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Supaboard
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Supaboard vs Microsoft Power BI

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

Supaboard compared with Microsoft Power BI 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
Price$99/seat/moOr $83 billed annually. Usage credits are in the seat$14 / $24Pro and Premium Per User, per user per month paid yearly, plus a free individual tiersource, checked
AI nativeYesThe agent is the product, not a panel added to a dashboard toolNoCopilot needs paid Fabric capacity (F2 or higher) or Premium; free SKUs are not supportedsource, checked
AI data analystsYesAgents tuned on your business rules and metric definitions, with the SQL shown beside every answerPartialCopilot answers inside a semantic model somebody has already published
Deep reasoningYesDeep Dive answers why a number moved and what to do next, not only what it isNoNot documented as multi-step reasoning over a question
Data apps, AI madeYesLive data apps on your own design system, from a promptPartialPower Apps, built by a maker rather than generated from a prompt
Dashboards, AI madeYesA live dashboard from a single promptPartialCopilot drafts report pages inside a published model
AI workflowsYesOne prompt builds the whole chain: detect, analyse, export and route the resultPartialPower Automate, wired by hand
AlertsYesThreshold and anomaly alerts described in plain English, which analyse the change rather than only announce itPartialOnly on dashboard tiles pinned from gauge, KPI and card visuals, and visible to nobody but the person who set itsource, checked
Automated reportingYesScheduled reports written by an agent and delivered as PDF, PowerPoint or ExcelYesEmail subscriptions to reports and dashboards; subscribing anyone else needs a paid Pro or PPU licencesource, checked
Cross-source data queryYesOne question spanning every connected sourceYesOnce sources are combined into one model in Power Query
Python scriptsYesSQL and Python in one editor, over every connected sourceYesIn Power Query and Python visuals; needs Python installed locally and a gateway to refreshsource, checked
Slack, Teams, Claude, ChatGPTYesSlack, Teams, Claude, ChatGPT and CursorPartialTeams only
MCP supportYesIn both directions: we expose one, and we read yoursYesMicrosoft's MCP server targets semantic modelling from VS Code rather than asking questions
Query benchYesSQL and Python with schema-aware autocomplete, and AI edits proposed as a diff you approvePartialDAX and Power Query, not a general SQL editor
Context and memory managementYesRulesets, knowledge, dropped files and MCP sources such as NotionPartialThe semantic model, published from Desktop
Connectors700+Connectable, 124 of them without talking to usHundredsListed in Power Query. Microsoft publishes no single totalsource, checked
Answer accuracy97.8%On LegendEHR's tuned agent in production, with a confidence score on every answerNoneNo accuracy figure published
Why choose Supaboard—Copilot is not on the $14 Pro seat — it wants Premium Per User at $24 or a Fabric capacity, on top of a semantic model someone builds in Desktop first. Supaboard's usage credits are in the seat, and there is no model between a question and its answer.

Why choose Supaboard over Microsoft Power BI

Copilot is not on the $14 Pro seat — it wants Premium Per User at $24 or a Fabric capacity, on top of a semantic model someone builds in Desktop first. Supaboard's usage credits are in the seat, and there is no model between a question and its answer.

Read the full guide: Power BI vs Tableau: Which is Better in 2026?

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Supaboard vs Microsoft Power BI, in our own words

Power BI is the default, and the $14 Pro seat is why. The question worth asking is what that seat costs after the seat.

Where the cost actually lands

Power BI's price is per viewer. Its cost is per report. Someone has to model the data, build the semantic layer, publish the workspace, and then rebuild the report every time the question changes — and the person who does that is not on the $14 seat. In most companies they are the analyst everyone queues behind, which is why the median Power BI deployment has a backlog beside it and a shadow estate of exported spreadsheets underneath it.

Supaboard is priced the other way round: fewer seats, more expensive per seat, and no build step between a question and its answer. At $83 per user per month billed annually, that is roughly six Power BI seats, and it pays for itself as soon as what you are short of is analyst time rather than licence budget.

We are the better answer when the constraint is the queue in front of the data team, not the line item.

What is actually different

  • You ask instead of building. A question in plain English returns the chart, the numbers, and the SQL that produced them. There is no model to define first — Supaboard reads your schema and tunes an agent against it, and setting up a first analysis takes about five minutes rather than a modelling project.
  • Every answer shows its query. This is the part that decides whether people trust the number. For any data-backed answer the SQL is on screen next to the chart: you can read it, correct it, and save the correction as a rule the agent keeps.
  • Sources outside the Microsoft estate. Power BI is strongest where the data is already in Fabric or a Microsoft warehouse. Supaboard connects to 700+ apps, databases and warehouses, 123 of them without talking to us.

What to test if you trial both

Test them on the three questions your analyst got asked last month that never became a report — the ones no report exists for. Time how long each takes to a defensible answer, and count how many people had to be involved. Then take one answer from each and ask whoever owns the number to check it: in Supaboard they can read the SQL on the page, and that step is usually where the difference shows up.

Frequently asked questions

How does Supaboard's pricing compare with Power BI?

Power BI Pro is $14 per user per month paid yearly; Supaboard starts at $83 per user per month billed annually, with usage credits in the seat and Copilot-style questions included rather than sold as an add-on. The two are priced for different things: Power BI for viewer seats, Supaboard for the analyst work it takes off the queue.

Can Supaboard read data that already lives in Power BI?

It reads the same sources Power BI reads, not Power BI itself. Supaboard connects directly to 700+ apps, databases and warehouses, 123 of which you can set up yourself without talking to us.

What does Supaboard produce as output?

Charts, dashboards, and generated PDF, PowerPoint and Excel files — each backed by the SQL that produced the numbers in it, so a figure can be traced from the slide to the query.

Do we still need an analyst if we use Supaboard?

Usually yes, and for better work. What Supaboard removes is the queue in front of ad-hoc questions, so analyst time goes to modelling, data quality, and the numbers that have to stand up to an auditor.

Can we run Supaboard in our own environment, like Power BI Report Server?

Yes, on the Enterprise plan. Supaboard ships as single-tenant container images that run in your VPC or data centre with no data egress, against your own model provider keys.

Your data has the answers

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Supaboard starts at $83 per user per month billed annually, with a 14-day free trial and no credit card. Every plan is per seat with usage credits included, so the fifth question in a session costs nothing. SOC 2 Type II covers every plan; HIPAA BAA: on Enterprise, as an add-on on Business.