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Data mining

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Product page

  • Free tier: Single user, single database connection
  • Pros: Connects to your database (BigQuery, PostgreSQL, others coming soon). Analysis is performed in a notebook interface, either by writing SQL or using drag-and-drop. Notebooks are rich documents containing analysis, media, and interactive elements.
  • Limitations: Cannot share notebooks publically in free tier, and can only connect to one database.

Metabase

Product page

  • Free tier: Completely free to use (on premises)
  • Pros: Allows you to run queries without knowing SQL, build dashboards, set up nightly email reports and ask questions from Slack. Works with your application database or a dedicated data warehouse, and supports MySQL, PostgreSQL, AWS Redshift, Google BigQuery and many others.
  • Limitations: Require external hosting but may fit in AWS free tier.

Noteable

Product page

  • Free tier: Completely free to use, including free compute, forever
  • Pros: An online data notebook platform that allows simultaneous use of Python and SQL for use cases ranging form BI to AI. Works with MySQL, PostgreSQL, AWS Redshift, Google BigQuery, Airflow, Dagster, GitHub, GitLab and many others to build dashboards, newsletter style data analysis, data pipelines, ML pipelines etc.
  • Limitations: Larger kernels are availabe for paid customers only.