SQL vs NoSQL — Which Database for UK Software Development? (2025)
SQL (PostgreSQL) is the right default for most UK software projects: ACID guarantees, strong UK GDPR compliance posture (row-level security, structured audit trails), mature tooling, and the largest UK developer community. NoSQL is genuinely better for specific use cases: document stores (Mongo/DynamoDB for product catalogues with variable schemas), time-series (TimescaleDB/InfluxDB for IoT/telemetry), and graph databases (Neo4j for recommendation engines or fraud detection). Most UK projects use PostgreSQL. SQL vs NoSQL is frequently framed as a binary choice. The right answer is usually "SQL, with a specific NoSQL tool for specific use cases." Here is an honest UK-focused breakdown.
| Use Case | Best Choice | Reason |
|---|---|---|
| Transactional web app (most UK software) | PostgreSQL | ACID, RLS for GDPR, best community |
| Product catalogue (variable schema) | MongoDB Atlas / DynamoDB | JSONB in Postgres also works for moderate complexity |
| IoT / time-series sensor data | TimescaleDB (PostgreSQL ext) | Native time-series on Postgres — no separate tool |
| Session storage / caching | Redis | Not a primary database — purpose-built cache |
| Full-text search | Elasticsearch / PostgreSQL FTS | Elastic for complex search; Postgres FTS for simple |
| Recommendation engine / graph | Neo4j / Amazon Neptune | Graph traversal not efficient in SQL |
| Event store / audit log | PostgreSQL (append-only) / EventStoreDB | Immutable event log — PostgreSQL append-only works |
| Real-time leaderboards | Redis Sorted Sets | Sub-millisecond ranked access |
| Multi-tenant UK GDPR isolation | PostgreSQL RLS | Native row-level security — strongest UK GDPR story |
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