Comparison
Flitch vs Power BI
Microsoft’s enterprise BI platform against an AI-first dashboard builder. An honest look at cost per seat, Copilot licensing, and who each one is really for.
Which should you choose?
Flitch generates a web application you can edit as code and publish on your own domain, with AI on every plan including the free one. Power BI builds reports on a fixed canvas by drag and drop, and its AI needs a Fabric capacity from $262.80 per month on top of seats. Power BI is the better choice if you are committed to Microsoft, need enterprise governance, or already have an analyst who knows it.
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Flitch vs Power BI at a glance
| Flitch | Power BI | |
|---|---|---|
| Entry price | Free tier, then $20/month flat (Pro) | Free account, then $14/user/month paid yearly (Pro) |
| Higher tier | $30/user/month (Team) | Premium Per User $24/user/month, then Fabric capacity |
| AI included | Yes, on every plan. The fee is the credit allowance: $20 buys $20 of AI | No. Copilot needs a Fabric capacity, F2 from $262.80/month, on top of seats |
| Cost for 5 people with AI | $20/month flat on Pro, or $150 on Team | 5 x $14 plus F2 at $262.80 = $332.80/month |
| Billing commitment | Monthly, no contract | Seat pricing quoted paid yearly |
| How the numbers are computed | Generated SQL, aggregated at the source against the semantic layer | In the imported semantic model, with DAX for anything non-trivial |
| Data duplication | None. Connects and queries the source | Import mode copies data into a semantic model you then refresh |
| Model size cap | No copy to size. Queries the source and caches results | 1 GB on Pro, 100 GB on Premium Per User, and capacity memory on Fabric |
| Does data volume drive the bill? | No. The plan is credits, not gigabytes | Yes. Bigger models need a bigger capacity, and each step doubles the cost |
| Refresh limit | Every minute on paid plans | 8 per day on Pro, 48 on Premium Per User |
| What you get out | A web app, generated as code you can edit | A report on a fixed canvas, built by drag and drop |
| Learning curve | Describe the dashboard in plain language | Report authoring plus DAX for anything non-trivial |
| Authoring | Browser, natural language, editable code | Power BI Desktop (Windows) plus the service |
| Microsoft integration | Connects to Azure SQL, OneDrive, SharePoint | Native and unmatched across Microsoft 365, Azure, Fabric |
| Public publishing | Custom domains, password protection, email-restricted sharing | Publish to web is fully public and often disabled by tenant policy |
| Governance | No SSO, SCIM or row-level security for viewers | Row-level security, sensitivity labels, full enterprise governance |
| Semantic layer | Yes, relationships and calculations, no code | Yes, semantic models, with DAX for anything non-trivial |
| Integrations | 61, including file upload, an AI API finder and input tables | Very large connector library |
| Scale | Aggregates in SQL at the source, so size is your database’s problem, not the plan’s | Enterprise-scale models, with capacity costs to match |
Which is actually cheaper?
It depends entirely on whether you want AI, and the answer flips. Without AI, Power BI is cheaper past two people: Pro is $14 per user per month paid yearly against $30 per user for Flitch Team, so ten people is $140 against $300. With AI, it reverses hard. Copilot is not included in Pro at $14, and it is not included in Premium Per User at $24 either. Microsoft requires a Fabric capacity, minimum F2, which is $262.80 per month pay-as-you-go on top of the seats. So five people with AI is five Pro seats plus an F2, around $332.80 per month, against $20 per month flat on Flitch Pro or $150 on Team. Flitch also includes AI on the free tier. If AI generation is the reason you are comparing these at all, the seat prices are the wrong number to look at.
What does Copilot actually require?
