Production Dashboards Without Notebook Overhead
Hex is great for data science notebooks, but production dashboards need a purpose-built platform. Preset is an open analytics platform for enterprise dashboards and embedded analytics — at nearly half the cost.

An open analytics platform for production dashboards
45% lower cost
Preset Professional is $20/user/month. Hex Professional is $36/editor, Team is $75/editor. Free tier includes 5 users forever.
Built for dashboards
Purpose-built for production BI and embedded analytics. No notebook complexity when you just need dashboards.
Open-source foundation
Built on Apache Superset with 70k+ GitHub stars. No vendor lock-in. Export your dashboards anytime.
SQL-first simplicity
Powerful SQL Lab for exploration. No Python required for most analytics use cases. Jinja templating for dynamic queries.
Enterprise embedded analytics
SDK for React, Vue, Angular. Guest tokens, row-level security, white-labeling. Built for multi-tenant SaaS.
40+ database connections
Native connections to Snowflake, BigQuery, Redshift, Databricks, plus real-time OLAP databases like Druid and ClickHouse.
Preset vs Hex: Key Differences

Primary Focus
Hex: Collaborative notebooks for data science (Python + SQL). Preset: Production dashboards, self-serve BI, and embedded analytics.

Pricing
Hex: $36/editor Professional, $75/editor Team, enterprise custom. Preset: Free tier (5 users), $20/user Professional. No editor vs viewer distinction.

Open Source
Hex: Proprietary platform. Preset: Built on Apache Superset, open-source core, no vendor lock-in, export everything.
Preset vs Hex Feature Comparison
| Feature | Preset | Hex |
|---|---|---|
| Open source foundation | ✓Apache Superset | ✗Proprietary |
| Free tier available | ✓5 users forever | ✓5 projects limit |
| Price per user | $20/user | $36-75/editor |
| Production dashboard focus | ✓ | PartialNotebook-first |
| SQL-first (no Python required) | ✓ | ✗Python + SQL |
| 40+ native database connections | ✓ | ✓ |
| Real-time OLAP support | ✓Druid, ClickHouse, Pinot | ✗ |
| Embedded analytics SDK | ✓React, Vue, Angular | ✓Notebook embedding |
| Row-level security | ✓ | ✓ |
| Jinja templating | ✓ | ✗ |
| Full CSS customization | ✓ | ✗Limited theming |
| Semantic layer support | ✓dbt, Cube, OSI | Partial |
| Private cloud deployment | ✓MPC/PCS | ✓Enterprise only |
| Public roadmap | ✓GitHub | ✗ |
Frequently Asked Questions
Choose Preset when your primary need is production dashboards, self-serve BI for business users, or embedded analytics in your product. Preset excels at scalable dashboard delivery and is more cost-effective for dashboard-focused use cases.
Hex excels at collaborative data science workflows where teams need to combine Python and SQL in notebooks, with real-time collaboration like Google Docs. If your workflow is heavily Python-based exploration, Hex may be more appropriate.
Yes, many data teams do. Use Hex for data science exploration and ad-hoc Python analysis, then publish production dashboards in Preset for broader consumption. This gives you the best of both worlds.
Preset is SOC 2 Type II certified with SSO/SAML, SCIM, RBAC, row-level security, audit logging, and private cloud options (MPC/PCS). Both platforms offer enterprise-grade security.
Try Preset free—no credit card required
See why teams choose Preset for production dashboards. Start with our free tier and upgrade when you're ready.
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Questions?Talk to our team about your BI needs
Not sure which tool is right?
Our team can help you evaluate whether Preset, Hex, or both fit your data team's needs.
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<small>Hex is a trademark of Hex Technologies, Inc. Apache Superset is a trademark of The Apache Software Foundation. Preset is not affiliated with or endorsed by Hex Technologies or The Apache Software Foundation. Feature comparisons are based on publicly available information and may not reflect the most recent product updates.</small>
















