SQL vs NoSQL

Overview

What is being compared

SQL and NoSQL databases make opposite trade-offs between guarantees and scale. Neither is universally better; the right choice depends on data shape, query patterns and scale requirements.

• Data layout — Tables with predefined schemas — Flexible schemas
• Relationships — Enforced via foreign keys, queried with joins — Optimized for specific access patterns
• Guarantees — ACID transactions — Some guarantees given up
• Scaling — Vertical first, reads via replicas — Horizontal
• Typical fits — Financial systems, ERPs, complex relationships, reporting, multi-table transactions — User profiles, product catalogs, real-time personalization, IoT sensor data, session stores, global content delivery

Where NewSQL sits

NewSQL systems such as Spanner, CockroachDB and TiDB sit between the two: horizontal scale with ACID and SQL, paid for in cost and complexity. In the grid, green is a strength, yellow is partial or varies by system, and red is the weak spot.

> [!TIP] Scaling up against sharding out, one order read as a join and as a key lookup, and the choice between SQL, NoSQL and NewSQL, step by step in Visual Explanation below.

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