Generative AI (GenAI) requires databases that can efficiently handle complex, large-scale data structures. This post compares PostgreSQL and MongoDB for GenAI workloads, highlighting that MongoDB, with its BSON format, offers superior performance for large documents and multiple attributes versus PostgreSQL's JSON/JSONB handling. Specific benchmarks in write and read operations underscore how PostgreSQL struggles with large payloads, whereas MongoDB maintains consistent performance, making it a better choice for GenAI tasks.

8m read timeFrom thenewstack.io
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Comparing MongoDB to PostgreSQLTesting More Attributes and Bigger PayloadsMongoDB vs. PostgreSQL Read TestSummarizing the Results
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