Pinot (Apache)
Open SourceFundedReal-time distributed OLAP database for user and AI analytics
About Pinot (Apache)
Apache Pinot is an open-source, distributed OLAP database designed for real-time analytics on fresh data at petabyte scale. It enables enterprises to deliver sub-second query responses for both user-facing applications and autonomous AI agents, supporting interactive dashboards, embedded analytics, and decision engines. Originally developed at LinkedIn, Pinot excels in handling high concurrency workloads, serving hundreds of thousands of queries per second with low latency.
Pinot is ideal for large enterprises requiring scalable, fault-tolerant analytics infrastructure that integrates streaming and batch data sources such as Apache Kafka, Pulsar, and AWS Kinesis. Its versatile SQL interface, rich indexing options, and built-in multitenancy provide secure, isolated environments for complex analytics use cases. The platform supports upserts, arbitrary joins, and real-time ingestion, making it suitable for applications like customer dashboards, metrics APIs, and AI-powered reasoning systems.
Key Capabilities
- ✓Sub-second query latency on petabyte-scale data
- ✓High concurrency supporting hundreds of thousands queries per second
- ✓Real-time streaming ingestion from Kafka, Pulsar, Kinesis
- ✓Built-in multitenancy for secure data isolation
- ✓Versatile SQL interface with rich indexing options
Integrations
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