Pinot Insights

What is Pinot?

Apache Pinot is a real-time distributed OLAP datastore, purpose-built for low-latency, high-concurrency analytics. It is designed to ingest streams of data and make them immediately available for querying with SQL. Pinot is commonly used for use cases requiring real-time analytics, such as business intelligence dashboards, anomaly detection, and user-facing analytics.

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What other technologies are related to Pinot?

Pinot Competitor Technologies

Venice

Venice is a derived data platform and a stream serving system that can be used for similar use cases as Pinot, serving online queries on data.

mentioned alongside Pinot in 62% (104) of relevant job posts

Apache Druid

Apache Druid is a real-time analytics database that competes with Pinot for use cases involving low-latency querying of event data.

mentioned alongside Pinot in 4% (241) of relevant job posts

Trino

Trino is a distributed SQL query engine designed to query large datasets, similar to Pinot. Although Trino focuses more on federation and querying diverse data sources, its querying capabilities overlap with Pinot.

mentioned alongside Pinot in 2% (110) of relevant job posts

Presto

Presto is the predecessor to Trino and shares the same competitive relationship with Pinot.

mentioned alongside Pinot in 1% (194) of relevant job posts

ClickHouse

ClickHouse is a column-oriented database management system that allows generating analytical data reports in real-time, similar to Pinot.

mentioned alongside Pinot in 1% (119) of relevant job posts

Pinot Complementary Technologies

Apache Samza

Apache Samza is a stream processing framework that can be used to prepare and transform data before ingesting it into Pinot.

mentioned alongside Pinot in 23% (117) of relevant job posts

Flink

Apache Flink is a stream processing framework that can be used to process and transform data before it is ingested into Pinot.

mentioned alongside Pinot in 1% (216) of relevant job posts

Kafka

Apache Kafka is a distributed streaming platform. Pinot can ingest data directly from Kafka topics, making it a key component in a real-time analytics pipeline with Pinot.

mentioned alongside Pinot in 0% (505) of relevant job posts