Apache Pinot icon
Apache Pinot icon

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).

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Platforms

  • Self-Hosted
  • Kubernetes
  • Docker
  • Amazon Web Services
  • Microsoft Azure
  • Mac
  • Windows
  • Linux
  • BSD
Apache Pinot screenshot 1
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Features

  1.  Real-time analytics
  2.  Low Latency

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GitHub repository

  •  6,062 Stars
  •  1,462 Forks
  •  1755 Open Issues
  •   Updated  
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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.

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