Apache Pinot is an open-source distributed OLAP database designed for real-time analytics in user-facing applications and AI agents. It offers sub-second query latency, high concurrency, and petabyte-scale performance.
About Apache Pinot
Apache Pinot provides a real-time distributed online analytical processing (OLAP) datastore that allows users to ingest and query data from streaming or batch data sources such as Apache Kafka, Amazon Kinesis, Hadoop HDFS, Amazon S3, Azure ADLS, and Google Cloud Storage. It is used for interactive dashboards, LLM-powered decision engines, and other applications requiring sub-second query latency and high concurrency.
Cloud Data WarehousesStreaming Ingestion
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Features
Provide sub-second query latency
Support real-time analytics
Handle high concurrency
Scale to petabyte-size data
Integrate with user-facing applications
Enable AI agent analytics
Perform distributed OLAP processing
Optimize for real-time data ingestion