Open source BI and data visualization platform with a no-code chart builder, SQL editor, and semantic layer. Self-host only; Apache offers no managed cloud.
Apache Superset is an open source alternative to Tableau, Looker, and Power BI. Open source BI and data visualization platform with a no-code chart builder, SQL editor, and semantic layer. Self-host only; Apache offers no managed cloud. Apache-2.0 licensed, 73.8k GitHub stars, self-host with Docker, and last released 2026-05-13.
Should you switch?
Teams that want an enterprise-ready BI platform to replace proprietary tools like Tableau or Looker, with a no-code chart builder, a web-based SQL editor, and a lightweight semantic layer, and that can self-host and operate it.
You need a first-party managed cloud: Apache operates no hosted Superset service, so every deployment is self-hosted and self-operated via the quickstart or production deployment docs.
Built as a cloud-native, scale-first architecture, so it is RAM and CPU heavy: the maintainers recommend Kubernetes for production, and building the Docker image on macOS can exit with code 137 unless you increase Docker's memory allocation.
In the product
Community proof
"We've built a Kubernetes Operator for Apache Superset at Stackable: https://github.com/stackabletech/superset-operator/ It's part of our Open Source Data Platform and it's one of the few open source BI tools out there and there are not a lot of alternatives in this space. We generally like it."
"Regarding scaling… one thing that drives me bonkers about Apache Superset is that the maintainers are absolutely adamant that it must be deployed with kubernetes because it's meant to scale. The project works just fine with a simple and slim docker/compose deployment, which is easier for small teams to manage. The lead maintainers refuse to document this and have unnecessarily sprinkled the docs with warnings."
Maintenance health
Can you do it today?
docker compose upGitHub
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