
Apache Pinot
Apache Pinot is an open-source distributed OLAP datastore for real-time analytics and user-facing workloads.
What Apache Pinot is
Apache Pinot is an open-source distributed OLAP datastore for real-time analytics and user-facing workloads. It combines streaming and batch ingestion in a single queryable table: streaming sources include Apache Kafka, Apache Pulsar, and AWS Kinesis, while batch sources include Hadoop, Spark, AWS S3, Azure ADLS, and Google Cloud Storage. Pinot provides SQL access through a query editor and REST API, as well as JDBC, Java, Python, and Golang clients. Its project materials advertise P90 query latencies in the tens of milliseconds on petabyte-scale data and capacity for hundreds of thousands of concurrent queries per second. Logical namespaces support multitenancy. Security options 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 are listed as BI connections. Deployment guidance covers Docker and Kubernetes with Helm. The software is free and self-hosted, listed as free. Project discussion and help channels include Slack, mailing lists, GitHub Issues, and community meetups.
Good
- Combines streaming and batch sources in one table
- SQL editor, REST API, and client libraries
- Supports Kafka, Pulsar, and Kinesis ingestion
- Offers TLS, mutual TLS, and access controls
- Free open-source self-hosted deployment
Watch out
- Deployment is self-hosted
- Row-level security filters require version 1.4.0 or later
Who it suits
Pinot suits teams building analytics or user-facing workloads that need a distributed datastore and SQL access. It is aimed at users able to deploy and manage a self-hosted system.
Verdict
Pinot brings streaming and batch data together for SQL-based analytics, with a range of client libraries and security controls. Its self-hosted deployment means teams need to manage that environment.
Plans and prices
From Apache Pinot's own pricing page, checked 1 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Apache Pinot | Free | Open-source distributed OLAP datastore · self-hosted deployment |
The facts
Each one read from Apache Pinot's own pages, with the date it was checked.
What it does
- Authentication and authorization
- Pinot supports HTTP Basic Authentication and ACLs for controller and broker access.checked 1 Oct 2026
- Batch ingestion
- Pinot supports batch ingestion from Hadoop, Spark, AWS S3, Azure ADLS, and Google Cloud Storage.checked 1 Oct 2026
- BI integrations
- The documentation lists Superset, Tableau, and Power BI as BI tools that can connect to Pinot.checked 1 Oct 2026
- Client libraries
- Pinot provides JDBC, Java, Python, and Golang clients for external applications.checked 1 Oct 2026
- Concurrency
- Pinot can serve hundreds of thousands of concurrent queries per second.checked 1 Oct 2026
- Deployment
- The official quick install supports Docker and Kubernetes with Helm.checked 1 Oct 2026
- Multitenancy
- Pinot provides isolated logical namespaces for cloud-friendly resource management and data security.checked 1 Oct 2026
- Open source
- Apache Pinot is an open-source distributed OLAP database.checked 1 Oct 2026
- Purpose
- Apache Pinot is a real-time distributed OLAP datastore for low-latency, high-throughput analytics and user-facing workloads.checked 1 Oct 2026
- Query interface
- Pinot provides a SQL query editor and a REST API.checked 1 Oct 2026
- Query latency
- Pinot advertises P90 query latencies in the tens of milliseconds on petabyte-scale data.checked 1 Oct 2026
- Row-level security
- Pinot 1.4.0 and later supports row-level security filters for per-user row visibility.checked 1 Oct 2026
- Streaming ingestion
- Pinot ingests real-time data from Apache Kafka, Apache Pulsar, and AWS Kinesis.checked 1 Oct 2026
- Support
- The project provides Slack, mailing lists, GitHub Issues, and community meetups for questions and discussion.checked 1 Oct 2026
- Transport security
- Pinot supports TLS and mutual TLS for encrypted and authenticated connections.checked 1 Oct 2026
- Unified tables
- Pinot can combine batch and streaming sources into a single queryable table.checked 1 Oct 2026
The company
- Founded
- 2013checked 28 Sep 2026
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