apache / pinot
Apache Pinot: a real-time analytics database for low-latency SQL and vector search, serving user-facing and agent-facing applications
Why this job: topics: vector-database, vector-search, vector search
What it does
- Fast Queries. Filter and aggregate petabyte data sets with P90 latencies in the tens of milliseconds—fast enough to return live results interactively in the UI.
- High Concurrency. With user-facing applications querying Pinot directly, it can serve hundreds of thousands of concurrent queries per second.
- SQL Query Interface. The highly standard SQL query interface is accessible through a built-in query editor and a REST API.
- Versatile Joins. Perform arbitrary fact/dimension and fact/fact joins on petabyte data sets.
- Column-oriented. a column-oriented database with various compression schemes such as Run Length, Fixed Bit Length.
Get started
docker run --rm --name pinot-quickstart \
-p 127.0.0.1:9000:9000 \
apachepinot/pinot:1.6.0 QuickStart -type batch brew install protobuf
brew install protoc-gen-grpc-java- Maintenance
- Active
- Last commit yesterday
- Stars
- 6,171
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- release-1.6.0
- Released 17 days ago
- Built with
- Java
- 98% of the code
Is it looked after?
- Contributors
- 15
- Last 90 days
- Issues
- 73% closed
- 902 still open
- Pull requests
- 14,033 merged
- 373 waiting
- Releases
- 25
- 4 in the last year
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More: languages, topics and project record
Languages
- Java 98%
- TypeScript 2%
- Scala <1%
- Python <1%
Topics
- java
- ai-agents
- analytics
- database
- distributed-database
- kafka
- olap
- real-time-analytics
- sql
- vector-database
- vector-search
Project record
- JobRAG and search
- StatusListed
- Commits16,435
- Forks1,532
- Watching219
- Stars in 28 days+20
- CreatedMay 19, 2014
- First seen by usNov 7, 2026
- CheckedNov 9, 2026