Overview

Overview of tools and connectors that integrate with Apache Pinot for querying, visualization, data processing, and observability.

Apache Pinot integrates with a broad ecosystem of tools for querying, visualization, data ingestion, and observability. This page organizes integrations by category to help you find the right tool for your use case.

Query Engines

Run federated SQL queries against Pinot alongside other data sources.

Integration	Description
Trino	Distributed SQL query engine with a built-in Pinot connector for interactive analytics across multiple data sources.
Presto	Distributed SQL query engine originally developed at Facebook, with native Pinot connector support.

BI & Visualization

Connect dashboarding and exploration tools to Pinot for interactive analytics.

Integration	Description
Superset	Open-source BI platform with a native Pinot connector for building dashboards and running ad hoc queries.
Tableau	Enterprise BI platform that can connect to Pinot via JDBC for drag-and-drop visual analytics.
Metabase	Open-source BI tool with a community Pinot driver for self-service analytics and dashboards.

Data Processing Connectors

Write data into Pinot programmatically from batch or streaming processing frameworks.

Integration	Description
Flink Connector	Apache Flink sink for writing data directly into Pinot tables. Ideal for backfilling offline tables and bootstrapping upsert tables.
Spark-Pinot Connector	Read data from Pinot into Spark DataFrames and write data back. Supports distributed parallel scans, column/filter pushdown, and gRPC streaming reads.

Observability

Monitor and detect anomalies in Pinot data.

Integration	Description
ThirdEye	Anomaly detection and root cause analysis platform designed to work with Pinot time-series data.