto update optimization statistics for ideal query plan generation as query characteristics evolve<\/li>\n<li style=\"font-weight: 400;\">New SQL++ keywords and clauses for vector index creation including, <i>CREATE VECTOR INDEX<\/i> with optional <i>INCLUDE<\/i>, <i>\ud30c\ud2f0\uc158 \uae30\uc900<\/i>\ubc0f <i>\uc5b4\ub514<\/i> clauses,\u00a0 plus extensions to the <i>WITH<\/i> clause for vector-specific parameters such as, <i>Dimension<\/i>, <i>\uc124\uba85<\/i>, <i>Similarity metric<\/i>, <i>Train_list<\/i>\ubc0f <i>Num_replicas<\/i>.<\/li>\n<li style=\"font-weight: 400;\">New SQL++ functions for vector selection, <i>\uc57d_\ubca1\ud130_\uac70\ub9ac<\/i><\/li>\n<li style=\"font-weight: 400;\">Vector Indexes are available through Query Workbench GUI, Capella UI, REST API to the Query Service, SDKs and via model frameworks like LlamaIndex and LangChain<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\">\uc0c9\uc778 \uc11c\ube44\uc2a4<\/h3>\n<h4 style=\"font-weight: 400;\">New feature settings for vector index creation<\/h4>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\">Algorithms: IVF for GSI Composite, and IVF + Vamana (Hybrid) for hyperscale<\/li>\n<li style=\"font-weight: 400;\">SQL++: <i>CREATE\/ALTER\/DROP INDEX<\/i> through SQL++, REST API, and SDK<\/li>\n<li style=\"font-weight: 400;\">Quantization: Tuning index with choice of PQ, SQ variants for reduced memory usage<\/li>\n<li style=\"font-weight: 400;\">Similarity distance: Cosine, Dot Product, L2 and Euclidean for diverse application needs<\/li>\n<li style=\"font-weight: 400;\">Partitioned indexes: For scalability into multi-billion vectors and granular indexing requirements<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4 style=\"font-weight: 400;\">New feature options for vector search<\/h4>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\">Simple search query: Basic ANN scans with vector fields in <i>\uc8fc\ubb38 \uae30\uc900<\/i><\/li>\n<li style=\"font-weight: 400;\">Pre-filtering in Composite Index and Inline filtering in Hyperscale index with <i>INCLUDE<\/i> columns for reducing search space<\/li>\n<li style=\"font-weight: 400;\">Pushdowns to Indexer: For filtering and limiting documents to improve performances<\/li>\n<li style=\"font-weight: 400;\">Projections: Support for projections like vector distance<\/li>\n<li style=\"font-weight: 400;\">Reranking results: For improving recall with a performance tradeoff<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\">\uac80\uc0c9 \uc11c\ube44\uc2a4<\/h3>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\">User-defined synonyms available to reference in search queries<\/li>\n<li style=\"font-weight: 400;\">Filter which documents to be indexed by search service<\/li>\n<li style=\"font-weight: 400;\">Best match (BM25) scoring for better hybrid search results<\/li>\n<li style=\"font-weight: 400;\">Read-replica partitions added to Search Service for faster query throughput<\/li>\n<li style=\"font-weight: 400;\">Search Vector Index <strong>performance has doubled<\/strong> through better SIMD (Single Instruction, Multiple Data) support using avx2 instruction set<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\">\uc774\ubca4\ud2b8 \uc11c\ube44\uc2a4<\/h3>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\">Eventing Service has been re-architected for scale, speed, and security with dramatic results<\/li>\n<li style=\"font-weight: 400;\">Set eventing options at the scope or bucket level of execution<\/li>\n<li style=\"font-weight: 400;\">Configure eventing service nodes by scope<\/li>\n<li style=\"font-weight: 400;\">TLS node to node encryption for internal communication<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\">\ud074\ub7ec\uc2a4\ud130 \uad00\ub9ac\uc790<\/h3>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\">Auto-failover of ephemeral buckets and non-responsive disks<\/li>\n<li style=\"font-weight: 400;\">Adjust non-KV Multidimensional Scaling (MDS) services without introducing new target nodes<\/li>\n<li style=\"font-weight: 400;\">Aggregate SDK client metrics on cluster for easier monitoring and troubleshooting<\/li>\n<li style=\"font-weight: 400;\">Lock\/unlock user accounts and monitor activity<\/li>\n<li style=\"font-weight: 400;\">Upgrade path requires version 7.2 or higher, earlier versions