Apache Superset vs Looker
On the evidence we track, Apache Superset leads this comparison with a composite score of 63/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for bi software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Apache Superset
LeaderAn enterprise-ready web application that helps teams connect to various SQL databases and data engines to build visualizations, create dashboards, and query data through a web-based SQL editor. Includes features like a built-in semantic layer, query optimization, caching, and row-level security.
Looker
A business intelligence and analytics platform offering self-service dashboards, data exploration through LookML models, and embedded analytics capabilities with support for cloud and self-hosted deployment.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Looker
Pricing not documented yet.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- BigQuery
Apache Superset
Leader- Presto
- Trino
- Athena
- Slack
- PostgreSQL
- Aurora
- Redshift
- Webhooks
Looker
- Snowflake
- GitHub
- GitLab
- Bitbucket
- Dataplex
- Cloud Storage
- GitHub Actions
- GitLab CI
- Bitbucket Pipelines
Apache Superset or Looker: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.