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Apache Beam vs Apache Pinot

Apache Beam

beam.apache.org

Apache Pinot

pinot.apache.org

Side by side

FigureApache BeamApache Pinot
Price fromFreeFree
Free planYesYes
Free trial——
Open sourceYes—
WebYesYes
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published21
Spec score · Big Data Analytics Software9.1 (#1)8.1 (#12)
Spec score · Streaming Analytics Software9.0 (#1)8.1 (#4)
Founded20162013
SupportBeam users can get community support through the user mailing list, Stack Overflow, and the Beam Slack channel.The project provides Slack, mailing lists, GitHub Issues, and community meetups for questions and discussion.

Plans

Apache Beam

  • Apache BeamFree
  • Apache Beam SDKFree

Apache Beam pricing →

Apache Pinot

  • Apache PinotFree

Apache Pinot pricing →

In their own words

Apache Beam

Apache Beam is an open-source programming model for building data-processing pipelines across batch and streaming workloads. The same model can support both patterns in production, while runners provide different execution back ends, including Dataflow, Flink, Spark, and the Direct Runner. SDKs and quickstarts cover Java, Python, Go, and TypeScript. Pipeline building blocks include ParDo, GroupByKey, Flatten, and Combine, alongside windowing and triggering. Beam I/O connectors supply read and write transforms for external storage in batch or streaming pipelines, with catalog examples such as BigQuery, Snowflake, Apache Parquet, and Apache Iceberg. Beam Playground provides a way to try examples and transforms without a local installation. The software is free and open source; the listed plan is free, but execution costs depend on the runner and infrastructure selected. It targets data and software developers building pipelines on supported back ends. APIs may change before the first stable 1.x release, and semantic-versioning practice has exceptions.

Visit beam.apache.org

Apache Pinot

Apache Pinot is a free, open-source distributed OLAP datastore for real-time analytics and user-facing workloads. It ingests streaming data from Apache Kafka, Apache Pulsar, and AWS Kinesis, plus batch data from Hadoop, Spark, Amazon S3, Azure ADLS, and Google Cloud Storage. Streaming and batch sources can be combined into one queryable table. Pinot provides SQL through a query editor and REST API, with JDBC, Java, Python, and Golang clients for applications. Project materials advertise P90 query latency in the tens of milliseconds on petabyte-scale data and capacity for hundreds of thousands of concurrent queries per second. Logical namespaces provide multitenancy. Security features include HTTP Basic Authentication, ACLs, TLS, mutual TLS, and row-level security filters in version 1.4.0 and later. Superset, Tableau, and Power BI can connect as BI tools. Official installation guidance covers Docker and Kubernetes with Helm. The self-hosted plan is listed at free.

Visit pinot.apache.org