Blog · Alternatives and comparisons
Domo vs Power BI compared: what each is built for, what it needs before the first answer, and a file-first option when neither fits.
Domo and Power BI are both good at what they are built for. Domo bundles connectors, data preparation, dashboards and apps on a credit-based model with no per-user charges; Power BI licenses per user and builds on semantic models inside the Microsoft estate. This guide sets them side by side, fairly, and ends with the case where a team needs neither.
| Domo | Power BI | Covirage | |
|---|---|---|---|
| Built for | Organisations that want connectors, data preparation, dashboards and automation from a single vendor; Companies that want to give dashboards to many people without buying a licence per user | Organisations already using Microsoft 365, Teams and Azure that want reporting inside the same estate; Teams with analysts who can build and maintain a semantic model for others to report from | The person waiting for the answer, in a big or medium company |
| How it gets data | Domo ingests data through more than 1,000 cloud connectors, file uploads, email attachments, SFTP, APIs and on-premises connectors (Domo Workbench), and stores it in its own cloud. It can also run federated queries on live data in warehouses such as Snowflake, BigQuery and Redshift without copying it. Data is transformed with Magic ETL, SQL DataFlows or DataSet Views. | Connects to online services, databases (including SQL Server, PostgreSQL, Snowflake and Redshift), files and big-data engines. Microsoft recommends importing data into the semantic model's in-memory cache by default; DirectQuery leaves data in the source and queries it per visual; live connections reuse an existing published semantic model or Analysis Services model; Direct Lake reads Fabric lakehouse tables. Scheduled refresh of on-premises sources may require an on-premises data gateway. | Files and sheets now; scheduled delivery by API, S3, Azure, SFTP or email on Business; connections built with your team on Enterprise |
| Needs before the first answer | Connector set-up for each source, or Workbench for on-premises data; Data pipelines in Magic ETL or SQL DataFlows to clean and join data; Data prepared with metadata and context ("AI readiness") for AI Chat to give accurate answers | A semantic model (tables, relationships and DAX measures) built by someone comfortable with Power Query and DAX; Power BI Desktop on Windows for most report authoring; An on-premises data gateway where data sits behind the firewall | The exports your systems already produce. No warehouse, no modelling language, no data team |
| AI | AI Chat lets users ask questions in natural language and returns answers, visualisations or recommendations from their data. The AI SQL assistant turns plain-language requests into SQL queries and Beast Mode formulas. Agent Catalyst is used to build, test and deploy custom AI agents, and Domo offers hosted models from providers such as OpenAI and Anthropic or connections to a customer's own models. DomoGPT is described as a suite of private models within the Domo cloud for chatting, querying and summarising. | Copilot in Power BI offers chat over a report (the report Copilot pane, generally available), a standalone cross-item Copilot and app-scoped Copilot (both in preview). For business users it summarises reports and answers questions, using the semantic model when the question relates to its data. For authors it can create and edit report pages, add narrative summary visuals, write DAX queries and suggest descriptions for measures; Copilot in web modelling (preview) reviews and edits semantic models. Microsoft advises preparing the semantic model for AI first, as unprepared models can lead to generic or inaccurate answers. | The AI model chooses a measure and writes the explanation; our tools do the arithmetic and check every total |
| Published pricing | Domo does not publish list prices. It uses a credit-based model: credits are consumed by actions such as storing data, updating tables, running workflows and using AI, with no per-user charges. A 30-day free trial requires no credit card. A third-party guide from August 2026 reports paid contracts starting at about $30,000 a year. | Free account for personal report creation (sharing requires a paid licence). Power BI Pro is $14.00 per user per month and Premium Per User is $24.00 per user per month, both paid yearly. Power BI Embedded and Fabric capacity (reserved or pay-as-you-go) are variably priced. Copilot requires paid Fabric capacity (F2 or higher) or Premium (P1 or higher); a Pro or PPU licence alone is not enough. | Three tiers on one sheet, shared in a conversation |
Domo is a cloud platform that combines data integration, business intelligence dashboards, low-code apps and AI agents in one product. Customers connect sources through pre-built connectors, prepare data with the visual Magic ETL tool or SQL, and build dashboards, alerts and workflows on top. In September 2026 Progress Software completed its purchase of substantially all of Domo's AI and data platform business.