must upgrade to 7.2.3 first<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\">\ub370\uc774\ud130\uc13c\ud130 \uac04 \ubcf5\uc81c(XDCR)<\/h3>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\">New bucket property, &#8220;<i>EnableCrossClusterVersioning<\/i>&#8221; designed to enable:\n<ul>\n<li style=\"font-weight: 400;\">Bi-directional replication with mobile buckets in Sync Gateway or Capella App Services<\/li>\n<li style=\"font-weight: 400;\">Target cluster awareness of inbound replications for easier management<\/li>\n<li style=\"font-weight: 400;\">Conflict logging for documents modified on both ends during conflict timeframe window<\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\">XDCR Diagnostic Utility to check data consistency between clusters<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\">Backups<\/h3>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\">Point-in-time recovery preview before 8.1 GA\n<ul>\n<li style=\"font-weight: 400;\">Reduce data loss window to user-defined timing from hours, to a few minutes, or even sub-seconds<\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\">Backup Retention Period and expiration settings to set expiration dates for backups<\/li>\n<li style=\"font-weight: 400;\">Auto-resolve naming conflicts with cbbackupmgr<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<h2 style=\"font-weight: 400;\">Built for developers, trusted by enterprises<\/h2>\n<p>Couchbase 8.0 combines speed, scale, and flexibility in a single platform that runs anywhere\u2014on-prem, in Capella DBaaS, or at the edge. It\u2019s designed for the developers shaping tomorrow\u2019s AI-powered experiences and for the enterprises that rely on them to run critical applications.<\/p>\n<p><i>&#8220;Our customers can find relevant content based on meaning and context, not just exact keywords. As a Capella customer, we&#8217;re excited for Couchbase 8.0 and the scalability and TCO benefits that make it the ideal solution for our AI-powered video platform,&#8221; said Ian Merrington, CTO at Seenit.<\/i><\/p>\n<p>Couchbase 8.0 is <b>now generally available<\/b>. <a href=\"https:\/\/docs.couchbase.com\/server\/current\/introduction\/whats-new.html\" target=\"_blank\" rel=\"noopener\">Explore what\u2019s new<\/a> and see how teams are using it to build next-generation AI and agentic systems today.<\/p>\n<p>Check out these related resources:<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\"><a href=\"https:\/\/www.couchbase.com\/blog\/ko\/downloads\/?family=couchbase-server\" target=\"_blank\" rel=\"noopener\">Download 8.0 now<\/a><\/li>\n<li style=\"font-weight: 400;\"><a href=\"https:\/\/info.couchbase.com\/rs\/302-GJY-034\/images\/COU_1372%20-%208.0%20Benchmarks%20for%20Hyperscale%20Vector%20Search%20-%20WP.pdf\" target=\"_blank\" rel=\"noopener\">Vector Benchmark<\/a><\/li>\n<li style=\"font-weight: 400;\"><a href=\"https:\/\/www.couchbase.com\/blog\/ko\/products\/server\/\" target=\"_blank\" rel=\"noopener\">Couchbase Enterprise page<\/a><\/li>\n<li style=\"font-weight: 400;\"><a href=\"https:\/\/www.couchbase.com\/blog\/ko\/products\/capella\/\" target=\"_blank\" rel=\"noopener\">Couchbase Capella page<\/a><\/li>\n<li style=\"font-weight: 400;\"><a href=\"https:\/\/www.couchbase.com\/blog\/ko\/products\/vector-search\/\" target=\"_blank\" rel=\"noopener\">Vector Search page<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>AI is reshaping how we build and run modern applications. From real-time recommendations to agentic assistants, teams need data platforms that can keep up with new performance and flexibility demands. That\u2019s what Couchbase 8.0 is built for\u2014a unified platform that [&hellip;]<\/p>","protected":false},"author":62223,"featured_media":17646,"comment_status":"open","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[10122,2225,1816,9417,9937],"tags":[10159,10158,10162,1340,10161,10160],"ppma_author":[8966],"class_list":["post-17645","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence-ai","category-cloud","category-couchbase-server","category-performance","category-vector-search","tag-8-0","tag-hyperscale","tag-natural-language-query","tag-scalability","tag-vamana","tag-vector-index"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.1 (Yoast SEO v26.1.