Sink 5000 rows/SEC from Kafka –> Postgres using Python and 250MiB Mem
Sink 5000 rows/SEC from Kafka –> Postgres using Python and 250MiB Mem
Hello! I've been working on building a flink alternative using DuckDB. Building off of DuckDB makes it easy to leverage all the integrations DuckDB supports. Using batching it's trivial to insert 5000 rows / second into a small postgres instance running locally in docker! Would love your thoughts and feedback, thank you! What do your data stacks look like for doing this non-differentiating data work like connecting streams and sources together?
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