6 ms·
Benchmark demonstrates 5-37x improved performance for query on Iceberg tables
- dashdoesdata 5mo agoAt StarTree, we've taken a novel approach to querying Iceberg tables: applying Apache Pinot-style indexes to improve performance, lower costs, and increase concurrency… without moving data into a separate system. In our tests on a ~1TB dataset, this reduced query latency significantly: * 500+ QPS with sub-second latency * Complex aggregations <650ms * ~5–37x faster than ClickHouse and ~4–17x faster than Trino in the same setup We welcome comments and input from this community!
- dadawhale 5mo ago[dead]
- PeterCorless 5mo agoThis is really cool stuff. Amazing the efficiencies Pinot brings to data systems. [Disclosure: I used to work at StarTree. Still a fan!]