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications - The Couchbase Blog<\/title>\n<meta name=\"description\" content=\"Couchbase 8.0 combines speed, scale, and flexibility in a single platform that runs anywhere\u2014on-prem, in Capella DBaaS, or at the edge.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/ko\/couchbase-8-hyperscale-ai\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications\" \/>\n<meta property=\"og:description\" content=\"Couchbase 8.0 combines speed, scale, and flexibility in a single platform that runs anywhere\u2014on-prem, in Capella DBaaS, or at the edge.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/ko\/couchbase-8-hyperscale-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2025-10-21T12:45:15+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-10-21T19:59:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/blog-couchbase-8-hyperscale-ai-1024x536.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"536\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Jeff Morris, VP Product Marketing\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@JeffMMorris\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jeff Morris, VP Product Marketing\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"9\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/\"},\"author\":{\"name\":\"Jeff Morris, VP Product Marketing\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/d64e614a24acc9ed36e77607fc2fb647\"},\"headline\":\"Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications\",\"datePublished\":\"2025-10-21T12:45:15+00:00\",\"dateModified\":\"2025-10-21T19:59:54+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/\"},\"wordCount\":1769,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/blog-couchbase-8-hyperscale-ai.png\",\"keywords\":[\"8.0\",\"hyperscale\",\"natural language query\",\"Scalability\",\"Vamana\",\"vector index\"],\"articleSection\":[\"Artificial Intelligence (AI)\",\"Couchbase Capella\",\"Couchbase Server\",\"High Performance\",\"Vector Search\"],\"inLanguage\":\"ko-KR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/\",\"url\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/\",\"name\":\"Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications - The Couchbase Blog\",\"isPartOf\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/blog-couchbase-8-hyperscale-ai.png\",\"datePublished\":\"2025-10-21T12:45:15+00:00\",\"dateModified\":\"2025-10-21T19:59:54+00:00\",\"description\":\"Couchbase 8.0 combines speed, scale, and flexibility in a single platform that runs anywhere\u2014on-prem, in Capella DBaaS, or at the edge.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#breadcrumb\"},\"inLanguage\":\"ko-KR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#primaryimage\",\"url\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/blog-couchbase-8-hyperscale-ai.png\",\"contentUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/blog-couchbase-8-hyperscale-ai.png\",\"width\":2400,\"height\":1256},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.couchbase.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#website\",\"url\":\"https:\/\/www.couchbase.com\/blog\/\",\"name\":\"The Couchbase Blog\",\"description\":\"Couchbase, the NoSQL Database\",\"publisher\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.couchbase.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ko-KR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#organization\",\"name\":\"The Couchbase Blog\",\"url\":\"https:\/\/www.couchbase.com\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/04\/admin-logo.png\",\"contentUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/04\/admin-logo.png\",\"width\":218,\"height\":34,\"caption\":\"The Couchbase Blog\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/d64e614a24acc9ed36e77607fc2fb647\",\"name\":\"Jeff Morris, VP Product Marketing\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/image\/d30352f9b7e0c9862c1707074f15bcd0\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/8c718e94092d1dde50a7ed8a265dcb948a7d005dd850bfd0daefe013cbe388a6?