Power BI is Microsoft's business intelligence product for building semantic models, reports and dashboards. Authors typically design reports in the Power BI Desktop application for Windows and publish them to the Power BI service, where colleagues view and share them in the browser, on mobile or in Microsoft Teams. It is also part of Microsoft Fabric, which provides the capacity that its Copilot features run on.
Domo. Domo ingests data through more than 1,000 cloud connectors, file uploads, email attachments, SFTP, APIs and on-premises connectors (Domo Workbench), and stores it in its own cloud. It can also run federated queries on live data in warehouses such as Snowflake, BigQuery and Redshift without copying it. Data is transformed with Magic ETL, SQL DataFlows or DataSet Views.
Power BI. Connects to online services, databases (including SQL Server, PostgreSQL, Snowflake and Redshift), files and big-data engines. Microsoft recommends importing data into the semantic model's in-memory cache by default; DirectQuery leaves data in the source and queries it per visual; live connections reuse an existing published semantic model or Analysis Services model; Direct Lake reads Fabric lakehouse tables. Scheduled refresh of on-premises sources may require an on-premises data gateway.
Domo. AI Chat lets users ask questions in natural language and returns answers, visualisations or recommendations from their data. The AI SQL assistant turns plain-language requests into SQL queries and Beast Mode formulas. Agent Catalyst is used to build, test and deploy custom AI agents, and Domo offers hosted models from providers such as OpenAI and Anthropic or connections to a customer's own models. DomoGPT is described as a suite of private models within the Domo cloud for chatting, querying and summarising.
Power BI. Copilot in Power BI offers chat over a report (the report Copilot pane, generally available), a standalone cross-item Copilot and app-scoped Copilot (both in preview). For business users it summarises reports and answers questions, using the semantic model when the question relates to its data. For authors it can create and edit report pages, add narrative summary visuals, write DAX queries and suggest descriptions for measures; Copilot in web modelling (preview) reviews and edits semantic models. Microsoft advises preparing the semantic model for AI first, as unprepared models can lead to generic or inaccurate answers.
Domo:
Power BI:
Both assume a team that will build and maintain a model of the data before questions get answered. Some teams have a narrower need: one desk, one recurring question such as "what is driving my costs" or "where is my revenue coming from", and exports that already exist. For them, Covirage reads those files, answers the question with a bridge that sums to the change, and is set up for them within a week. The AI model chooses the measure and explains it; our tools do the arithmetic.
See the full pages on Domo alternatives and Power BI alternatives, or how to evaluate an analytics vendor.
Facts about other products were checked on 24 September 2026 from the pages below. Product names are trademarks of their owners; Covirage is not affiliated with them.
Domo bundles connectors, data preparation, dashboards and apps on a credit-based model with no per-user charges; Power BI licenses per user and builds on semantic models inside the Microsoft estate.
It depends on what is in place. For Domo: Connector set-up for each source, or Workbench for on-premises data; Data pipelines in Magic ETL or SQL DataFlows to clean and join data; Data prepared with metadata and context ("AI readiness") for AI Chat to give accurate answers. For Power BI: A semantic model (tables, relationships and DAX measures) built by someone comfortable with Power Query and DAX; Power BI Desktop on Windows for most report authoring; An on-premises data gateway where data sits behind the firewall. Check both against your team and your data before comparing licence prices.
For a desk that needs to explain why its numbers moved, from exports it already produces, Covirage answers from the file and is set up for you within a week. It does not replace a platform for the whole organisation.