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Metabase vs Preset
Metabase and Preset are both Dashboards, BI & Data Visualisation tools. Here is how they compare on pricing, free plans, AI integrations and platforms, and when each is the better fit.
Side by side
| Feature | Metabase | Preset |
|---|---|---|
| Category | Dashboards, BI & Data Visualisation | Dashboards, BI & Data Visualisation |
| Pricing | Free or from $100/mo | Free or from $20/user/mo |
| Free option | Yes | Yes |
| AI integrations | MCP server, Claude, ChatGPT, Codex | MCP server, Claude, ChatGPT |
| Links | Metabase listingVisit website (opens in a new tab) | Preset listingVisit website (opens in a new tab) |
Which to choose
Choose Metabase if
- want the option to run a completely free, self-hosted open-source instance via Docker
- need a semantic layer in Data Studio to define canonical metrics, reusable models, and glossaries
- plan to embed interactive analytics into SaaS products using React SDK components
- require both row-level and column-level security permissions
Choose Preset if
- want a managed platform built on Apache Superset without maintaining underlying infrastructure
- prefer a lower entry price for paid cloud plans, starting from $20 per user per month
- need over 40 visualisation types and a drag-and-drop chart builder
- want a free hosted plan for a small team of up to five users
Verdict
Metabase suits organisations that want deployment flexibility and a built-in semantic layer. Teams can self-host the open-source version for free or pay from $100 per month for a managed cloud service. It works well for developers embedding analytics via React SDKs and business users relying on the Data Studio semantic layer. The main trade-off is that self-hosting requires internal infrastructure maintenance, while advanced governance requires higher-tier plans.
Preset suits teams that want a hosted Apache Superset environment without managing infrastructure. It offers a free plan for up to five users and paid plans from $20 per user per month. Analysts get over 40 chart types, dataset-centric exploration, and an in-product chatbot. However, embedding dashboards requires additional viewer licences, and customisations may demand familiarity with SQL or Apache Superset architecture.
FAQ
- How does pricing compare between Metabase and Preset?
Both tools use a per-seat pricing model and offer free options. Metabase offers a free self-hosted open-source version, with paid plans starting from $100 per month. Preset provides a free hosted plan for up to five users, with paid plans starting from $20 per user per month.
- Can non-technical marketers use Metabase and Preset without knowing SQL?
Yes, both platforms cater to non-technical users alongside technical analysts. Metabase provides a point-and-click visual query builder and Metabot AI for natural language querying. Preset offers a drag-and-drop interface with over 40 visualisation types and the Preset Chatbot for natural language insights.
- How do Metabase and Preset connect to external AI assistants?
Both platforms support the Model Context Protocol (MCP) to connect database context and governed datasets to external AI tools. Metabase offers an MCP server, a Claude skill, and plugins for ChatGPT and OpenAI Codex. Preset provides an MCP server along with connectors for Claude, ChatGPT, and Cursor.
- Which tool is better for embedded analytics?
Both tools support embedding interactive dashboards into internal tools or customer-facing applications. Metabase specifically provides interactive React SDK components and secure iframes. With Preset, you will need to purchase additional viewer licences beyond standard user plans to use embedded capabilities.