Domo Pricing: Domo Cost, Domo Cost Per User and the Credit Model
Domo publishes no price and no longer charges per user. Here is what the credit model actually meters, and the one setting that moves the invoice by a factor of 96.
Verified 8 September 2026 from domo.com/pricing · nothing estimated · Last updated September 2026
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Direct answer
Domo does not publish a price. Its pricing page offers a 30-day free trial and a "Custom Pricing" tier you reach by booking a demo, and the page's markup carries zero dollar amounts. More importantly, Domo has stopped charging per user altogether: its own wording is that the credit model "replaces our previous cost and usage models, including per-seat pricing", and that "user seats are free for everyone in your organization". So the question "what is Domo cost per user" has no answer, by design. What you buy instead is a pool of credits, spent one per table created or updated, one per dataflow execution, one per million Domo-stored rows a month, and fractions of one per AI interaction. Because the first two meters count executions rather than volume, the biggest lever on a Domo bill is how often your pipeline runs, not how many people log in. All figures read on 8 September 2026.
›_ domo cost per user, the honest answer
Domo retired per-seat pricing, so the per-user question has no answer.
This is a capability fact rather than a rate, which means it stays true when the rate card moves.
Search "domo cost per user" and you will get dollar figures. They are quoting a model Domo no longer sells. On its own pricing model page Domo writes that its credit-based consumption model "replaces our previous cost and usage models, including per-seat pricing". On the pricing factors page it is blunter: "User seats are free for everyone in your organization." The pricing page headline says "Unlimited users. No per-user charges".
That is a real difference, not marketing gloss, and it changes which questions you should be asking a Domo rep. You are not negotiating a seat count. You cannot save money by restricting who gets a login, and you cannot blow the budget by rolling the tool out to the warehouse floor. Domo also publishes the inverse list, which is rarer and more useful: the things it says do not affect your bill are "Number of cards, dashboards, or apps" and "Size of your team", and it states that failed processes never trigger charges.
What Domo's own pages say
Zero dollar amounts on the pricing page
We counted rather than assumed. Across all five Domo pricing URLs, the markup carries exactly five dollar figures in total, and the main /pricing page carries none at all. Not one of the five is a credit price, a plan price or a seat price. If a comparison site quotes you a Domo list price, it did not come from Domo.
What this costs you in practice
You cannot budget Domo without a sales call
You can work out your credit consumption from the meters below with reasonable accuracy before you ever speak to anyone. What you cannot work out is what a credit costs, because Domo publishes no rate for one. Go into the call with a consumption estimate and ask for the per-credit price, not a total.
›_ domo pricing model, the five meters
What a Domo credit is actually spent on.
Quoted from domo.com/pricing/model and /pricing/factors, read on 8 September 2026. The "what moves it" column is ours.
| Cost factor | What it bills | The detail most guides drop | Driven by | What moves it |
|---|---|---|---|---|
| Data ingestion | 1 credit per table created or updated | Whether you are bringing in 1,000 rows or 100,000 rows, you consume one credit for each individual table that is built or refreshed. | Number of tables x refresh frequency | Refresh cadence, by far |
| ETL and ELT transformation | 1 credit per execution of a dataflow | Certain execution types, such as custom Python scripts, consume additional credits per execution. | Number of dataflows x how often they run | Schedule, and avoiding Python where SQL will do |
| Storage, Domo managed | 1 credit per 1 million materialized rows per month | Virtual storage is billed at one credit per two million rows per month, so it is half the rate of materialized. | Row count, not gigabytes | Materialize less, or keep the warehouse yourself |
| Storage, your own cloud | No charge | If you already have a cloud data warehouse such as Snowflake, BigQuery, or Databricks and Domo does not manage it, there is no charge for data. | Nothing. It is free. | Where the warehouse lives |
| AI and workflows | Fractional credits per interaction | AI actions are calculated by tier, so a chat question and an ML inference are not priced the same. | Interaction count and tier | Which AI tier the action lands in |
Note the unit on ingestion. Domo does not bill by the gigabyte: "Whether you're bringing in 1,000 rows or 100,000 rows, you consume one credit for each individual table that is built or refreshed as a result of that job." A wide table and a narrow one cost the same.
›_ what actually drives the invoice
The refresh dropdown is a 96x lever. Headcount is a 1x lever.
Arithmetic on Domo's published meters, for a mid-market setup with 40 source tables and 15 dataflows.
