Tableau to Power BI migration cost calculator.
How much does it cost to migrate Tableau to Power BI? Price a manual rebuild next to Antares conversion from your dashboard count, complexity mix and hourly rate. Estimates, not quotes: the formula is on the page, every default is editable, and the free Analyzer replaces the assumptions with measured counts.
Headed to Databricks AI/BI or another target? The arithmetic and the flat fee are the same on every route Antares converts, so the calculator works for yours too. See the routes →
The formula
How the calculation works.
Two totals and one subtraction. The manual side is labour: for each complexity band, the dashboards in it times the hours a hand rebuild takes times your blended rate. The Antares side is the flat conversion fee plus the review effort left after conversion, priced at the same rate, which is the arithmetic of the pricing page and the home page calculator. LLM usage is billed by your own provider and is shown beside the total rather than inside it.
| Line | Formula | On the defaults |
|---|---|---|
| Manual rebuild | sum over bands of dashboards × hours × rate |
100 dashboards at a weighted 80 h and $85€85/h: $680,000€680,000 |
| Converter fee | dashboards × $200€200 |
$20,000€20,000 |
| Review after conversion | manual hours × review share × rate |
8,000 h × 10% × $85€85: $68,000€68,000 |
| With Antares | fee + review |
$88,000€88,000 |
| Saving | manual − with Antares |
$592,000€592,000, or 87% of the manual figure |
| LLM usage, outside the total | dashboards × allowance |
$2,000€2,000 at $20€20 each, billed by your provider |
| Break‑even per dashboard | hours × rate × (1 − review share) > fee |
hours × rate above $222€222: about 2.6 h at $85€85/h |
The defaults are this site’s own: the 80‑hour rebuild and the $85€85 rate from the home page calculator, the band hours and the 40/40/20 mix as an illustrative split that averages to the same 80 hours, with the bands defined as on dashboard complexity analysis. What moves a dashboard up a band, and so raises the hours on both sides, is calculation logic such as level‑of‑detail expressions, blends and custom SQL, sets and chained actions, and dense bespoke layouts; the fee stays flat whichever band a dashboard lands in.
Sensitivity
How the result moves.
Dashboard count and hourly rate scale both columns, so they change the size of the answer without changing which column wins. Hours per dashboard behaves differently, because the fee stays flat while manual cost does not. The scenarios below hold the count at 100, put every dashboard in one band, and vary the other two inputs.
| Scenario, 100 dashboards | Manual | With Antares | Difference |
|---|---|---|---|
| 4 hours each at $85€85/h, a simple estate | $34,000€34,000 | $23,400€23,400 | $10,600€10,600, or 31% |
| 80 hours each at $85€85/h, the default | $680,000€680,000 | $88,000€88,000 | $592,000€592,000, or 87% |
| 160 hours each at $85€85/h, a complex estate | $1,360,000€1,360,000 | $156,000€156,000 | $1,204,000€1,204,000, or 89% |
| 4 hours each at $40€40/h, simple and cheap to staff | $16,000€16,000 | $21,600€21,600 | Antares costs $5,600€5,600 more |
The last row is the useful one. Where dashboards are genuinely trivial and internal effort is cheap, a per‑dashboard fee is a large share of the work it replaces, and the arithmetic stops favouring the tool: conversion pays when nine tenths of a dashboard’s manual cost exceeds the fee, about 2.6 hours of manual work at $85€85 an hour and about 5.6 at $40€40. Estates usually land on both sides of that line at once, which is why the calculator prices each band separately; the wider comparison is on automated versus manual migration.
Scope
What the estimate leaves out.
This is the conversion line of a migration budget, not the whole budget. The licensing delta between Tableau and Power BI is a saving only once the Tableau contract actually ends, and the optional overlap line above covers just the months both meters run. Training scales with people, not dashboards. Data‑platform rework, the gateways, refresh schedules and semantic models that extracts were standing in for, is engineering rather than conversion and the largest of the missing lines when it lands. A redesign is new development that cannot be validated against the original, so it is budgeted as its own project, and no productivity benefit is invented here because none is defensible without your own before and after. Those lines are priced on migration cost estimation; the programme as a whole is laid out in the Tableau to Power BI migration guide.
Real numbers
Replace the assumptions with counts.
The three inputs that matter, the dashboard count, the complexity mix and the hours per band, are measurable rather than arguable. The free Antares Analyzer connects read‑only, reads metadata and structure only, and returns the inventory, a complexity rating per workbook and the orphaned or low‑usage content worth leaving behind. It rates each workbook on a seven‑step scale from Low to Extreme: read Low and Low‑Medium as Simple, Medium and Medium‑High as Moderate, and High, Very High and Extreme as Complex, and the mix above stops being a placeholder.
Read‑only analysis. No environment changes. No commitment.
FAQ
Calculator questions.
Is this Tableau to Power BI migration cost calculator free to use?
Yes, and it asks for nothing: no email, no sign‑up, no report to download. The estimate updates as you type, and the formula behind it is printed on the page so you can check every line by hand. If you want measured inputs instead of assumptions, the free Antares Analyzer reads your Tableau estate and returns the dashboard count and complexity distribution this calculator needs.
Why does the calculator ask for a complexity mix instead of one average?
Because hours per dashboard is the input that moves the total most, and a single average hides where those hours come from. A page of standard charts on one governed source and a dashboard carrying nested LOD logic over blended sources are not the same unit of work. Pricing each band separately also shows which part of the estate carries the cost, which is what decides wave order and what to retire rather than convert.
Does the estimate include LLM usage and Power BI licences?
Neither is inside the Antares total, and the calculator says so. The total is the flat conversion fee plus the review effort your team keeps, the same arithmetic as the pricing page and the home page calculator. Conversion also consumes LLM capacity that your own provider bills, typically under $20€20 per dashboard; the calculator shows that as a separate, editable line under the total so you can add it to your budget. Power BI, Fabric or Tableau subscriptions are outside the model, except for the optional parallel‑running line where you enter your own monthly Tableau spend and the months of overlap on each side.
When is a manual rebuild cheaper than Antares?
When a dashboard is trivial enough that the flat fee approaches the labour it replaces. Per dashboard, conversion pays while the hours removed are worth more than the fee; on the default review share that is about 2.6 hours of manual work at $85€85 an hour and about 5.6 hours at $40€40. The calculator prints this break‑even for your own rate, says so plainly when your inputs land on the manual side of it, and shows which complexity bands still save when the estate as a whole does not.
Where do the default hours and rates come from?
From this site, not from an industry survey. The 80‑hour weighted average and the $85€85 blended rate are the defaults of the ROI calculator on the Antares home page; the 40, 80 and 160 hours per band and the 40/40/20 mix are an illustrative split that averages to the same 80 hours. The one‑tenth review share is Antares' own claim of 90 percent less manual work, which is a statement about the tool, not a benchmark. Treat all of them as placeholders to overwrite with your own numbers.
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