Looker vs Preset
On the evidence we track, Preset leads this comparison with a composite score of 74/100. 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.
Preset
LeaderA managed analytics platform offering cloud, on-premises, and embedded deployment options for creating interactive dashboards and charts. Built on Apache Superset with features including SQL editing, semantic layers, row-level security, and AI-driven chatbot capabilities for natural language queries.
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.
Preset
LeaderFrom $20/user/month (billed annually). Free tier available. Enterprise custom pricing.
- StarterFree
- Unlimited dashboards & charts
- 40+ visualization types
- No-code chart builder
- Collaborative SQL editor
- Semantic layer
- +1 more
- Professional$20/user/month (billed annually) or $25/user/month (billed monthly). 14-day free trial included
- Unlimited users
- 3 workspaces
- Role-based access controls (RBAC)
- Scheduled email reports & alerts
- Slack integration for alerts
- +3 more
- EnterpriseContact sales
- Additional workspaces
- dbt integration
- Managed Private Cloud deployment
- Database connection via SSH tunnels
- Single sign-on (SSO) + SCIM integration
- +4 more
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.
Looker
- Snowflake
- GitHub
- GitLab
- Bitbucket
- BigQuery
- Dataplex
- Cloud Storage
- GitHub Actions
- GitLab CI
- Bitbucket Pipelines
Preset
Leader- Slack
- dbt
- Claude
- Cursor
- MCP-compatible AI tools
- Auth0
- Azure
- Okta
- AWS
- GCP
- Azure (cloud deployment regions)
Looker or Preset: 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.