Apache Superset vs Databricks — Comparison

Apache Superset

Community website for Apache Superset™, a data visualization and data exploration platform

For analysts and business users. Learn to explore data, build charts, create dashboards, and connect to databases. For teams installing and operating Superset. Covers installation, configuration, security, and database drivers. For contributors and engineers building on Superset. Covers the REST API, extensions, and contributing workflows. Join the Superset community. Find resources on Slack, GitHub, the mailing list, and upcoming meetups. Superset makes it easy to explore your data, using either our simple no-code viz builder or state-of-the-art SQL IDE. Superset can connect to any SQL-based databases including modern cloud-native databases and engines at petabyte scale. Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. Superset ships with 40+ pre-installed visualization types. Our plug-in architecture makes it easy to build custom visualizations. Create physical and virtual datasets to scale chart creation with unified metric definitions. Explore data and find insights from interactive dashboards. Drag and drop to create robust charts and tables. Write custom SQL queries, browse database metadata, use Jinja templating, and more. Create physical and virtual datasets to scale chart creation with unified metric definitions. Explore data and find insights from interactive dashboards.

Databricks

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governa

With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products. With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of the lakehouse architecture and open source projects Apache Spark™, Delta Lake, MLflow and Unity Catalog. Today, more than 15,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Headquartered in San Francisco, with offices around the world, Databricks is on a mission to simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems. Databricks has 1,200+ global cloud, ISV and consulting partners that provide data, analytics and AI solutions and services to our joint customers to help scale initiatives with Databricks.

Apache Superset

Databricks

Apache Superset

Databricks

Apache Superset

Databricks