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/8c718e94092d1dde50a7ed8a265dcb948a7d005dd850bfd0daefe013cbe388a6?s=96&d=mm&r=g\",\"caption\":\"Jeff Morris, VP Product Marketing\"},\"description\":\"Jeff Morris is VP of Product, Solutions and Customer Marketing at Couchbase. He's spent over three decades marketing software development tools, databases, analytic tools and other open source products. Needless to say, he's a big believer in Couchbase Capella because it is as easy as SQL, versatile for many use cases and blazingly fast, which delivers exceptionally low TCO.\",\"sameAs\":[\"https:\/\/www.linkedin.com\/in\/jeffmorris3\/\",\"https:\/\/x.com\/JeffMMorris\"],\"url\":\"https:\/\/www.couchbase.com\/blog\/ko\/author\/jmorris\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications - The Couchbase Blog","description":"Couchbase 8.0 combines speed, scale, and flexibility in a single platform that runs anywhere\u2014on-prem, in Capella DBaaS, or at the edge.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.couchbase.com\/blog\/ko\/couchbase-8-hyperscale-ai\/","og_locale":"ko_KR","og_type":"article","og_title":"Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications","og_description":"Couchbase 8.0 combines speed, scale, and flexibility in a single platform that runs anywhere\u2014on-prem, in Capella DBaaS, or at the edge.","og_url":"https:\/\/www.couchbase.com\/blog\/ko\/couchbase-8-hyperscale-ai\/","og_site_name":"The Couchbase Blog","article_published_time":"2025-10-21T12:45:15+00:00","article_modified_time":"2025-10-21T19:59:54+00:00","og_image":[{"width":1024,"height":536,"url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/blog-couchbase-8-hyperscale-ai-1024x536.png","type":"image\/png"}],"author":"Jeff Morris, VP Product Marketing","twitter_card":"summary_large_image","twitter_creator":"@JeffMMorris","twitter_misc":{"Written by":"Jeff Morris, VP Product Marketing","Est. reading time":"9\ubd84"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#article","isPartOf":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/"},"author":{"name":"Jeff Morris, VP Product Marketing","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/d64e614a24acc9ed36e77607fc2fb647"},"headline":"Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications","datePublished":"2025-10-21T12:45:15+00:00","dateModified":"2025-10-21T19:59:54+00:00","mainEntityOfPage":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/"},"wordCount":1769,"commentCount":0,"publisher":{"@id":"https:\/\/www.couchbase.com\/blog\/#organization"},"image":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#primaryimage"},"thumbnailUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/blog-couchbase-8-hyperscale-ai.png","keywords":["8.0","hyperscale","natural language query","Scalability","Vamana","vector index"],"articleSection":["Artificial Intelligence (AI)","Couchbase Capella","Couchbase Server","High Performance","Vector Search"],"inLanguage":"ko-KR","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/","url":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/","name":"Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications - The Couchbase Blog","isPartOf":{"@id":"https:\/\/www.couchbase.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#primaryimage"},"image":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#primaryimage"},"thumbnailUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/blog-couchbase-8-hyperscale-ai.png","datePublished":"2025-10-21T12:45:15+00:00","dateModified":"2025-10-21T19:59:54+00:00","description":"Couchbase 8.0 combines speed, scale, and flexibility in a single platform that runs anywhere\u2014on-prem, in Capella DBaaS, or at the edge.","breadcrumb":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#breadcrumb"},"inLanguage":"ko-KR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/"]}]},{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#primaryimage","url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/blog-couchbase-8-hyperscale-ai.png","contentUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/blog-couchbase-8-hyperscale-ai.png","width":2400,"height":1256},{"@type":"BreadcrumbList","@id":"https:\/\/www.couchbase.com\/blog\/couchbase-8-hyperscale-ai\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.couchbase.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications"}]},{"@type":"WebSite","@id":"https:\/\/www.couchbase.com\/blog\/#website","url":"https:\/\/www.couchbase.com\/blog\/","name":"\uce74\uc6b0\uce58\ubca0\uc774\uc2a4 \ube14\ub85c\uadf8","description":"NoSQL \ub370\uc774\ud130\ubca0\uc774\uc2a4, Couchbase","publisher":{"@id":"https:\/\/www.couchbase.