Metabase and Hex target overlapping but distinct segments of the analytics market. Metabase is the faster path to company-wide dashboards and embedded analytics, with a proven open-source foundation trusted by over 90,000 companies and nearly 47,000 GitHub stars. Hex is the more powerful platform for data teams doing exploratory analysis in SQL and Python, with AI agents that accelerate the entire workflow from question to published data app. The choice depends on whether your primary need is broad self-service dashboards and embedded analytics or deep collaborative analysis with AI-powered notebooks.
| Feature | Metabase | Hex |
|---|---|---|
| Best For | Self-service BI dashboards and embedded analytics | Collaborative data notebooks and AI-driven analytics |
| Pricing Model | Starter $100/mo, Pro $575/mo, Enterprise $20 | Price starts at $36/month, with $75/month for higher usage, and $2.93 per hour for CPU usage. |
| Starting Price | $100/mo (Starter cloud) | $36/mo per seat |
| Open Source | Yes, full open-source edition available | No, proprietary SaaS platform |
| Primary Interface | Visual query builder and dashboard editor | Notebook with SQL, Python, and AI cells |
| AI Capabilities | Metabot AI for single-shot SQL generation | Agentic notebooks and conversational self-serve with AI agents |
| Metric | Metabase | Hex |
|---|---|---|
| GitHub stars | 47.2k | — |
| TrustRadius rating | 8.4/10 (66 reviews) | — |
| PyPI weekly downloads | 143 | — |
| Docker Hub pulls | 254.5M | — |
| Search interest | 3 | 2 |
| Product Hunt votes | 290 | 312 |
As of 2026-05-04 — updated weekly.
Metabase

Hex

| Feature | Metabase | Hex |
|---|---|---|
| Data Querying & Analysis | ||
| No-Code Query Builder | Visual query builder with drag-and-drop, templates, and model caching | Spreadsheet-style calculations and data browsing for no-code workflows |
| SQL Support | Full SQL editor with variables, snippets, and native query support | SQL cells within notebooks with inline execution and result visualization |
| Python Support | Not available natively; limited to SQL and visual queries | Native Python cells with full library support for data science workflows |
| AI & Automation | ||
| AI-Powered Analysis | Metabot AI for natural language to SQL generation (add-on) | Built-in AI agent that writes SQL, Python, creates charts, and traces reasoning steps |
| Conversational Analytics | Metabot chat for database questions with single-shot SQL responses | Full conversational self-serve with multi-turn dialogue, semantic model awareness, and endorsed data sources |
| Dashboards & Apps | ||
| Dashboard Builder | Full dashboard editor with filters, cross-filters, drill-through, and scheduled delivery | Interactive data apps built from notebooks with dropdowns, filters, and published app views |
| Embedded Analytics | Production-grade embedding with iframes, React SDK, white-labeling, and multi-tenant data segregation | Not a primary use case; focused on internal team collaboration and published apps |
| Scheduled Reports | Email and Slack delivery with custom filters, PDF export, and alert triggers | Scheduled notebook runs with configurable compute profiles and notification support |
| Collaboration & Governance | ||
| Team Collaboration | Collections, verified items, official badges, and usage analytics tracking | Real-time collaborative notebooks with commenting, sharing, version history, and app publishing |
| Access Controls | Row-level, column-level, and database-managed permissions with SSO (SAML, LDAP, JWT) | Workspace-level permissions with role-based access and conversation monitoring via Context Studio |
| Deployment & Integration | ||
| Deployment Options | Self-hosted (Docker, JAR), Metabase Cloud, or air-gapped enterprise deployment | Cloud-only SaaS platform with scalable compute profiles up to 128 GB RAM |
| Data Source Connectors | 20+ native connectors including PostgreSQL, MySQL, Snowflake, BigQuery, and Redshift | Connects to major warehouses and databases with native integrations for Snowflake, BigQuery, Databricks, and more |
| Open Source | Fully open-source core with 46,900+ GitHub stars; Clojure codebase with active community | Proprietary closed-source platform; no self-hosted option available |
No-Code Query Builder
SQL Support
Python Support
AI-Powered Analysis
Conversational Analytics
Dashboard Builder
Embedded Analytics
Scheduled Reports
Team Collaboration
Access Controls
Deployment Options
Data Source Connectors
Open Source
Metabase and Hex target overlapping but distinct segments of the analytics market. Metabase is the faster path to company-wide dashboards and embedded analytics, with a proven open-source foundation trusted by over 90,000 companies and nearly 47,000 GitHub stars. Hex is the more powerful platform for data teams doing exploratory analysis in SQL and Python, with AI agents that accelerate the entire workflow from question to published data app. The choice depends on whether your primary need is broad self-service dashboards and embedded analytics or deep collaborative analysis with AI-powered notebooks.
This verdict is based on general use cases. Your specific requirements, existing tech stack, and team expertise should guide your final decision.
Metabase is a dashboard-first BI tool designed for self-service analytics and embedded analytics. It gives non-technical users a visual query builder to explore data without writing code, and developers can embed dashboards directly into SaaS products. Hex is a notebook-first analytics platform built for data teams that work in SQL and Python, with AI agents that assist in analysis and conversational self-serve for business users. Metabase excels at putting polished dashboards in front of business users, while Hex excels at exploratory analysis and publishing interactive data apps.
They serve different primary workflows. Metabase is best when your goal is company-wide self-service dashboards, embedded customer-facing analytics, and lightweight data exploration without code. Hex is best when data analysts and scientists need collaborative notebooks with SQL, Python, and AI assistance to perform deep analysis and then publish results as interactive apps. Some organizations use both: Metabase for broad internal and embedded dashboards, and Hex for the data team's analytical workbench.
Metabase has the edge for traditional self-service BI. Its visual query builder lets business users build queries and explore data without any code, and its dashboard drill-through menus are configured out of the box. Hex has invested heavily in conversational self-serve, where business users can ask questions in natural language and get AI-generated answers backed by endorsed semantic models. The right choice depends on whether your users prefer clicking through dashboards or asking questions conversationally.
Metabase offers a fully functional open-source edition that you can self-host at no software cost using Docker or a JAR file. The cloud-hosted Starter plan costs $100/mo, the Pro plan is $575/mo with self-hosted or cloud deployment, and the Enterprise tier starts at $20/user/mo with priority support. The open-source version covers core querying, dashboards, and visualizations, while paid tiers add features like Metabot AI, Data Studio transformations, and advanced permissions.
Hex uses a per-seat plus usage-based pricing model starting at $36/month per seat, with a higher-usage tier at $75/month per seat. Compute is billed separately at $2.93/hour for CPU usage beyond the free tiers (extra small, small, and medium profiles are free). Metabase's open-source edition has zero software cost for self-hosted deployments. For cloud hosting, Metabase starts at $100/mo for the entire Starter instance, making it significantly cheaper for teams that primarily need dashboards rather than notebook-based analytics.