Looker vs Domo Pricing and Domo vs Looker Cost for a 50 to 500 Person Company

Looker vs Domo pricing is a comparison of two meters, not two price tags. Neither vendor publishes a dollar figure: Looker editions read "Call sales" on Google's pricing page and Domo's pricing page carries no dollar amounts at all (both read 8 October 2026). Looker charges an annual platform fee plus seats by type, so its bill grows with the people who build and explore. Domo gives every user a free seat and bills credits for each table refresh, dataflow run and stored row, so its bill grows with data activity. Companies with many readers and slow-moving data usually pay less on Domo; companies with a small analyst team and fast refreshes usually pay less on Looker.

If what your people actually need is answers from a SQL database rather than a new BI platform, a flat-priced tool like AgentSQL covers that for a fraction of either contract. More on that near the end.

Looker vs Domo pricing side by side

The last row comes from procurement data and pricing guides, not from Google or Domo. Use it to sanity-check a quote, not to budget.

How Looker pricing works

Looker is sold as a platform edition plus seats. Google's pricing page describes Standard as a product "for small organizations or teams with fewer than 50 users" that includes one production instance, 10 Standard Users, 2 Developer Users and up to 1,000 query-based API calls a month. Enterprise keeps the same 10 and 2 users but lifts query-based API calls to 100,000 and adds security features. Embed goes further for customer-facing analytics. All three are annual commitments, and none shows a price.

The seat types matter more than the edition. A Developer writes the LookML model that everything else depends on. A Standard User can explore and build. A Viewer reads dashboards, filters them and downloads data, but cannot explore or use SQL Runner. That boundary is where Looker budgets go wrong: every genuinely new question a Viewer has lands back on a Developer or Standard seat, so companies either buy more expensive seats or build a queue. Our Looker pricing page goes through each seat and edition in detail.

Looker also needs a warehouse underneath it. If you run BigQuery or Snowflake, their compute is a separate bill that rises as more people explore.

How Domo pricing works

Domo retired per-seat pricing. Its pricing model page says the credit-based consumption model "replaces our previous cost and usage models, including per-seat pricing," and the main pricing page promises unlimited users. What you buy is credits, spent on four things:

• Ingestion: 1 credit for each table created or updated, whether it holds a thousand rows or a hundred thousand.
• Transformation: 1 credit per execution of a dataflow, with some execution types, such as custom Python, costing more.
• Storage: 1 credit per million materialized rows a month if Domo hosts the data, half that for virtual storage, and nothing if the data stays in your own warehouse.
• AI and workflows: fractional credits per interaction.

Because ingestion is metered per refresh, refresh cadence is the biggest lever on a Domo bill. Fifty-five tables refreshed daily use about 1,650 credits a month; the same tables refreshed hourly use about 39,600; every 15 minutes, about 158,400. Same company, same people, a 96-fold difference from one schedule setting. Our Domo pricing page works through that model.

Domo vs Looker cost for three kinds of company

Since neither vendor prints a price, the useful question is which meter your company will spin. Three common shapes:

Before either call, write down three numbers: how many people will build, how many will only read, and how many tables need refreshing how often. Those three numbers are exactly what both sales teams price from, and having them stops you paying for a generous guess.

What the AI features cost on each

Google's Looker pricing page says Conversational Analytics customers "currently enjoy promotional access without quota limits or overage fees," and that Google will give at least 90 days notice before billing begins. When it does, each edition comes with an instance-wide token pool, and overage is priced at $3.00 per million input tokens and $20.00 per million output tokens. Domo meters AI through the same credits as everything else, at fractional credits per interaction. In both cases the plain-English feature is cheap to try today and hard to budget for next year.

Contract terms to negotiate with either vendor

Whichever you pick, the price you sign is less important than the terms around it. Ask Google for the renewal cap on a Looker commitment and whether Viewer seats can be converted to Standard mid-term. Ask Domo for the credit price on overage, whether unused credits roll over, and a usage report from your trial period, since the 30-day trial is the only honest way to measure your own credit burn. Then keep the renewal date, the cap and the overage rate somewhere your finance team will actually see them; most teams that run vendor reviews properly do this in their procurement software rather than a shared drive, because the renewal email always arrives at the worst time.

When neither contract is the right purchase

Both Looker and Domo are platforms: models, pipelines, dashboards, governance. If the real problem in your company is that managers wait days for answers to one-off questions, a six-figure platform is an expensive way to fix it. AgentSQL connects read-only to Postgres, MySQL, Snowflake or BigQuery, takes the question in plain English, writes and runs the SQL, and returns a chart, a table and a one-line answer with the SQL shown. Team is $59 a month billed yearly for 10 seats, with the AI cost included. Many companies keep their BI tool for standing dashboards and use us for the questions in between; conversational analytics covers how that split works.

If you are still choosing a platform, our Domo vs Tableau comparison, the Domo vs Power BI breakdown and Looker vs Tableau put the same two vendors against the other names on most shortlists.