Domo
Domo prepares governed data for AI agents, then layers BI dashboards, workflows, and embedded analytics on top of it.
Pick Domo when AI agents and embedded analytics need to run on governed data and unlimited internal users matter more than a cheap per-seat chart tool. The credit model rewards high-seat, high-usage organizations and punishes anyone who hates tracking consumption. Get clarity on the Progress Software ownership and roadmap before you sign anything multi-year.
Verified 2d ago · liveness 86/100 · cite: rightaichoice.com/tools/domo
- Enterprises that need AI agents answering from governed, trusted data
- Teams embedding AI Chat and analytics into customer-facing apps
- Organizations pulling from 1,000+ sources that want ETL and BI in one contract
- Regulated industries needing HIPAA-compliant environments, AWS private link, UMCD, and SSO
- Small teams that only need a handful of dashboards
- Startups shopping for the cheapest analytics tool
- Organizations that require on-premise deployment
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Skip Domo if you only need dashboards, want flat predictable pricing with no credit consumption to track, or need on-premise deployment.
Credits are consumed by machine activity — storing data, updating tables, running workflows, and ML inference in the pipeline — so a heavily scheduled pipeline costs more than a lightly used one at the same user count.
Domo's published entry point is a 30-day free trial at $0 with full platform access and unlimited users; ongoing cost is Custom Pricing on a credit-based consumption model, quoted after a demo. That fits established enterprises with real data volume, not solo analysts. If you want a published per-seat number, Power BI and Tableau will quote you one; Domo trades that predictability for unlimited users and bundling ETL, BI, agents, and embedding into one contract.
In short
Domo — Domo prepares governed data for AI agents, then layers BI dashboards, workflows, and embedded analytics on top of it. Best for Enterprises that need AI agents answering from governed, trusted data, Teams embedding AI Chat and analytics into customer-facing apps, Organizations pulling from 1,000+ sources that want ETL and BI in one contract. Free to use.
What's new in Domo
Checked 7 days agoAcross the latest 1 update: 1 news mention.
What people actually say about Domo — is it worth it?
We scanned public community sources for Domo on Oct 9, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 3 of the posts we fetched could be positively tied to Domo. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Domo? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI Agent Store with pre-built HR Benefits, Competitive Research, Retail Associate, Insurance Claims, Retail Shopping,
- App Catalyst no-code builder for custom AI agents
- AI Chat embedded into dashboards, content, and customer-facing applications
- AI-assisted workflows for reporting, alerts, approvals, and forecasting
- Governed Agentic AI with UMCD, SSO, encryption, and observability
- Drag-and-drop ETL for cleansing, organizing, and structuring data
- 1,000+ connectors across cloud, on-prem, file, and JSON sources
- Cloud Amplifier queries data in your existing cloud warehouse
- Sub-second queries on interactive charts and dashboards
- Low-code app studio and pro-code app development
- Embedded analytics delivered into customer-facing products
- Data science and ML tooling with ML inference in the data pipeline
- Self-service reporting with scheduled reports and automated alerts
- Browser-based access plus a Domo Mobile app
- HIPAA-compliant environment with AWS private link
About Domo
Domo is a cloud data platform for enterprises that want AI agents and dashboards built on data the business already trusts. It connects to 1,000+ sources, cleans and organizes that data with drag-and-drop ETL, and then serves it out through AI agents, BI dashboards, embedded analytics, and automated workflows — all in a browser, with no desktop install. The AI layer is productized, not slideware. The AI Agent Store ships pre-built agents for HR Benefits, Competitive Research, Retail Associate, Insurance Claims, Retail Shopping, and Customer Support; App Catalyst lets non-developers assemble custom agents; AI Chat drops into dashboards and customer-facing content so end users can ask questions where they already work; and Governed Agentic AI wraps all of it in UMCD, SSO, encryption, and observability. Cloud Amplifier queries data in your existing warehouse instead of forcing a copy. The commercial model is credit-based. Credits are consumed by storing data, updating tables, running workflows, and ML inference in the pipeline. A 30-day free trial includes the full platform, unlimited users, onboarding support, self-service education, and one training session, with no credit card required; beyond that, pricing is quoted per deployment with volume discounts, support packages, AWS private link, and HIPAA-compliant environments. Unlimited users is the structural difference from seat-licensed BI. Ownership is the thing to verify before a multi-year commitment: Progress Software has completed its acquisition of Domo's AI and Data Platform business, and Domo has wound down its long-running Domo on Data blog series.
Behind the Verdict
Most AI analytics pitches fall apart at the data layer. Domo's answer is unglamorous but correct: connect the sources, prepare the data, govern it, then let agents and dashboards sit on top. That ordering is why the AI Agent Store agents for claims, benefits, and support tickets are credible rather than demos. Who should pick this. Enterprises with hundreds or thousands of dashboard viewers. Teams embedding AI Chat and analytics into a customer-facing product. Regulated buyers who need UMCD, SSO, encryption, and a HIPAA-compliant environment with AWS private link. Anyone already committed to Snowflake, Databricks, BigQuery, or Azure who wants Cloud Amplifier to query in place rather than duplicate the warehouse. Who should pass. A ten-person startup that needs four charts. Anyone who wants a flat annual invoice and no credit accounting — the consumption model is the price of admission, and storage, table refreshes, workflows, and ML inference all draw down credits. And anyone who needs on-premise deployment: this is a browser-based cloud platform. The closest alternative depends on what you're replacing. Against Tableau or Power BI, Domo's argument is unlimited users plus built-in data prep and AI agents in one contract. Against Snowflake plus a separate BI layer, the argument is fewer moving parts. Against Microsoft Fabric, it's governance and embedded delivery rather than ecosystem lock-in. In practice, budget a real onboarding cycle. The 30-day trial includes onboarding support and one training session for a reason — connector sprawl and credit mapping are the two places new accounts stall. Ask your account team to model credits against actual refresh frequency before you commit. The ownership question deserves a direct conversation. Progress Software now owns
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Real-world workflow fit
Concrete scenarios for the personas Domo actually fits — and what changes day-one when you adopt it.
