Analytics on open formats just got fast.
Pivot brings the speed and concurrency the AI era demands to open data formats. Run low-latency, high-concurrency queries on external Iceberg, or Pivot's managed Delta Lake - without duplicating your data into proprietary real-time analytics engines.
01 — FASTThe fastest real-time analytical engine.
Relative query time, lower is better.
Benchmark harness and queries are in the repo — reproduce them yourself.
All runs: AWS c8gd.metal-48xl
02 — SCALABLEScale up, down, or to zero — almost instantly.
With object storage as its backing store and only state, Pivot can be scaled up, down, or to zero almost instantly.
03 — PORTABLERun anywhere. Query the same Parquet.
Run Pivot as a shared server or locally for ad hoc queries and AI agents. Both access the same tables in object storage, with no extra copies to maintain.
Connect applications, BI tools, and SQL clients to a shared Pivot server or cluster using the Postgres protocol.
Run Pivot locally from your terminal or AI agent and query object storage directly, with no server to manage.
04 — OPENOpen source. Open formats.
Built on Delta Lake and Apache Iceberg, Pivot keeps your data open and accessible to tools like Snowflake, Spark, DuckDB, and Trino.
Pivot handles ingestion, compaction, and statistics to keep your tables ready for sub-second SQL queries. Data is stored in Delta Lake, so other engines can query the same files.
Connect Pivot to your existing Iceberg tables for low-latency queries at high concurrency. Your data stays where it is, with no migration or additional copy to maintain.