This is the part of Domo pricing that nobody costs out, and it falls straight out of the meters. Ingestion bills one credit per table created or updated. Transformation bills one credit per dataflow execution. Both count events. So take a fairly ordinary deployment, 40 source tables and 15 dataflows, and change nothing about it except how often it runs.
| Refresh schedule | Executions per month | Credits per month, 55 objects | Relative cost |
|---|---|---|---|
| Once a day | 30 per object | 1,650 | baseline |
| Every 6 hours | 120 per object | 6,600 | 4x baseline |
| Every hour | 720 per object | 39,600 | 24x baseline |
| Every 15 minutes | 2,880 per object | 158,400 | 96x baseline |
Same data. Same dashboards. Same people. The company did not grow, hire, or load a single extra row. A schedule set to hourly instead of daily consumes 24 times the credits, and quarter-hourly consumes 96 times. That is the single largest number on this page, and it is invisible in every write-up that answers Domo pricing with a per-user figure.
The practical advice follows directly. Before you negotiate, audit how many of your datasets genuinely need intraday freshness. In most finance and operations reporting the honest answer is very few: a daily sales roll-up read at 9am does not benefit from having been rebuilt 24 times overnight. Domo gives you the tooling to check this after the fact through its Credit Utilization interface and DomoStats Credit Balance Reports, but the cheapest time to get it right is before signature, when the consumption estimate is what sets your contract size.
One nuance worth carrying into the call. Domo notes that "certain execution types, like custom Python scripts, consume additional credits per execution", so a pipeline built on Python transforms costs more than the same pipeline expressed in SQL or in the drag-and-drop ETL. If you have a heavy Python step running hourly, that is the first thing to price and the first thing to consider rewriting.
›_ the free half of the bill
Storage costs nothing if the warehouse is not Domo's.
Two identical deployments, two different invoices, decided by where the data already sits.
Domo's third cost factor is the one with the largest structural difference between two otherwise identical customers. In Domo's own words, if you already have a cloud data warehouse "such as Snowflake, BigQuery, or Databricks" and "Domo doesn't manage it, there's no charge for data". If Domo manages the storage instead, the rate is one credit per one million materialized storage rows per month, and one credit per two million virtual storage rows per month.
Put numbers on it. A company with 500 million materialized rows in Domo-managed storage burns 500 credits a month before a single pipeline runs. Against the daily-refresh baseline above, that is roughly a third added to the bill. The same 500 million rows sitting in a Snowflake account Domo does not manage cost zero credits. Nothing else about the deployment differs.
Two things follow. First, if you already run a warehouse, keeping it is worth real money and you should resist the pull to materialize everything into Domo. Second, the materialized versus virtual distinction is a 2:1 lever inside Domo itself, so datasets that do not need to be physically materialized are worth leaving virtual. Neither of these is a discount you negotiate. They are architecture choices that change the meter reading, and they are available to you before you sign anything.
›_ domo pricing vs per-seat bi, honestly
What 200 logins cost at list, everywhere else in this market.
Annual list cost of giving 200 people access. Competitor rates re-verified early September 2026.
| Tool | Per user per month | 200 logins per year | The catch |
|---|---|---|---|
| Domo | No charge | $0 for the logins | Seats are free. The bill sits on pipeline activity instead, at a credit price Domo does not publish. |
| Qlik Cloud Standard | No charge above Starter | $9,900 flat | Priced on 25 GB of data, not people, but the capacity ceiling is real. |
| Power BI Pro | $14.00 | $33,600 | The cheapest published BI seat on the market, billed yearly. |
| Tableau Standard | $15.00 | $36,000 | An edition entry price marked "starting at". Tableau publishes no role price at all. |
| Power BI Premium Per User | $24.00 | $57,600 | Needed for several features a Pro seat cannot open. |
| ThoughtSpot Pro | $50.00 | $120,000 | The first ThoughtSpot tier with an AI analyst in it. |
Read that table carefully, because the obvious conclusion is the wrong one. It does not show that Domo is cheaper. It shows that Domo has moved the bill off a variable you can count (people) and onto one you have to forecast (activity), and then declined to publish the rate for that variable. A company with 200 viewers and a quiet nightly pipeline is very likely better off on Domo. A company with 12 analysts and a busy quarter-hourly pipeline is very likely not, and that is the shape of buyer most likely to be surprised.
The comparison also flatters Domo on one axis it should not. Power BI's $14.00 is the cheapest published BI seat anywhere and Tableau's $15.00 is an edition entry price marked "starting at", so neither $33,600 nor $36,000 is really the whole story for those tools either. If you want that unpicked properly, the numbers are on Power BI pricing and Tableau pricing, and side by side in the BI tools comparison.
›_ how to price domo before the sales call
Four numbers to bring to the demo.
You can estimate your own consumption without Domo's help. You cannot estimate the credit price, so ask for it directly.
1. Your execution count
Count the tables you need to land and the dataflows you need to run, then multiply each by its realistic monthly schedule. That total is your ingestion and transformation credit consumption, and it is the number the contract is really sized on.
2. Your row count, if Domo stores it
Divide your materialized rows by one million and your virtual rows by two million. If your warehouse stays yours, write zero here and make sure the proposal reflects it rather than quietly assuming Domo-managed storage.