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.couchbase.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ko-KR"},{"@type":"Organization","@id":"https:\/\/www.couchbase.com\/blog\/#organization","name":"\uce74\uc6b0\uce58\ubca0\uc774\uc2a4 \ube14\ub85c\uadf8","url":"https:\/\/www.couchbase.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/04\/admin-logo.png","contentUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/04\/admin-logo.png","width":218,"height":34,"caption":"The Couchbase Blog"},"image":{"@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/d64e614a24acc9ed36e77607fc2fb647","name":"Jeff Morris, \uc81c\ud488 \ub9c8\ucf00\ud305 \ubd80\uc0ac\uc7a5","image":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/image\/d30352f9b7e0c9862c1707074f15bcd0","url":"https:\/\/secure.gravatar.com\/avatar\/8c718e94092d1dde50a7ed8a265dcb948a7d005dd850bfd0daefe013cbe388a6?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/8c718e94092d1dde50a7ed8a265dcb948a7d005dd850bfd0daefe013cbe388a6?s=96&d=mm&r=g","caption":"Jeff Morris, VP Product Marketing"},"description":"Jeff Morris\ub294 Couchbase\uc758 \uc81c\ud488, \uc194\ub8e8\uc158 \ubc0f \uace0\uac1d \ub9c8\ucf00\ud305 \ub2f4\ub2f9 \ubd80\uc0ac\uc7a5\uc785\ub2c8\ub2e4. \uadf8\ub294 30\ub144 \ub118\uac8c \uc18c\ud504\ud2b8\uc6e8\uc5b4 \uac1c\ubc1c \ub3c4\uad6c, \ub370\uc774\ud130\ubca0\uc774\uc2a4, \ubd84\uc11d \ub3c4\uad6c \ubc0f \uae30\ud0c0 \uc624\ud508 \uc18c\uc2a4 \uc81c\ud488\uc744 \ub9c8\ucf00\ud305\ud574 \uc654\uc2b5\ub2c8\ub2e4. \ub9d0\ud560 \ud544\uc694\ub3c4 \uc5c6\uc774 \uadf8\ub294 SQL\ub9cc\ud07c \uc27d\uace0, \ub2e4\uc591\ud55c \uc0ac\uc6a9 \uc0ac\ub840\uc5d0 \ub2e4\uc6a9\ub3c4\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc73c\uba70, \ub180\ub77c\uc6b8 \uc815\ub3c4\ub85c \ube60\ub974\uba70, \ub9e4\uc6b0 \ub0ae\uc740 TCO\ub97c \uc81c\uacf5\ud558\ub294 Couchbase Capella\uc758 \uc5f4\ub82c\ud55c \uc2e0\ubd09\uc790\uc785\ub2c8\ub2e4.","sameAs":["https:\/\/www.linkedin.com\/in\/jeffmorris3\/","https:\/\/x.com\/JeffMMorris"],"url":"https:\/\/www.couchbase.com\/blog\/ko\/author\/jmorris\/"}]}},"authors":[{"term_id":8966,"user_id":62223,"is_guest":0,"slug":"jmorris","display_name":"Jeff Morris, VP Product Marketing","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/8c718e94092d1dde50a7ed8a265dcb948a7d005dd850bfd0daefe013cbe388a6?s=96&d=mm&r=g","author_category":"","last_name":"Morris, VP Product Marketing","first_name":"Jeff","job_title":"","user_url":"","description":"Jeff Morris\ub294 Couchbase\uc758 \uc81c\ud488 \ubc0f \uc194\ub8e8\uc158 \ub9c8\ucf00\ud305 \ub2f4\ub2f9 \ubd80\uc0ac\uc7a5\uc785\ub2c8\ub2e4. \uadf8\ub294 30\ub144 \ub118\uac8c \uc18c\ud504\ud2b8\uc6e8\uc5b4 \uac1c\ubc1c \ub3c4\uad6c, \ub370\uc774\ud130\ubca0\uc774\uc2a4, \ubd84\uc11d \ub3c4\uad6c, \ud074\ub77c\uc6b0\ub4dc \uc11c\ube44\uc2a4 \ubc0f \uae30\ud0c0 \uc624\ud508 \uc18c\uc2a4 \uc81c\ud488\uc744 \ub9c8\ucf00\ud305\ud574 \uc654\uc2b5\ub2c8\ub2e4. \uadf8\ub294 \ube60\ub974\uace0 \uc720\uc5f0\ud558\uba70 \uce5c\uc219\ud558\uace0 \ud569\ub9ac\uc801\uc778 \uac00\uaca9\uc758 \uc11c\ube44\uc2a4\ud615 \ud074\ub77c\uc6b0\ub4dc \ub370\uc774\ud130\ubca0\uc774\uc2a4\ub97c \ucc3e\ub294 \uc0ac\ub78c\uc774\ub77c\uba74 \ub204\uad6c\ub77c\ub3c4 Couchbase\ub97c \ud655\uc778\ud558\uba74 \ub354 \uc774\uc0c1 \uace0\ubbfc\ud560 \ud544\uc694\uac00 \uc5c6\ub2e4\uace0 \ub9d0\ud569\ub2c8\ub2e4."}],"_links":{"self":[{"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/posts\/17645","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/users\/62223"}],"replies":[{"embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/comments?post=17645"}],"version-history":[{"count":0,"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/posts\/17645\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/media\/17646"}],"wp:attachment":[{"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/media?parent=17645"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/categories?post=17645"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/tags?post=17645"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/ko\/wp-json\/wp\/v2\/ppma_author?post=17645"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}