Use the 30-day free trial to connect SAP, Salesforce, and an on-prem SQL source, build a first dashboard in Analyzer, and stand up one App Catalyst agent on governed data.
Outcome: You reach a working governed data foundation and a usable agent inside the trial window, then size credit consumption against your real workflow schedule before quoting Custom Pricing.
Publish dashboards via Domo Everywhere, embed AI Chat so your customers can ask questions in-app, and point Cloud Amplifier at the Snowflake warehouse you already pay for.
Outcome: Customers get conversational analytics without you building a separate query layer, and unlimited users means you do not renegotiate licensing every time a customer adds seats.
Centralize claims and benefits data with drag-and-drop ETL, apply UMCD and SSO governance, and deploy the Insurance Claims AI Agent to extract and analyze claims without manual entry.
Outcome: You get a documented governance posture — encryption, observability, HIPAA-compliant environment, AWS private link — with the claims agent running on data whose lineage you can trace.
Use Cases
- Build a Competitive Research Agent that returns a SWOT analysis in minutes
- Let employees find HR benefits answers through a pre-built HR Benefits Agent
- Read, extract, and analyze insurance claims data with no manual entry
- Prioritize support tickets and draft accurate responses with a Customer Support Agent
- Embed AI Chat and dashboards into a customer-facing application
- Automate financial reporting with scheduled reports and alerts
- Query Snowflake or BigQuery in place with Cloud Amplifier instead of copying data
- Verify purchase orders automatically and automate pricing governance with continuous audit
Models Under the Hood
as of 2026-10-16
Limitations
- Credit-based consumption pricing means costs scale with usage — storage, table updates, workflow runs, and ML inference in the pipeline — even though users are unlimited.
- The entry point is a 30-day free trial with onboarding support, self-service education, and one training session; 30 days is a short window for a platform this broad.
- Custom Pricing is quoted after a demo, so you cannot compute your bill from the website.
- Progress Software has completed its acquisition of Domo's AI and Data Platform business, introducing ownership and roadmap uncertainty for multi-year commitments.
- Domo also ended its Domo on Data blog series in September 2026.
as of 2026-10-09
Verification history
We have re-verified Domo 21 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 21 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Domo tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
30-day Free Trial
$0
Ideal for
Teams evaluating Domo against Tableau, Power BI, or a warehouse-native BI stack who want full platform access before quoting a contract.
What this tier adds
Starting tier: $0 for 30 days with no credit card, full platform access, unlimited users, onboarding support, self-service education, and one training session.
Custom Pricing
Custom
Ideal for
Enterprises with real data volume across many sources, especially regulated buyers in healthcare, financial services, manufacturing, and retail.
What this tier adds
Adds credit-based consumption pricing, a dedicated account team, volume discounts, custom add-ons, support packages, AWS private link, and a HIPAA-compliant environment.
Where the pricing makes sense
The company stage and team size where Domo's pricing actually pencils out — and where peers do it cheaper.
Domo's published entry point is a 30-day free trial at $0 with full platform access and unlimited users; ongoing cost is Custom Pricing on a credit-based consumption model, quoted after a demo. That fits established enterprises with real data volume, not solo analysts. If you want a published per-seat number, Power BI and Tableau will quote you one; Domo trades that predictability for unlimited users and bundling ETL, BI, agents, and embedding into one contract.
Setup time & first value
How long it actually takes to get something useful out of Domo — broken out by persona, not the marketing-page minute.
Data engineers: connectors and drag-and-drop ETL get a first dataset in within days, but a governed, production-ready model takes weeks. BI teams: a first dashboard is a same-day exercise in Analyzer. Business users: App Catalyst agents and AI Chat are usable without code once data is governed underneath. Plan on the full 30-day trial to validate credit consumption.
Switching to or from Domo
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Tableau or Power BI: rebuild cards in Analyzer and reconnect sources through Domo's 1,000+ connectors, then compare credit consumption against per-seat licensing.
- →From a hand-rolled warehouse plus reporting tool: keep data in Snowflake, BigQuery, or Databricks and query it in place with Cloud Amplifier rather than copying.
- →From spreadsheets: move Excel and Google Sheets workbooks in directly as sources, then replace the downstream ROI workbooks with live sales apps.
- ↗To Power BI or Tableau: export underlying datasets from your cloud warehouse and rebuild dashboards there; expect to reintroduce per-seat licensing.
- ↗To a warehouse-native BI stack on Snowflake or Databricks: because Cloud Amplifier already queries in place, that data does not need to move, but agents, App Catalyst apps, and embedded AI Chat must be rebuilt.
Integrations
Resources & Guides
- Documentationdomo.com
Introduction to Domo: A Comprehensive Overview
Full product docs from domo.com
- Learndomo.com
Domo Resource Center | Learn Data, AI & Analytics
Educational content from domo.com
- Resourcedomo.com
Contact Domo - Phone, Email & Address
Helpful link from domo.com
- Resourcedomo.com
Domo University
Helpful link from domo.com
- Resourcedomo.com
Domo Developer Portal
Helpful link from domo.com
- Resourcedomo.com
The Domo Blog | Data, AI & Business Insights
Helpful link from domo.com
Tutorials & Learning
YouTube returned 6 videos for “Domo”, and we withheld 6: 6 could not be judged, because “Domo” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Domo.
Official links
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Frequently Asked Questions
Best-of guides
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