Domo

Domo is a cloud-based business intelligence platform. A Knowi review describes it as designed for building dashboards, integrating data and giving business users real-time insights, and a ThoughtSpot comparison page says it connects data from multiple sources into interactive dashboards that visualize KPIs, embed analytics into workflows and share data across teams. It is aimed at business users and analysts, and at larger organizations with deeper analytics needs.

Wikipedia describes Domo, Inc. as an American cloud software company based in American Fork, Utah, founded in 2010 by Josh James, who is its CEO. It trades on Nasdaq as DOMO. Wikipedia lists 824 employees (citing Forbes) and 2025 revenue of $317.0 million with a net loss of $59.3 million.

What you build and how

Knowi's review calls Domo an all-in-one BI platform. You build dashboards, reports and alerts on top of data that Domo pulls in from your other systems. Knowi says non-technical users can start quickly thanks to drag-and-drop dashboard builders, card-based layouts and hundreds of pre-built templates. A Metabase comparison page, written by a competitor, describes Domo as combining data warehousing, transformation and visualization in one tool.

The data layer is the part of Domo that most reviewers dwell on. Knowi says Domo connects to over 1,000 data sources out of the box, from Salesforce and Google Analytics to on-premises databases and custom APIs. Wikipedia adds that Domo offers an Oracle Database connector, a native Snowflake connector and support for integrating with BigQuery. Magic ETL, according to Knowi, lets users clean and join data visually without writing code, while more advanced users can use SQL, Python or R when needed. Astrato, another competitor, describes the architecture as extracting data out of your sources, storing it in Domo's own layer and running analytics on that copy. Redbird's guide for analysts says data freshness can lag depending on the connector type.

Collaboration sits inside the same product. Knowi lists in-context chat, projects, user profiles and tasks, and says every business user can put real-time data to work through visualizations, reports and alerts.

Wikipedia traces how the product grew. In 2021 Domo released Domo Everywhere, an embedded analytics tool for putting live, interactive dashboards and reports into external applications. In 2022 it added support for multi-cloud deployments and cross-cloud data integration, along with a governance toolkit, a sandbox environment, branding tools and integrations with the Microsoft Office suite. In 2024 it launched App Studio, which Wikipedia calls a low-code development tool for creating analytics apps using live data. In 2025 it announced Agent Catalyst, a toolkit within its AI platform that lets users create their own autonomous AI to manage workflows, scheduled at the time to launch in October 2025.

So the dashboards-and-BI use case is the center of the product: a team connects its sources, models and cleans the data in Domo, and publishes dashboards for colleagues. Beyond that, Domo Everywhere covers customer-facing dashboards inside someone else's application, and App Studio covers small analytics apps built on the same data. The pages we hold do not describe native mobile apps, white-label reselling terms or code export, so none of those are claimed here.

What the third-party pages say about cost, limits and support

No price list appears on any page we hold. The reviewers describe a model rather than a rate card.

• Knowi says Domo uses a credit-based pricing model layered on top of per-user licenses, which it calls flexible but hard to predict and easy to overspend when usage spikes. Its example: 100 users could cost $75,000 to $100,000 or more per year depending on usage.
• Metabase, a competitor, says ingesting data, transforms, dashboard refreshes, queries and AI all draw down credits, and that deployments commonly start around $30,000 a year.
• Redbird calls the pricing structure opaque and says it scales with the number of users and rows of data stored.
• Embeddable, which sells embedded analytics, says seat pricing tends to surface at renewal and consumption pricing can drift month to month. For a Domo Everywhere replacement it describes a per-customer publishing workflow, a theming constraint and a bill that moves with how often a customer's users log in. That is a vendor's framing of one scenario, not a published term.

On performance, Knowi says Domo can lag with large datasets or complex dashboards. Embeddable reports that reviewers on Gartner Peer Insights and practitioner forums say ETL runs against very large datasets can time out. Astrato lists recurring reload failures among the complaints of teams that have moved to a cloud warehouse.

Knowi's own list of limits adds that Domo lacks native NoSQL support and relies on third-party tools for AI and machine learning. Redbird calls Magic ETL functional but limited for complex transformations, and says someone technical still has to build and maintain the underlying data models. ThoughtSpot says users report a learning curve, limited tutorials and slow customer support.

Knowi credits Domo with an easy-to-use interface, built-in ETL, real-time dashboards, strong collaboration tools and enterprise-grade security. It does not name specific certifications, and neither does any other page we hold, so no compliance claim is made here.

One development matters for anyone buying now. Knowi says that on July 22, 2026, Domo agreed to sell substantially all of its assets, including the platform, customer contracts and employees, to Progress Software for $400 million in cash. It describes an asset sale with closing expected by November 30, 2026, and says existing contracts continue as normal until then. Knowi advises getting roadmap and renewal terms in writing.

Who it suits and who it does not

Knowi says Domo is best suited to teams that want an all-in-one BI platform with fast setup and strong visualization. That fits an operations or finance group with many scattered sources and no warehouse of its own, since the connectors, ETL and dashboards arrive together. Metabase concedes the product can be a good fit for larger enterprises with extensive analysis needs and deep pockets.

It is a weaker match for a team that has already moved to a cloud warehouse. Astrato argues that Domo's extract-and-cache model sits awkwardly beside a warehouse and semantic layer you have built, and Embeddable raises the same governance and cost questions for embedded use. A solo founder or small team on a tight budget should also read the pricing descriptions above closely, since the reviewers agree the bill is hard to forecast. And anyone signing a multi-year contract should weigh the pending asset sale.