Apache Pinot™: The real-time analytics open source platform for lightning-fast insights, effortless scaling, and cost-effective data-driven decisions.
Originally developed at LinkedIn, Apache PinotTM is a real-time distributed OLAP datastore, purpose-built to provide ultra low-latency analytics at extremely high throughput.
With its distributed architecture and columnar storage, Apache Pinot empowers businesses to gain valuable insights from real-time data, supporting data-driven decision-making and applications.
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Filter and aggregate petabyte data sets with P90 latencies in the tens of milliseconds—fast enough to return live results interactively in the UI.
With user-facing applications querying Pinot directly, it can serve hundreds of thousands of concurrent queries per second.
Ingest from Apache Kafka, Apache Pulsar, and AWS Kinesis in real time. Batch ingest from Hadoop, Spark, AWS S3, and more. Combine batch and streaming sources into a single table for querying.
Ingest the same record many times, but see only the latest value at query time. Upserts are built-in and production-tested since version 0.6.
Perform arbitrary fact/dimension and fact/fact joins on petabyte data sets.
Choose from pluggable indexes including timestamp, inverted, StarTree, Bloom filter, range, text, JSON, and geospatial options.
Pinot is horizontally scalable and fault-tolerant, adaptable to workloads across the storage and throughput spectrum.
The highly standard SQL query interface is accessible through a built-in query editor and a REST API.
Manage and secure data in isolated logical namespaces for cloud-friendly resource management.
“Apache Pinot has truly played a fundamental role in Razorpay's monitoring journey!”
- Prashant Pandey
“Pinot enables us to execute sub-second, petabyte-scale aggregation queries over fresh financial events in our internal ledger. We chose Pinot because of its rich feature set and scalability, which has enabled better performance than our previous solution — at a lower cost.”
- Peter Bakkum
“Forget sluggish queries!! Apache Pinot whipped our runtime aggregates, with sub-second latencies on all but the most complex queries. On top of the speed boost, Pinot slashed our storage footprint by 10x, letting us shrink the cluster by a whopping 500 nodes”
- WEBEX
Bhaarat Sharma, Robert Zych
March 5th, 2025 • 1 min read
Peter Corless
December 20th, 2024 • 1 min read
Ankit Sultana, Caner Balci, Uber Data Team
September 3rd, 2024 • 1 min read
Apache Pinot OSS YouTube Channel is a dedicated video hub for all things Pinot. Our goal is to bring together meetup talks, tutorials, and real-world use cases in one place, making it easier for the community to learn and share.
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