Escape Legacy BI. Embrace Open Analytics.
Power BI locks you into Microsoft's ecosystem with complex capacity pricing and DAX. Preset is an open analytics platform with 40+ database connections, simple per-user pricing, and no vendor lock-in.
Break free from Microsoft lock-in
No capacity-based pricing surprises
Simple per-user pricing. No Premium capacity costs that spike with data volume. Free tier includes 5 users forever.
Connect to any database directly
Native connections to 40+ databases including Snowflake, BigQuery, Redshift, and Databricks—no gateway required.
Cloud-agnostic platform
Run on AWS, GCP, or Azure. Your choice. Not tied to Microsoft's ecosystem or Azure-first features.
Open-source foundation
Built on Apache Superset with 70k+ GitHub stars. No vendor lock-in. Export your dashboards anytime.
SQL-first analytics
Powerful SQL Lab for data exploration. Create virtual datasets with SQL. Jinja templating for dynamic queries.
Simpler embedded analytics
Embed dashboards in your apps with our SDK. Row-level security for multi-tenant apps. No complex licensing.
Preset vs Power BI: Key Differences
Pricing Model
Power BI: $10/user/month Pro + $4,995+/month Premium capacity. Preset: Free tier (5 users) + $20/user/month Professional. No capacity fees ever.
Database Connectivity
Power BI: Best with Microsoft stack, gateway needed for many sources. Preset: Direct connection to 40+ databases, SSH tunneling, no gateway required.
Vendor Independence
Power BI: Microsoft ecosystem lock-in, Azure-optimized. Preset: Open-source core, cloud-agnostic, export everything, no lock-in.
Preset vs Power BI Feature Comparison
| Feature | Preset | Power BI |
|---|---|---|
| 100% browser-based (no desktop app) | ✓ | ✗Requires Desktop app |
| Open source foundation | ✓Apache Superset | ✗ |
| Standard SQL (no DAX required) | ✓ | ✗DAX learning curve |
| 40+ native database connections | ✓ | ✓Gateway often required |
| No on-premises gateway needed | ✓SSH tunneling | ✗ |
| Cloud agnostic (AWS, GCP, Azure) | ✓ | ✗Azure-optimized |
| No dataset size limits | ✓Query warehouse directly | ✗1GB Pro / 400GB Premium |
| Real-time OLAP database support | ✓Druid, ClickHouse, Pinot | ✗Limited streaming |
| Jinja templating for dynamic SQL | ✓ | ✗ |
| Full CSS and Theming customization | ✓ | ✗Limited theming |
| REST API & CLI access | ✓ | Partial |
| Scheduled alerts to Slack/email | ✓SQL query-based | ✓ |
| Separate workspaces/environments | ✓Isolated instances | ✓ |
| Semantic layer support | ✓dbt, Cube, OSI | ✓ |
| Private cloud in your account (fully managed) | ✓MPC/PCS | ✗Self-managed on-prem only |
| Public roadmap you can influence | ✓GitHub | ✗ |
Frequently Asked Questions
Yes. Preset is used by companies processing billions of rows. We connect to enterprise data warehouses like Snowflake, BigQuery, and Databricks that handle the heavy lifting. Our caching layer optimizes performance.
Preset is SOC 2 Type II certified with enterprise security features: SSO/SAML, SCIM, role-based access control, row-level security, audit logging, and options for private cloud deployment.
Preset offers dedicated support from deep Apache Superset experts. Our CEO created the project, and Preset engineers are the leading contributors to the GitHub repo. Enterprise plans include Slack-based support and dedicated success managers.
Yes. While there's no automatic migration tool, Preset's team provides migration guidance and best practices. Many organizations run Preset alongside Power BI initially, gradually transitioning workloads.
Try Preset free—no credit card required
See why teams are choosing open-source BI over Power BI. Start with our free tier and upgrade when you're ready.
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Questions?Talk to our team about migrating from Power BI
Ready to make the switch?
Our team can help you evaluate Preset for your Power BI workloads and plan a smooth migration.
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<small>Power BI is a trademark of Microsoft Corporation. Apache Superset is a trademark of The Apache Software Foundation. Preset is not affiliated with or endorsed by Microsoft or The Apache Software Foundation. Feature comparisons are based on publicly available information and may not reflect the most recent product updates.</small>