Apache Pinot
Real-Time Analytics for Users and AI Agents
Apache Pinot is an open-source distributed OLAP database designed for user-facing and AI agent-facing real-time analytics. It delivers sub-second SQL queries on fresh streaming data at petabyte scale with high concurrency, supporting use cases like embedded dashboards, customer analytics, and LLM-powered decision engines. Originally developed at LinkedIn, it supports ingestion from Kafka, Pulsar, Kinesis, and batch sources like S3 and Spark.
Pinot uses a distributed columnar storage architecture to ingest data from streaming and batch sources in real time, then serves SQL queries with low latency across horizontally scalable nodes.
Engineering teams building user-facing analytics products or AI agent backends
Background.
- Status
- launched
- Business model
- open-source
- Company
- Apache Software Foundation
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