

Apache Pinot
Apache Pinot is a real-time distributed OLAP datastore, built to deliver scalable real-time analytics with low latency. It can ingest from batch data sources (such as Hadoop HDFS, Amazon S3, Azure ADLS, Google Cloud Storage) as well as stream data sources (such as Apache Kafka).
Cost / License
- Free
- Open Source
Platforms
- Self-Hosted
- Kubernetes
- Docker
- Amazon Web Services
- Microsoft Azure
- Mac
- Windows
- Linux
- BSD
Features
- Real-time analytics
- Low Latency
Tags
- olap
- data-store
Apache Pinot News & Activities
Recent News
Recent activities
- protmaks added Apache Pinot as alternative to PondPilot
Apache Pinot information
What is Apache Pinot?
Apache Pinot is a real-time distributed OLAP datastore, built to deliver scalable real-time analytics with low latency. It can ingest from batch data sources (such as Hadoop HDFS, Amazon S3, Azure ADLS, Google Cloud Storage) as well as stream data sources (such as Apache Kafka).
Pinot was built by engineers at LinkedIn and Uber and is designed to scale up and out with no upper bound. Performance always remains constant based on the size of your cluster and an expected query per second (QPS) threshold.
For getting started guides, deployment recipes, tutorials, and more, please visit our project documentation at https://docs.pinot.apache.org.






