Apache Pinot
pinot.apache.orgReal-Time Analytics for Users and AI Agents
Data & Analyticsreal-time-analyticsolapopen-sourcestreamingsqldistributed-databaseai-agents
About
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.
Problem
Applications and AI agents need sub-second query performance on fresh, high-volume streaming data at massive scale and concurrency.
For
Engineering teams building user-facing analytics products or AI agent backends
How it works
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.
Business model
open-source
Status
launched
Company
Apache Software Foundation