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This is an exciting project. Few highlights: - Query processor is DuckDB - as long as it translates PG type system to DuckDB typesystem well - it will be very f
by nikita 2y ago
This is an exciting project. Few highlights:
- Query processor is DuckDB - as long as it translates PG type system to DuckDB typesystem well - it will be very fast.
- Data is stored on S3 in Parquet with Delta or Iceberg metadata. This is really cool. You don't need to push analytical data through WAL - only metadata goes into WAL. This mean fast loading at least in theory, and compatibility with all the Delta/Iceberg ecosystem.
- Once they build real-time ingest, you can just push timeseries into this system and you don't need a second system like Clickhouse
- tarun_anand 2y agoData is also stored in the local filesystem. How does that compare with vanilla PG and/or S3 based storage?