Implementations have found ways to optimize transform pipelines by collapsing identity transforms, short-circuiting non-observable paths, deferring buffer allocation, or falling back to native code that does not run JavaScript at all. Deno, Bun, and Cloudflare Workers have all successfully implemented "native path" optimizations that can help eliminate much of the overhead, and Vercel's recent fast-webstreams research is working on similar optimizations for Node.js. But the optimizations themselves add significant complexity and still can't fully escape the inherently push-oriented model that TransformStream uses.
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That was too much, but they still managed to handle over/close to 100 000 docs/rows inserts per second in a batch mode. MongoDB decisively wins here with 115 batch inserts/s vs 81 batch inserts/s for PostgreSQL; latency (queries duration) difference is even more pronounced - 46.766 ms vs 23.828 ms by mean and 127.184 ms vs 821.431 ms by 99th percentile (the lower the better).