From first CSV to company dashboard — the open source data stack is world-class. These four cover storing, querying, exploring, and presenting data.
An in-process analytics database: point it at CSV or Parquet files and run SQL instantly — no server, no setup. It has become the default way analysts crunch local data.
Who it’s for: Students learning SQL and analysts tired of Excel choking on large files.
Database, authentication, file storage, and APIs — the open source alternative to Firebase, built on PostgreSQL. Start free, keep your data portable.
Who it’s for: Builders shipping an app or a prototype without a backend team.
Point-and-click business intelligence: connect a database, build charts and dashboards, share them with the team. The fastest path from data to decisions.
Who it’s for: Business teams that want answers without waiting for the data department.
A powerful data exploration and visualization platform used by large companies worldwide. More technical than Metabase, and more capable at scale.
Who it’s for: Data-curious analysts stepping up to serious dashboarding.
Source Playbook