Couchbase vs. MongoDB™: Performance, AI, and Mobile Compared
Why businesses are switching from MongoDB to Couchbase – discover the advantages.
도전
MongoDB vs. Couchbase: performance, scalability & deployment challenges
Teams moving from MongoDB to Couchbase often cite slowdowns at scale, a separate cache to manage, and the end of MongoDB Device Sync in 2025. Benchmarks show where the gap is widest.
챌린지 #1
AI-powered applications
MongoDB’s agent platform is still in preview. Couchbase gives agents a full AI Data Plane today.
챌린지 #2
규모에 맞는 성능
In benchANT’s independent tests on identical clusters, Couchbase had 3.9x MongoDB’s throughput.
도전 #3
Multi-region deployments
MongoDB writes each shard through one primary. Couchbase XDCR lets every region take writes.
챌린지 #4
Query in the language your team knows
Skip the learning curve. Couchbase SQL++ lets your team query JSON with the SQL they already know.
CHALLENGE #5
모바일 및 에지 컴퓨팅
MongoDB retired Device Sync in 2025 and points users to partners. Couchbase Mobile syncs natively.
CHALLENGE #6
Limited analytics offering
MongoDB runs analytics on copies of operational data. Couchbase adds a dedicated columnar engine.
비교하기
Key features of Couchbase vs. MongoDB
코드 스니펫
Comparison of equivalent queries in Couchbase SQL++ and MongoDB’s MQL
/* equivalent to the Mongo example */
SELECT SUM(value * volume) AS val, symbol
FROM db.stocks
WHERE symbol IN ( "AAPL", "GOOG" ) AND value > 0
GROUP BY symbol
ORDER BY val DESC, symbol ASC// equivalent to the SQL++ example
db.stocks.aggregate([
{ "$match": {
"$and": [
{"symbol": {
"$in": [
"AAPL",
"GOOG"]}},
{ "value": {
"$gt": 0 }}]}},
{ "$group": {
"_id": {
"symbol": "$symbol" },
"sum(value * volume)": {
"$sum": {
"$multiply": [
"$value",
"$volume"]}}}},
{ "$project": {
"_id": 0,
"sum(value * volume)": "$sum(value * volume)",
"symbol": "$_id.symbol"}},
{ "$sort": {
"sum(value * volume)": -1,
"symbol": 1 }}]})고객
고객의 의견
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“Couchbase stores all the real-time communications data and supports query acquisition under high concurrency.”
Andy Qiu, CEO, Jinmu70
백만 개의 문서
8K
초당 작업 수
-
“We found that the replication technology across data centers for Couchbase was superior, especially for large workloads.”
클라우스 몰트, CIO, FICO<1
ms 응답 시간
24×365
애플리케이션 가동 시간
Diverse business colleagues discussing about new projects and working together during office meeting in modern workspace. -
"서버를 절반 이하로 줄임으로써 성능을 향상하고 훨씬 더 확장 가능한 아키텍처를 확보할 수 있습니다."
아미르 이쉬 샬롬, Sr. Director of Operations, Viber15
billion call and message events/day
60%
총 서버 수 감소
자주 묻는 질문
Couchbase vs. MongoDB FAQ
Quick answers about how Couchbase and MongoDB compare on throughput, vector search, SQL, mobile sync, and total cost of ownership.
Couchbase outperforms MongoDB on throughput and latency, in independent YCSB benchmarks by benchANT, due to its memory-first architecture and built-in caching layer.
Couchbase Hyperscale Vector Index achieves 700+ QPS at billion-vector scale. MongoDB Atlas returned 2 QPS with 40-second P95 latency in the same Couchbase-run VectorDBBench tests.
Yes. SQL++ extends SQL to JSON with JOINs, aggregations, and complex queries. MongoDB uses its own query language, with joins through $lookup and read-only SQL for reporting.
Couchbase typically delivers lower TCO than MongoDB through built-in caching, fewer required add-ons, and more efficient cluster sizing, reducing infrastructure and licensing costs.
Yes. Couchbase Lite and Capella App Services power always-on mobile and edge apps. MongoDB retired Atlas Device Sync on September 30, 2025, and now refers mobile users to third-party partners.
계속 탐험해 보세요
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화이트페이퍼
Couchbase Capella vs. MongoDB Atlas – Altoros benchmark study
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블로그
Couchbase delivers 350x MongoDB’s vector search throughput at 1B scale
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비디오
Migrating from MongoDB Atlas Device Sync to Couchbase Mobile