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.
DuckDB
DuckDB is an in-process SQL OLAP database management system. Simple, feature-rich, fast & open source.
Used by data teams in Big Tech, finance and startups Use DuckDB's friendly but powerful SQL dialect to query any data source (Parquet, JSON, S3, data lakes, etc.) We made sure that you can install DuckDB in just a few seconds, and built it on familiar technologies so you can start using it immediately. We support a wide range of industry standard technologies (e.g., Parquet, SQL, S3 API) and combine them into a seamless user experience. We built DuckDB on a fast columnar storage engine. DuckDB can spill to disk to support workloads far larger than the available system memory. We release DuckDB, its core extensions and the DuckLake format under MIT, a permissive open-source license. We distribute DuckDB for all popular operating systems and ship idiomatic client APIs for major programming languages. We created a powerful extension mechanism that enables adding new features. In fact, we implemented many core DuckDB features as extensions. DuckDB has native clients and integrations with the data ecosystem Start using DuckDB in your environment
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