Difference between revisions of "Pinot"

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(Created page with "Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data source...")
 
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Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as [[Hadoop]] and flat files) as well as online sources (such as [[Kafka]]). Pinot is designed to scale horizontally.
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Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as [[Hadoop]] and flat files) as well as online sources (such as [[Apache Kafka]]). Pinot is designed to scale horizontally.
   
 
https://github.com/linkedin/pinot
 
https://github.com/linkedin/pinot

Revision as of 10:45, 13 June 2015

Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Apache Kafka). Pinot is designed to scale horizontally.

https://github.com/linkedin/pinot