3. Your AI intent
AI actions bill fractional credits by tier, so a chat question and an ML inference are priced differently. Ask which tier the specific features you plan to use fall into, because "fractional" is doing a lot of work in a sentence with no rate attached.
4. The per-credit price
This is the only number you cannot get anywhere else, so make it the ask. A total contract value with no per-credit rate behind it is impossible to compare to next year's renewal, and impossible to model against growth.
Use the 30-day trial for what it is uniquely good at. Domo describes it as the full platform with unlimited users and no credit card required, so it is a genuine measurement window rather than a demo. Connect your real sources, run your real schedules for a fortnight, and read the Credit Utilization interface. You will walk into the pricing conversation with your own consumption number instead of an estimate, which is a materially stronger position than any published rate card would have given you.
›_ a smaller question, a smaller bill
If what you need is answers, not a platform.
Everything above assumes you are buying Domo, and plenty of companies should. Domo is a full data platform: ingestion, ETL, warehousing, apps, embedded analytics, workflow automation and its own AI layer, with a consumption model that genuinely does let you give the whole company a login. If you need that, this page exists to help you buy it accurately rather than to talk you out of it.
There is a different and much more common situation, though, and it is the one worth naming. A lot of teams evaluating Domo do not have a pipeline problem. They have a queue problem: the data already sits in a warehouse that works, and business people simply cannot get answers out of it without asking an analyst and waiting two days. Buying an ingestion-metered platform to solve a question-asking problem means paying for four meters when you only needed one thing.
That is the case Agentsql is built for. It connects read-only to the Postgres, MySQL, Snowflake or BigQuery database you already run, turns a plain-English question into SQL, executes it, and shows you the query alongside the answer so an analyst can check the logic. Nothing is ingested, nothing is copied, and there is no pipeline to schedule, so there is no execution meter to manage. The price is one published monthly figure on our pricing page, which after eight sections about a vendor that publishes none feels worth saying plainly.
If you are still comparing platforms rather than costing one, Domo vs Tableau takes the two apart feature by feature, and conversational analytics pricing normalizes what every platform in this market charges for asking a question in English, which is the meter that varies most wildly between vendors.
›_ frequently asked
Domo pricing questions, answered.
How much does Domo cost?
Domo publishes no price. Its pricing page sells a 30-day free trial and a "Custom Pricing" tier reached by booking a demo, and the markup on that page carries zero dollar amounts. Across all five of Domo's pricing URLs there are exactly five dollar figures in total and none of them is a credit price. You get a number from a sales conversation, not from the website. Checked on 8 September 2026.
What is Domo cost per user?
There is no Domo cost per user, and that is deliberate rather than undisclosed. Domo states that its credit model "replaces our previous cost and usage models, including per-seat pricing", and that "user seats are free for everyone in your organization". You can give every employee a login without changing the invoice. Any article answering this question with a dollar figure is quoting a model Domo retired.
How does Domo credit pricing work?
Your contract comes with a pool of credits that act as currency for activity. Ingesting data costs one credit per table created or updated. Running a dataflow costs one credit per execution. Domo-managed storage costs one credit per million materialized rows per month. AI actions cost fractional credits by tier. Cards, dashboards, apps and headcount cost nothing at all.
What drives a Domo bill up?
Refresh frequency, more than anything else. Because ingestion and transformation are metered per execution rather than per gigabyte, running 55 tables and dataflows once a day consumes about 1,650 credits a month, while running the same 55 objects hourly consumes 39,600. Nothing about the company changed except a schedule, and the consumption went up 24 times.
Does Domo charge for storage?
Only if Domo manages it. If your data already lives in a warehouse Domo does not manage, such as Snowflake, BigQuery or Databricks, Domo states there is no charge for that data. If Domo stores it, the rate is one credit per million materialized rows per month, or one credit per two million virtual rows. The same deployment therefore costs different amounts depending purely on where the warehouse sits.
Is Domo cheaper than Power BI?
For read-only access at scale, almost certainly yes, because 200 Domo logins cost nothing while 200 Power BI Pro seats cost $33,600 a year at list. For a small team with a busy pipeline it can easily go the other way, because Domo bills the pipeline and Power BI does not. The honest answer depends on your ratio of viewers to scheduled jobs, and you cannot finish the calculation without a credit price from Domo sales.
Does Domo have a free trial?
Yes. Domo offers a 30-day free trial with no credit card required, and describes it as the full platform with unlimited users, onboarding support, self-service education and one training session. It is a genuine evaluation window rather than a feature-limited tier, which makes it the practical way to measure your own credit consumption before you negotiate.
What does not affect Domo pricing?
Domo publishes this explicitly, which is unusual and useful. The number of cards, dashboards or apps you build does not change the bill, and neither does the size of your team. Domo also states that failed processes do not trigger charges. So building more visualizations and inviting more people are both genuinely free actions in this model.
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