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Supaboard vs Metabase

Supaboard vs Metabase on price, AI analysts, deep reasoning, generated dashboards, MCP, connectors and accuracy — every figure sourced to Metabase's own pages.

Which to choose

Choose Supaboard when one question needs data from more than one database, or you want a dashboard generated from a prompt.

Choose Metabase when you want open-source BI you can self-host at no licence cost, with Metabot included on every plan.

Why choose Supaboard over Metabase

Metabase meters its own AI service past the first million tokens, or asks you to bring a provider key. Supaboard's credits are in the seat across 12 databases and warehouses and 22 apps, and the SQL behind every answer is shown, so a wrong number can be traced instead of just distrusted.

Open a row for the reason behind each verdict and its source.

Supaboard compared with Metabase across seventeen capabilities, from price and AI analysts to alerts, MCP support and answer accuracy, each figure linked to the vendor page it was read from
Free, then $19–$249/seat/moOr $16–$208 billed annually. Each paid seat includes a weekly AI allowance. When it runs out, new AI requests pause until the reset, or you can add credits. Extra storage is billed separately.Free / $100 / $575Open source free; Starter per month for 5 users, Pro per month for 10source, checked
YesThe agent is the product, not a panel added to a dashboard toolNoBut Metabot ships in every plan including open source, with no AI tier or per-seat AI fee
YesAgents tuned on your business rules and metric definitions, with the SQL shown beside every answerPartialMetabot answers questions, writes SQL and explains charts; it sees only what the user can seesource, checked
YesDeep Dive answers why a number moved and what to do next, not only what it isNoNot documented
YesLive data apps on your own design system, from a promptNo
YesA live dashboard from a single promptNoMetabot helps build and explain questions rather than generating a dashboardsource, checked
YesOne prompt builds the whole chain: detect, analyse, export and route the resultPartialRules and schedules only; Metabot answers questions, it does not run workflows
YesThreshold and anomaly alerts described in plain English, which analyse the change rather than only announce itYesOn a saved question, delivered by email, Slack or webhook; webhooks are admin-onlysource, checked
YesScheduled reports written by an agent and delivered as PDF, PowerPoint or ExcelYesDashboard subscriptions by email or Slack, including to people with no Metabase accountsource, checked
YesOne question spanning every connected sourceNoA question can only use tables from the same database as its starting datasource, checked
YesSQL and Python in one editor, over every connected sourceNo
YesSlack, Teams, Claude, ChatGPT and CursorPartialSlack, where Metabot answers by mention; Claude and ChatGPT through the MCP serversource, checked
YesIn both directions: we expose one, and we read yoursYesAn official MCP server, scoped to the connecting user's permissionssource, checked
YesSQL and Python with schema-aware autocomplete, and AI edits proposed as a diff you approveYesA native SQL editor alongside the visual query builder
YesRulesets, knowledge, dropped files and apps such as Notion, read through MCPPartialModel metadata and, on Pro, a system prompt for Metabot
12 databases + 22 appsDatabases and warehouses queried live when a question is asked; apps read live through their MCP servers18Databases with official drivers. Databases only, not SaaS appssource, checked
97.8%Accuracy on the BI BenchNoneNo accuracy figure published

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Supaboard vs Metabase, in our own words

Metabase is a question-builder over a warehouse you have already organised. The comparison worth having is not about the price of the seat; it is about what happens on the day the question gets harder than the dashboard.

Where the two products diverge

Metabase is a very good question-builder over a warehouse you have already organised. Its model assumes the joins are known, the tables are clean, and somebody has curated what a "customer" is. Given that, its query builder is faster and friendlier than most, and its SQL editor is genuinely pleasant.

Supaboard assumes the opposite starting condition: data scattered across operational systems, no warehouse, and nobody who owns the semantics. The agent reads the schemas, carries business rules you give it in plain language, and holds them as memory across conversations — so "discard vendors with failed compliance" is something you say once, not a filter you rebuild each time.

Scattered sources and questions that keep changing are what Supaboard is built for, and they are the normal condition in most companies well before a warehouse project finishes.

On the AI features

Both products answer questions in natural language. Two things underneath that label decide whether you can hold a number to account:

  • Metabase meters its own AI service at $3.75 per million tokens beyond the first million, though most of their customers bring their own provider key instead. Each paid seat includes a weekly AI allowance. When it runs out, new AI requests pause until the reset, or you can add credits. Extra storage is billed separately. Enterprise can also bring its own model keys — Anthropic, OpenAI, Vertex, or any OpenAI-compatible endpoint.
  • Supaboard shows the query behind every data-backed answer and lets you correct it in place. Being able to see why a number is wrong is what makes a natural-language tool usable by people who will be held to that number.

What to test if you trial both

Point both at a question whose data lives in two systems that have never been combined — the product database and the billing database, say. That is the case Metabase asks you to solve upstream, in a warehouse, before it can help, and it is the case Supaboard is built to take head-on.

The second thing worth timing is the second question. What matters is whether the follow-up needs someone to go and build something, or just another sentence.

Self-hosting is available on the Enterprise plan: single-tenant containers in your own VPC. Supaboard receives no platform data; inference follows the model endpoint you configure.

Frequently asked questions

What does Supaboard cost, and can we try it?

Supaboard has a free plan, and paid plans run $19 to $249 per editor a month ($16 to $208 billed annually). Each paid seat includes a weekly AI allowance. When it runs out, new AI requests pause until the reset, or you can add credits. Extra storage is billed separately. You can start on the Free plan without a credit card.

We already run Metabase. What would Supaboard add?

Answers to questions nobody has built a dashboard for, over sources that never reached the warehouse. Each answer comes with its SQL, so you can check a number instead of taking it on trust.

Both answer questions with AI. What is different?

Two things. Metabase meters its own AI service at $3.75 per million tokens past the first million, though most of its customers bring a provider key instead. Each paid seat includes a weekly AI allowance. When it runs out, new AI requests pause until the reset, or you can add credits. Extra storage is billed separately. A self-hosted Enterprise deployment can run on your own model keys. Supaboard also shows the SQL behind every data-backed answer, so you can trace and correct a wrong number.

Can Supaboard be self-hosted like Metabase?

Yes, on the Enterprise plan: single-tenant container images in your own VPC or data centre. Supaboard receives no platform data; inference follows the model endpoint you configure.

Do I need SQL for either?

You don't need it to ask a question in either product. Supaboard shows the SQL without requiring it, so someone who reads SQL can check an answer nobody had to write by hand.

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