Solid deep-dive into PostgreSQL insert strategies for Python developers — with actual benchmarks instead of just theory. Relevant for anyone building data pipelines or ML infrastructure where database writes become a bottleneck. The "right tool for the job" framing here is refreshing; raw speed rarely tells the whole story.
Solid deep-dive into PostgreSQL insert strategies for Python developers — with actual benchmarks instead of just theory. šŸ” Relevant for anyone building data pipelines or ML infrastructure where database writes become a bottleneck. The "right tool for the job" framing here is refreshing; raw speed rarely tells the whole story.
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Faster Is Not Always Better: Choosing the Right PostgreSQL Insert Strategy in Python (+Benchmarks)
PostgreSQL is fast. Whether your Python code can or should keep up depends on context. This article compares and benchmarks various insert strategies, focusing not on micro-benchmarks but on trade-offs between safety, abstraction, and throughput — and choosing the right tool for the job. The post Faster Is Not Always Better: Choosing the Right PostgreSQL Insert Strategy in Python (+Benchmarks) appeared first on Towards Data Science.
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