Looker vs Sisense
On the evidence we track, Sisense leads this comparison with a composite score of 66/100. 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.
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.
Sisense
LeaderA business intelligence tool that enables teams to connect databases and create visual reports and dashboards from SQL queries and large datasets for sharing and collaboration.
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.
- Snowflake
Looker
- GitHub
- GitLab
- Bitbucket
- BigQuery
- Dataplex
- Cloud Storage
- GitHub Actions
- GitLab CI
- Bitbucket Pipelines
Sisense
Leader- Any warehouse connectors (generic)
- Any database connectors (generic)
- Cloud app connectors (generic)
- MCP (Model Context Protocol)
- REST APIs
- Compose SDK
- External AI tools and workflows
- Custom plugins
- Jasper Reports
- Redshift
- DECK.GL
Looker or Sisense: 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.