Apache Pinot

Apache Pinot

low-latency, high-throughput, real-time analytics.

Apache Pinot is a real-time distributed OLAP datastore purpose-built for low-latency, high-throughput analytics, and perfect for user-facing analytical workloads.

Apache Pinot™ is a real-time distributed online analytical processing (OLAP) datastore. Use Pinot to ingest and immediately query data from streaming or batch data sources (including, Apache Kafka, Amazon Kinesis, Hadoop HDFS, Amazon S3, Azure ADLS, and Google Cloud Storage).

It’s perfect for user-facing real-time analytics and other analytical use cases, including internal dashboards, anomaly detection, and ad hoc data exploration.

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