Domo Pricing, Cost, and the Credit Model

Short answer: Domo does not publish a price anywhere. There are no tiers, no per-seat rate, and no dollar figure on domo.com. What Domo sells is a pool of credits that platform activity spends, and it documents the consumption rates openly: one credit per table created or updated, one to three credits per ETL output table, one credit per million materialized storage rows per month. What it never publishes is what a credit costs in dollars. Cost per credit drops as you commit to bigger pools and longer contracts, which means two companies running identical workloads can pay very different amounts and neither can check the other's number.

Every fact below was read off Domo's own pricing pages in July 2026. This category is full of third-party roundups quoting Domo figures from old per-seat contracts that no longer exist, so if you are building a budget, confirm against the source.

What Domo publishes and what it does not

How much does Domo cost?

The honest answer is that nobody outside a Domo sales call can tell you. Domo's pricing page presents exactly two options: start a 30-day free trial with no credit card, or contact sales for Custom Pricing. Its longer pricing guide is titled "How Much Does Domo Cost?" and opens by saying it will explore general spend ranges, then works through the credit model, the four cost drivers, and a scoping questionnaire without ever naming a dollar amount.

That is not evasiveness so much as a structural consequence of the model. Domo states that cost per credit decreases as you commit to larger credit pools or longer-term contracts. Once the unit price is negotiable by volume and term, there is no list price to publish. It does mean that if your procurement process requires a number before you will take a meeting, Domo cannot serve you, and you should look at the tools in our marketing reporting software pricing comparison, where sixteen vendors publish real rates.

What is Domo's credit-based pricing model?

Domo replaced per-seat licensing with consumption pricing. Your contract includes a pool of credits, and credits act as currency for activity on the platform. The pitch is straightforward and, to be fair, genuinely different from most BI vendors: you can give every single employee a login without paying another cent in licenses, because seats are free and cost is driven by work performed instead of people with access.

Here are the consumption rates Domo publishes.

Notice what is not on that list: dashboards, apps, and users. You are not charged for building more reports or inviting more colleagues. The meter runs on pipelines.

What actually drives your Domo bill

Domo names four cost drivers, and in practice one of them dominates.

Refresh frequency is the big one. Ingestion costs a credit per table update, so the same fifty tables cost fifty credits a day at daily refresh and roughly 4,800 credits a day at every 15 minutes. Teams routinely set aggressive refresh schedules during onboarding because it feels safer, then discover the bill reflects a cadence nobody actually reads. Match refresh rate to how often a human makes a decision from that number, which for most executive reporting is once a day.

ETL design is the second. Every dataflow output table costs one to three credits each time it runs. A pipeline built as eight chained transformations costs considerably more than the same logic consolidated into three, and the difference compounds on every single run.

Storage is optional. If you already have a warehouse, keep your data there and let Domo federate to it, and storage costs nothing. Domo-managed storage at one credit per million materialized rows monthly is reasonable, but it is a line item you can simply not have.

External access is priced separately. Internal seats are free, but each external end user account that needs its own instance runs 3.2877 credits per day, which is about 1,200 credits a year each. If you are planning to share dashboards with clients or partners at any scale, model that line specifically rather than assuming free seats apply.

Domo does give you the instrumentation to manage all this. The Credit Utilization interface and the DomoStats Credit Balance Reports show what has been spent and let you forecast forward. That still assumes somebody owns the job of watching consumption, the same way somebody has to watch which tables are actually refreshing and whether their volumes look right before a silent pipeline problem shows up as either a wrong number or an unexpected invoice. Consumption pricing turns pipeline hygiene into a direct financial control, which is a real change in how a data team has to work.

How to estimate your Domo cost before the sales call

Domo publishes the scoping questions its own team uses, which is genuinely useful because you can answer them yourself and walk in with numbers instead of being led to them. Work through these first:

• How many unique data sources will you connect, and how often does each one really need to refresh? Split them into critical (hourly or better) and everything else (daily or weekly).
• How much blending and cleaning will you do, how many output tables will your dataflows produce, and how often will they run?
• Where will the data live? If you have a warehouse and can manage it, storage credits drop out entirely.
• Do external companies, clients, partners, or subsidiaries need access, and how many separate organizations? Multiply each by 3.2877 credits per day.
• How many AI Chat interactions and automated workflow tasks per month, and will anyone do data science work in the platform?

Turn those into an estimated daily credit burn, multiply out to a year, and ask the sales team to quote you a credit pool against that number rather than the other way around. Also ask what the rate is at the next pool size up, because the volume discount is where the negotiation actually lives.

Domo pricing vs Power BI and Tableau

These are the three most common head-to-head comparisons, and the answer flips depending on one variable: how many people need to look at a dashboard.

Per-seat tools are cheap when a handful of analysts need access and punishing when the whole company does. Consumption tools invert that: unlimited readership costs nothing extra, but heavy pipelines cost real money. Estimate your viewer count and your refresh cadence before comparing vendors, because those two numbers decide this more than the vendors do.

The thing all three share is that none of them arrives knowing what your metrics mean. Somebody defines blended CAC, builds it, and repairs it when an ad platform renames a field. That maintenance burden is the same reason a free tool is not free, which our Looker Studio alternative page works through in detail.

Does the Progress Software acquisition change Domo's pricing?

Nothing has changed yet, and it would be unfair to suggest otherwise. On July 22, 2026, Progress Software announced an asset purchase agreement to acquire Domo's AI and Data Platform business for approximately $400 million in cash, funded from cash on hand and its existing $1.5 billion revolving credit facility. Progress expects to close within its fiscal year ending November 30, 2026, subject to regulatory clearance and customary conditions, and has said the deal brings more than 2,400 customers into its data platform business.

Existing contracts are contractual obligations and survive a change of ownership, and Progress is buying the platform to invest in it rather than retire it. The reasonable buyer question is narrower and specifically about timing: if you are signing a multi-year credit commitment this quarter, ask what happens to your credit rate and renewal terms after close, and get the answer in the contract rather than in an email. That is ordinary diligence, not a reason to walk away.

Is Domo worth it?

If you need one governed platform where finance, operations, sales, and marketing all work from the same modeled data, with apps, workflows, embedded analytics, and data science on top, then yes, and the free unlimited seats are a genuine advantage over per-seat BI. Domo is a serious product and the consumption model is defensible once you understand it.

If Domo is on your shortlist because marketing reporting is a mess, it is probably too much platform. The marketing question is narrow and consistent across companies: total spend across every channel, revenue actually collected in Stripe or Shopify, new customers acquired, and the blended ratios between them. Because those definitions barely vary, they can be productized instead of modeled from scratch. MixedMetrics computes blended ROAS, blended CAC, MER, LTV, and LTV:CAC across connected channels on the day you connect accounts, for a flat $79 a month with no credits to forecast and no scoping call.

The honest boundary is scope. We cover marketing and revenue, we are attribution-lite rather than multi-touch attribution or marketing mix modeling, and we do not offer a white-label client portal. If you need company-wide BI or embedded analytics for external customers, buy Domo. Our Domo alternative page lays out that comparison feature by feature, alongside verified pricing for seven other tools in the category.