Looking for an open-source alternative to Tableau?
Whether you're building dashboards, exploring datasets, or enabling self-service analytics across your organization, open-source BI tools offer powerful, flexible solutions without vendor lock-in.
These tools are designed to scale with your data, integrate with your stack, and give both technical and non-technical users the ability to uncover insights, fast.
Explore how open-source platforms can match (and exceed) Tableau’s capabilities, while giving you full control over your data and infrastructure.
Superset
Apache Superset is a powerful, enterprise-ready data visualization platform designed for modern data stacks.
It connects seamlessly to any SQL-speaking database using SQLAlchemy, offering drag-and-drop chart creation for analysts and full SQL IDE for power users.
With over 40 built-in visualization types, a flexible plugin system, and a semantic layer for shared metrics and dimensions, Superset enables teams to create polished, consistent dashboards.
It’s cloud-native and designed for scale, with a caching layer to improve performance, and avoids extra ingestion layers by querying databases directly.
Security features include role-based access control, support for modern authentication, and dashboard customization through CSS and Jinja templates.
Interactive filters, drill-to-detail, and cross-filtering make Superset ideal for deep data exploration.
Metabase
Metabase makes self-service analytics a reality for everyone.
It connects directly to 20+ databases and warehouses, letting users run queries instantly, no ETL needed.
The Visual Query Builder allows non-technical users to create powerful queries without writing SQL, while dashboards and visualizations help teams explore and share insights with ease.
Metabase supports semantic models to define consistent data structures, offering 15+ visualization types, and features like embedding, white-labeling, and SDKs for in-app analytics.
It scales with you, from free open-source setups to enterprise-grade deployments.
Security options include SSO (Google, LDAP, SAML), sandboxing, caching, and SOC 2 compliance.
Redash
Redash focuses on speed, simplicity, and collaboration. Its browser-based SQL and NoSQL query editor supports autocomplete, schema browsing, and reusable snippets, ideal for fast workflows.
Redash lets users turn queries into dashboards with drag-and-drop visualizations, set up scheduled refreshes, and trigger alerts when data crosses thresholds.
It supports a wide range of data sources including APIs and NoSQL stores, and is built to be extensible through its data source API.
Sharing and collaboration are seamless, every query, chart, and dashboard is URL-shareable, and users can comment and collaborate in real time.
From analysts to business leaders, Redash helps teams make data-driven decisions faster, with fewer bottlenecks and more transparency.