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Postgres Just Cracked the Top Fastest Databases for Analytics

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Re: Postgres Just Cracked the Top Fastest Databases for Analytics

#2
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

Re: Postgres Just Cracked the Top Fastest Databases for Analytics

#6
post #2

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/Iceber…

Data is also stored in the local filesystem. How does that compare with vanilla PG and/or S3 based storage?

Re: Postgres Just Cracked the Top Fastest Databases for Analytics

#10

> To enhance query execution speed, we embedded DuckDB as the execution engine for columnstore queries So is it Postgres or DuckDB that cracked the analytics top ?

both??? I mean seeing their homepage this is clearly their business model no?
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