Overview
Domo is a cloud business-intelligence and data-app platform that bundles data integration, transformation, visualisation and distribution into a single end-to-end environment rather than expecting buyers to assemble a separate ETL tool, warehouse and BI layer. Founded in 2010 by Josh James in American Fork, Utah, and listed on the NASDAQ under DOMO, the company reported revenue of $318.9 million for the fiscal year ended 31 January 2026 — roughly flat year on year as it has pivoted toward consumption-based pricing and profitability rather than headline growth. Its positioning is the "business operating system": mobile-first executive dashboards, more than a thousand pre-built data connectors, and Magic ETL for visual data preparation, all delivered without the buyer running cloud data infrastructure.
That all-in-one model is Domo's clearest differentiator and the centre of the buyer debate. For mid-market and divisional teams that lack a dedicated data-engineering function, the integrated stack delivers dashboards quickly without standing up Snowflake, dbt and a separate BI tool. For organisations that already operate a modern warehouse, paying Domo to re-ingest and re-process data it could query in place is harder to justify, and the platform's 2023 shift to consumption-based credit pricing has made cost forecasting a central part of due diligence.
Key Features
- 1,000+ pre-built connectors for cloud apps, databases and files
- Magic ETL visual data preparation with drag-and-drop transforms
- Beast Mode calculated fields and in-platform SQL (DataFlows)
- Mobile-first dashboards and the Domo mobile app for executives
- Cards and stories for distributing curated metrics
- Domo Everywhere for embedded and white-label analytics
- App Studio and pro-code data apps on the platform
- Domo.AI assistants for natural-language querying and generation
- Alerts, Buzz collaboration and workflow actions on data
- Federated query options to read from external warehouses
- Governance, row-level security (PDP) and usage analytics
- Writeback and operational data-app capabilities
Pricing
| Model | Basis | Indicative | Notes |
|---|---|---|---|
| Consumption credits | Credits drawn by workloads | ~$30,000/yr minimum | Annual contract; credits consumed by queries and ETL |
| Standard | Per-user (legacy) | Contact for quote | Being phased out in favour of consumption |
| Enterprise | Negotiated | Contact for quote | Volume credits, governance, premium support |
Pricing verified June 2026. Domo does not publish full list pricing; the platform moved to a consumption-based credit model where roughly one credit equates to processing one million rows, and Magic ETL can charge on both ingest and output. Enterprise pricing requires a quote.
Strengths
- Genuinely end-to-end: integration, prep, visualisation and distribution in one platform
- Very large connector library shortens time-to-first-dashboard
- Best-in-category mobile experience for executive consumption
- No requirement to run a separate warehouse or ETL stack
- Strong embedded-analytics capability through Domo Everywhere
Limitations
- Consumption-credit pricing is hard to forecast; costs can rise sharply with data volume and ETL frequency, and Magic ETL can be charged on both input and output of the same dataset
- Overlaps with and can duplicate spend for organisations that already run a modern cloud warehouse
- Advanced statistical and data-science depth trails purpose-built analytics tools
- Heavy in-platform processing can become expensive versus querying data in place
- Smaller analyst and community ecosystem than Power BI or Tableau
Buyer Considerations
Domo's value proposition is sharpest for organisations without a mature data-engineering team that want operational dashboards quickly. The single most important diligence step is a consumption model: estimate credit usage from realistic data volumes and refresh frequencies, because the platform's economics shift materially once ETL pipelines run often or datasets grow. Buyers that already operate a cloud data warehouse should evaluate federated query so Domo reads from the warehouse rather than re-ingesting, which changes both the cost profile and the architectural overlap. Benchmark a Domo quote against an all-in Power BI or Tableau stack on the same workload, and insist on a usage estimate with cost guardrails written into the contract.
User Sentiment
Aggregate review sentiment is positive on capability and mixed on cost. Buyers consistently praise the breadth of connectors, the speed of getting an executive dashboard live, and the mobile experience, which reviewers describe as the best in the category for leadership consumption. Teams without in-house data engineering particularly value not having to assemble a separate pipeline and warehouse. The dominant criticism is pricing predictability: reviewers repeatedly flag that the consumption model makes budgeting difficult and that costs can escalate as usage grows, with several advising peers to model credit consumption carefully before committing. A secondary theme is that power users coming from Tableau or notebook-based workflows find Domo's analytical depth and customisation more constrained. Support and account-management experiences vary by contract size. The net picture is of a capable, fast-to-value platform whose main friction is cost transparency rather than functionality.