How Couchbase Outperforms Legacy Databases Using SQL and JSON

SQL and JSON, the best of both worlds.

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Multipurpose data access with SQL++ reduces multi-database complexity

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CHALLENGES

Legacy databases vs. Couchbase

When you switch from legacy databases to Couchbase, you can use SQL++ for familiar query access, store data as JSON (avoiding restrictive relational data models), and build new features with our multi-model services.

  • 챌린지 #1

    Rigid data models slow down dev cycles

    Rigid data models hinder agility. App objects that are split into tables must be reassembled.

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  • 챌린지 #2

    Apps perform poorly

    Relational modeling requires many reads/writes with no built-in managed cache.

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  • 도전 #3

    New requirements increase tools and costs

    Bolted-on tools add work. Caching, analytics, mobile, vector, and AI increase setup and maintenance.

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  • CHALLENGE #4

    It’s hard to scale deployments with HA

    Legacy DBs scale poorly. They’re difficult, costly, and prone to 2 a.m. weekend downtime headaches.

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FEATURES

Key features of Couchbase vs. legacy databases

Whatu2019s included
코우치베이스
Legacy databases
SQL
산 거래
Flexible JSON
SQL++ (SQL for JSON)
Built-in caching
Multipurpose data access
Built-in horizontal scaling

고객

고객의 의견

  • “Couchbase is a trifecta of value. We get more features, save time, and spend less money all at once.”

    필립 루퍼시오, 기술 부사장, BroadJump

    500%

    query performance improvement

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  • “We are able to put data to work in a more efficient way, and we have built a strong foundation for the future.”

    , 아키텍처 리드, 닐슨

    80%

    more efficient change management

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  • “Couchbase puts us in a good place to really achieve our goal of a perfect customer experience.”

    스캇 카니, 컴캐스트, 소프트웨어 개발 이사

    40M+

    문서

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Try SQL++ in your favorite IDE

Couchbase IDE plugins help you migrate, navigate data, develop SQL++, and more.

Plugins And Integrations

Learn more about working with SQL and JSON

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