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Apache Pinot

pinot.apache.org

Free plan WebAPISelf-hosted
Visit pinot.apache.org
Spec score 8.1 #4 of 25 in Streaming Analytics Software

What it is

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.

Spec sheet

Purpose
Apache Pinot is a real-time distributed OLAP datastore for low-latency, high-throughput analytics and user-facing workloads.Read 1 Oct 2026 · docs.pinot.apache.org
Deployment
The official quick install supports Docker and Kubernetes with Helm.Read 1 Oct 2026 · pinot.apache.org
Support
The project provides Slack, mailing lists, GitHub Issues, and community meetups for questions and discussion.Read 1 Oct 2026 · docs.pinot.apache.org
Founded
2013Read 28 Sep 2026 · pinot.apache.org
Authentication and authorization
Pinot supports HTTP Basic Authentication and ACLs for controller and broker access.Read 1 Oct 2026 · docs.pinot.apache.org
Batch ingestion
Pinot supports batch ingestion from Hadoop, Spark, AWS S3, Azure ADLS, and Google Cloud Storage.Read 1 Oct 2026 · docs.pinot.apache.org
BI integrations
The documentation lists Superset, Tableau, and Power BI as BI tools that can connect to Pinot.Read 1 Oct 2026 · docs.pinot.apache.org
Client libraries
Pinot provides JDBC, Java, Python, and Golang clients for external applications.Read 1 Oct 2026 · docs.pinot.apache.org
Concurrency
Pinot can serve hundreds of thousands of concurrent queries per second.Read 1 Oct 2026 · pinot.apache.org
Multitenancy
Pinot provides isolated logical namespaces for cloud-friendly resource management and data security.Read 1 Oct 2026 · pinot.apache.org
Open source
Apache Pinot is an open-source distributed OLAP database.Read 1 Oct 2026 · pinot.apache.org
Query interface
Pinot provides a SQL query editor and a REST API.Read 1 Oct 2026 · pinot.apache.org
Query latency
Pinot advertises P90 query latencies in the tens of milliseconds on petabyte-scale data.Read 1 Oct 2026 · pinot.apache.org
Row-level security
Pinot 1.4.0 and later supports row-level security filters for per-user row visibility.Read 1 Oct 2026 · docs.pinot.apache.org
Streaming ingestion
Pinot ingests real-time data from Apache Kafka, Apache Pulsar, and AWS Kinesis.Read 1 Oct 2026 · pinot.apache.org
Transport security
Pinot supports TLS and mutual TLS for encrypted and authenticated connections.Read 1 Oct 2026 · docs.pinot.apache.org
Unified tables
Pinot can combine batch and streaming sources into a single queryable table.Read 1 Oct 2026 · pinot.apache.org

Plans and prices

Apache Pinot Free Open-source distributed OLAP datastore · self-hosted deployment Read 1 Oct 2026 · pinot.apache.org

Every Apache Pinot plan and price →

Strong points and limits

Strong points

  • Open-source distributed OLAP datastore
  • Combines streaming and batch sources in one table
  • SQL editor, REST API, and client libraries
  • Supports Docker and Kubernetes with Helm
  • Offers TLS, mutual TLS, ACLs, and row-level security

Limits

  • Deployment is self-hosted
  • Row-level security requires version 1.4.0 or later
  • Project support is community-based through listed channels
  • Advertised latency and concurrency are project claims

Who it suits

Apache Pinot suits teams building real-time analytics or user-facing applications with streaming and batch data. It is aimed at users comfortable deploying and operating open-source, self-hosted infrastructure.

Verdict

Apache Pinot provides a broad ingestion, query, client, and security surface for real-time OLAP workloads. Its free self-hosted model offers substantial deployment flexibility, with operations left to the adopting team.

Where Specifiction places it

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