This is the detail almost every comparison gets wrong, including an earlier version of this page. Microsoft’s own documentation is explicit that a Power BI Pro or Premium Per User plan alone is not sufficient for Copilot, and that a Fabric Copilot capacity must sit on at least an F2 or P1 SKU. Pro and Premium Per User workspaces do not support Copilot directly; you have to stand up a paid Fabric capacity and assign the workspace to it. Trial capacities are not supported either. In practice that means AI in Power BI is a purchase decision at the company level rather than something an individual can switch on, and it starts at $262.80 per month before anyone has a seat. Flitch includes generation on every plan, and the plan fee is the AI budget: $20 buys 200 credits worth $20.
Why does querying at the source matter?
Because it decides three things at once: what it costs, what it is safe to hold, and whether the numbers agree. Flitch pushes aggregation down as SQL and reads back the result, so the warehouse does the heavy work it is already built for. A table with a hundred million rows is your database’s problem, not a reason to move up a plan. Power BI in import mode brings the rows to the tool instead, which is why volume drives the tier there. It also means there is no second copy to look after. An imported model is another place your data lives: something to secure, keep in step, and explain to whoever asks where the numbers came from. Skip the copy and the refresh window stops being a window in which the dashboard is quietly wrong. And because those queries are generated against the semantic layer rather than written per chart, the same definitions apply everywhere. Revenue is whatever the model says revenue is, in every dashboard, without depending on each author remembering the rule. That is the sort of consistency Power BI gets from a well-kept semantic model, and the difference is who has to keep it.
What does it cost once the data gets large?
This is the cost nobody quotes, because it is not on the seat price. Power BI in import mode holds a copy of your data in memory, so how much data you have decides which plan you need rather than how many people you have. The ladder goes: Pro at $14 per user caps a model at 1 GB. Premium Per User at $24 raises that to 100 GB. Copilot needs a Fabric capacity, and there the constraint becomes capacity memory, where an F4 allows about 3 GB for semantic models with a 1 GB ceiling per query. Fabric is billed per capacity at $0.18 per capacity unit per hour, so F2 is $262.80 a month, F4 is $525.60, F8 is $1,051.20 and F64 is $8,409.60. Every step up is a doubling, and you take it because of data volume, not headcount. Flitch never holds that copy. It queries the source and caches results, so a plan is priced in credits rather than gigabytes and a larger dataset does not move you up a tier. Input tables, the data Flitch does store, are 1 GB on Pro.
Do you end up with two copies of your data?
In import mode, which is how most Power BI reports are built, yes. Power BI copies your data into a semantic model that lives inside Power BI, and that model is then something you own, schedule, refresh and troubleshoot. It is a second copy of the data with its own limits: 1 GB per model on Pro and up to 8 refreshes per day, rising to 100 GB and 48 refreshes on Premium Per User. Those caps bite sooner than people expect, and the usual escape route is to move up a tier. DirectQuery avoids the copy but trades away performance and some model features. Flitch connects to the source and queries it, with no intermediate model to size, schedule or outgrow, and refresh down to every minute on paid plans.
What do you actually get out of each one?
Different things entirely, and this is underrated in most comparisons. Power BI produces a report on a fixed canvas, assembled by dragging visuals from a gallery and configuring them, with DAX behind anything non-trivial. It is capable and it is bounded: you get what the visual gallery offers, laid out the way the canvas allows. Flitch generates a web app as actual code, which you can edit in natural language or open and change directly. That means custom layouts, custom components and interactions that are not in anyone’s gallery, and it publishes as a real page on your own domain. If the thing you want exists in Power BI’s visual set, Power BI will get you there reliably. If it does not, Power BI’s answer is a custom visual project and Flitch’s answer is to describe it.
How long does it take to get a first dashboard?
Flitch, clearly, for someone who is not an analyst. You connect a source, describe what you want, and get a dashboard. Power BI is fast if you already know it and your data is in a Microsoft source, and slow if you do not: report authoring is its own skill, and anything beyond simple aggregation pulls you into DAX, which is genuinely hard and where most people stall. That said, Power BI’s depth is real. The ceiling is far higher, the talent pool is enormous, and if you already have an analyst the learning curve is a cost you have already paid.
Which is better for sharing dashboards outside your company?
