Pinot - A realtime distributed OLAP datastore

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, so that it can scale to larger data sets and higher query rates as needed.

Its features include:

• A column-oriented database with various compression schemes such as Run Length, Fixed Bit Length
• Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index
• Ability to optimize query/execution plan based on query and segment metadata .
• Near real time ingestion from Kafka and batch ingestion from Hadoop
• SQL like language that supports selection, aggregation, filtering, group by, order by, distinct queries on fact data.
• Support for multivalued fields
• Horizontally scalable and fault tolerant