SQL

When should developers avoid using SQL for data storage?

The question is about SQL .

Answer:
SQL is not suitable when: data lacks a consistent schema and document-oriented storage (MongoDB) better fits the model; write throughput surpasses what a single relational database can handle and horizontal NoSQL scaling is necessary; time-series data with high-frequency writes requires specialised compression through InfluxDB or TimescaleDB; or graph data demands native relationship traversal performance via Neo4j. For most product use cases in 2026, PostgreSQL manages these scenarios adequately before specialised alternatives become necessary.

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