Apache Pinot
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Apache Pinot is an open-source,distributed, column-oriented, online analytical processing (OLAP), data store written in Java. Pinot is designed for low-latency analytical queries over data ingested from both streaming and batch sources. It is suited in contexts where fast analytics, such as aggregations, are needed at high-concurrency, and possibly, with real-time data ingestion. The name Pinot comes from the Pinot grape vines that are pressed into liquid that is used to produce a variety of different wines. The founders of the database chose the name as a metaphor for analyzing vast quantities of data from a variety of different file formats or streaming data sources. Pinot was first created at LinkedIn after the engineering staff determined that there were no off the shelf solutions that met the social networking site's requirements like predictable low latency, data freshness in seconds, fault tolerance and scalability. Pinot is used in production by technology companies such as Uber, Microsoft, and Stripe
Apache Pinot is an open-source,distributed, column-oriented, online analytical processing (OLAP), data store written in Java. Pinot is designed for low-latency analytical queries over data ingested from both streaming and batch sources. It is suited in contexts where fast analytics, such as aggregations, are needed at high-concurrency, and possibly, with real-time data ingestion. The name Pinot comes from the Pinot grape vines that are pressed into liquid that is used to produce a variety of different wines. The founders of the database chose the name as a metaphor for analyzing vast quantities of data from a variety of different file formats or streaming data sources. Pinot was first created at LinkedIn after the engineering staff determined that there were no off the shelf solutions that met the social networking site's requirements like predictable low latency, data freshness in seconds, fault tolerance and scalability. Pinot is used in production by technology companies such as Uber, Microsoft, and Stripe
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