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.

  • チャレンジ#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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  • チャレンジ #2

    Apps perform poorly

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

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  • チャレンジ #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
Couchbase
Legacy databases
SQL
ACIDトランザクション
Flexible JSON
SQL++ (SQL for JSON)
Built-in caching
Multipurpose data access
Built-in horizontal scaling

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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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