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Superset

License Latest Release on Github Build Status PyPI version PyPI GitHub Stars Contributors Last Commit Open Issues Open PRs Get on Slack Documentation

Superset logo (light)

A modern, enterprise-ready business intelligence web application.

Documentation

  • User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases.
  • Administrator Guide — Install, configure, and operate Superset. Covers security, scaling, and database drivers.
  • Developer Guide — Contribute to Superset or build on its REST API and extension framework.

Why Superset? | Supported Databases | Release Notes | Get Involved | Resources | Organizations Using Superset

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

Superset provides:

  • A no-code interface for building charts quickly
  • A powerful, web-based SQL Editor for advanced querying
  • A lightweight semantic layer for quickly defining custom dimensions and metrics
  • Out of the box support for nearly any SQL database or data engine
  • A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
  • Lightweight, configurable caching layer to help ease database load
  • Highly extensible security roles and authentication options
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Screenshots & Gifs

Video Overview

superset-video-1080p.webm

Large Gallery of Visualizations


Craft Beautiful, Dynamic Dashboards


No-Code Chart Builder


Powerful SQL Editor


Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

Amazon Athena Â? Amazon DynamoDB Â? Amazon Redshift Â? Apache Doris Â? Apache Drill Â? Apache Druid Â? Apache Hive Â? Apache Impala Â? Apache Kylin Â? Apache Pinot Â? Apache Solr Â? Apache Spark SQL Â? Ascend Â? Aurora MySQL (Data API) Â? Aurora PostgreSQL (Data API) Â? Azure Data Explorer Â? Azure Synapse Â? ClickHouse Â? Cloudflare D1 Â? CockroachDB Â? Couchbase Â? CrateDB Â? Databend Â? Databricks Â? Denodo Â? Dremio Â? DuckDB Â? Elasticsearch Â? Exasol Â? Firebird Â? Firebolt Â? Google BigQuery Â? Google Sheets Â? Greenplum Â? Hologres Â? IBM Db2 Â? IBM Netezza Performance Server Â? MariaDB Â? Microsoft SQL Server Â? MonetDB Â? MongoDB Â? MotherDuck Â? OceanBase Â? Oracle Â? Presto Â? RisingWave Â? SAP HANA Â? SAP Sybase Â? Shillelagh Â? SingleStore Â? Snowflake Â? SQLite Â? StarRocks Â? Superset meta database Â? TDengine Â? Teradata Â? TimescaleDB Â? Trino Â? Vertica Â? YDB Â? YugabyteDB

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Try out Superset's quickstart guide or learn about the options for production deployments.

Get Involved

Contributor Guide

Interested in contributing? Check out our Developer Guide to find resources around contributing along with a detailed guide on how to set up a development environment.

Resources

Understanding the Superset Points of View

Repo Activity

Performance Stats of apache/superset - Last 28 days