Flitch, and this is one of the few places Power BI is genuinely awkward. Power BI is built to share inside a tenant, with external sharing controlled by policy. Its Publish to web feature makes a report fully public with no access control, which is why a great many companies disable it outright. Flitch publishes to a URL on your own custom domain, optionally behind a password or restricted to named email addresses, with Ask AI available to viewers. If the audience is clients, or the public, or anyone without a seat in your tenant, that is the difference.
Where is Power BI simply the right answer?
If your company runs on Microsoft 365, your data is in Azure or Dataverse, and you have or can hire someone who knows Power BI, it is very hard to argue against. The per-seat price is low, the connector library is vast, row-level security and sensitivity labels are mature, and it scales to models Flitch is not built for. Flitch is not attempting to be an enterprise BI platform, and choosing it for one would be a mistake.
Choose Power BI if
- Your company already runs on Microsoft 365, Azure or Fabric
- You have more than a handful of users and $14 per seat is the deciding number
- You need row-level security, sensitivity labels or enterprise governance
- You have an analyst, or want to hire from a very large talent pool
- Your datasets are large enough that scale matters
- You want a single tool covering everything from ad-hoc analysis to enterprise reporting
Choose Flitch if
- You want AI without buying a Fabric capacity at $262.80 per month
- You are outside the Microsoft ecosystem
- You have no analyst and no appetite for DAX
- You want a real web app you can edit as code, not a report on a fixed canvas
- You do not want a second copy of your data to size, schedule and refresh
- Your data is large enough that a Fabric capacity, from $262.80 a month and doubling per step, would be the real cost
- The dashboard is for clients or the public, not for people with a seat in your tenant
- You want to start free and without an annual commitment
Flitch vs Power BI FAQ
Is Flitch cheaper than Power BI?
Without AI, no, past about two people: Power BI Pro is $14 per user against $30 for Flitch Team, so ten users is $140 against $300. With AI, yes, by a wide margin. Copilot needs a Fabric capacity from $262.80 per month on top of seats, so five people with AI is around $332.80 against $20 flat on Flitch Pro.
Do I need Premium Per User to use Copilot in Power BI?
Premium Per User is not enough on its own. Microsoft documents that a Pro or Premium Per User plan alone is insufficient and that Copilot requires a Fabric capacity of at least F2 or P1, with the workspace assigned to it. Trial capacities do not qualify. F2 is $262.80 per month pay-as-you-go. Flitch includes generation on every plan, including free.
Does Power BI copy my data?
In import mode, which is the common setup, yes. Your data is copied into a semantic model inside Power BI that you then schedule and refresh, capped at 1 GB per model on Pro or 100 GB on Premium Per User, with 8 or 48 refreshes per day respectively. DirectQuery avoids the copy at a performance cost. Flitch queries the source with no intermediate model.
Does having more data make Power BI more expensive?
Yes, and this is the cost that seat pricing hides. Because import mode holds your data in memory, volume decides the tier: 1 GB per model on Pro, 100 GB on Premium Per User, then capacity memory on Fabric. Fabric bills $0.18 per capacity unit per hour, so F2 is $262.80 a month, F4 $525.60, F8 $1,051.20 and F64 $8,409.60. Flitch prices on credits, not gigabytes, so a larger dataset does not move you up a tier.
Do I need to learn DAX to use Flitch?
No. You describe what you want in plain language and Flitch generates the dashboard, which you can then refine in natural language or edit as code. There is no equivalent of DAX to learn.
Can Flitch replace Power BI in an enterprise?
Not today. Flitch has no SSO, no SCIM, no viewer-level row security and no sensitivity labels, and it is not built for enterprise-scale models. For a small team or an individual it is a real alternative; for a governed enterprise deployment it is not.
Can Power BI publish a dashboard to my own domain?
Not in the way Flitch does. Power BI shares inside your tenant, and its Publish to web option makes a report fully public with no access control, which many companies disable. Flitch publishes to your own custom domain with optional password or email-restricted access.