Apache Superset

Apache Superset
Name	Apache Superset
Developer	Apache Software Foundation
Released	2015
Programming language	Python, JavaScript
License	Apache License 2.0

Apache Superset is an open-source data visualization and business intelligence platform designed for interactive analytics, dashboarding, and data exploration. It integrates with a range of SQL-speaking databases and cloud services to provide a web-based interface for creating charts, dashboards, and queries. Superset emphasizes extensibility, performance, and a modern user interface built on contemporary web frameworks.

Overview

Superset provides a graphical environment for analysts and engineers drawn from ecosystems such as PostgreSQL, MySQL, Oracle Database, Microsoft SQL Server, Snowflake, Google BigQuery, Amazon Redshift, Apache Druid, ClickHouse, Apache Kudu, Presto, Trino and Apache Hive. The project bundles a SQL editor, a visualization builder, and a dashboard composer influenced by tools from companies like DropBox, Airbnb, Facebook, LinkedIn and Netflix. It competes and interoperates with platforms such as Tableau (software), Power BI, Looker, Grafana, Metabase (software), Kibana, QlikView, and Redash in enterprise analytics stacks used by organizations like Uber, Shopify, Spotify, and Pinterest. Superset's interface leverages libraries and standards popularized by projects like React (JavaScript library), D3.js, Apache Arrow, SQLAlchemy and Flask (web framework).

History and development

Development began at a technology company influenced by data needs at firms like Airbnb and Lyft, where engineers adopted libraries from Apache Incubator projects and integrated ideas from Open-source software communities. The project entered the Apache Software Foundation ecosystem, moving through the Apache Incubator into a top-level project following governance and meritocratic contributions similar to those of Hadoop, Spark (software), and Kafka (software). Key milestones mirror release and contribution patterns seen in projects such as TensorFlow, Kubernetes, and Docker, with corporate sponsorship and individual maintainers from companies like Twitter, Facebook, and Amazon Web Services contributing drivers, adapters, and performance improvements. Community growth tracks attendance and presentations at conferences akin to Strata Data Conference, Open Source Summit, PyCon, KubeCon, and DataEngConf.

Architecture and components

Superset's architecture separates a web server, a metadata store, and query engines similar to multi-tier designs found in Apache Cassandra, MySQL, and PostgreSQL deployments. The frontend uses React (JavaScript library) and visualization stacks derived from D3.js, ECharts, and mapping via Leaflet (software), while the backend is built on Python (programming language) with Flask (web framework) and integrates database access through SQLAlchemy. A caching layer and async task queue often use Redis, Celery (software), and RabbitMQ, with authentication and single sign-on supported by protocols and providers like OAuth 2.0, SAML, Okta, Keycloak, and LDAP. Storage and orchestration patterns reflect deployments on Amazon Web Services, Google Cloud Platform, Microsoft Azure, and container platforms such as Docker (software) and Kubernetes.

Features and functionality

Superset offers a visual query builder, a SQL IDE with syntax highlighting akin to tools from JetBrains, and a library of chart types comparable to visualizations in Matplotlib, Plotly, Seaborn, and Highcharts. It supports role-based access control modeled after systems used by Red Hat, Oracle Corporation, and Microsoft Corporation, row-level security inspired by practices at Snowflake and Teradata, and performance optimizations like query result caching, async execution, and database-native pushdown similar to strategies in Presto and Apache Drill. Visualization features include geo-mapping with tile providers and coordinate systems used by OpenStreetMap and Mapbox, time series and forecasting displays comparable to outputs from Prophet (software), and extensible plugin frameworks paralleling ecosystems around Grafana and Jupyter Notebook.

Use cases and deployment

Organizations deploy Superset for analytics workloads ranging from product analytics used at firms like Airbnb and Uber to operational dashboards in sectors including finance institutions such as Goldman Sachs and JPMorgan Chase, media companies like The New York Times and The Washington Post, and technology firms like Google and Meta Platforms, Inc.. Typical deployments appear in hybrid architectures combining Amazon Redshift, Snowflake, Google BigQuery, or Apache Druid for storage and OLAP with Superset as the visualization layer. It is frequently containerized with Docker (software) and orchestrated on Kubernetes clusters, integrated with CI/CD pipelines in environments using Jenkins, GitLab CI/CD, or GitHub Actions for automated delivery.

Community and governance

The project is governed under the Apache Software Foundation model with a Project Management Committee and follows contributor practices similar to other ASF projects like Apache Hadoop, Apache Spark, and Apache Kafka. Community engagement occurs on mailing lists, chat channels hosted on platforms like Slack (software), and code collaboration via GitHub, with code review conventions and release management comparable to those practiced in Debian and Fedora Project. Conferences, meetups, and workshops bring together users and contributors from companies such as Airbnb, Twitter, Spotify, Uber, and Netflix, and documentation and training resources mirror educational efforts in projects like OpenAI publications and Coursera courses.

Category:Data visualization software