Domo Review, Pricing & Alternatives (2026)

Domo is a cloud-native data platform made by Domo, Inc., a company founded in 2010 by Omniture co-founder Josh James. Domo raised $33 million in a 2011 Series A, bringing reported total funding to $43 million, then went public in 2018 at $21 per share and approximately $202.6 million in net proceeds. The company positions Domo as a platform for putting data to work across an organization, with dashboards and apps intended for business users as well as data teams. Its current product scope spans data integration, transformation, business intelligence, automation, AI, governance, and embedded analytics. That breadth is useful for organizations seeking one cloud service, though it also means buyers must assess which capabilities they will consume.

Domo typically starts with connectors that bring data into the platform, followed by transformation in Magic ETL or SQL-based flows. Teams can build dashboards, visualizations, and apps from those datasets, then distribute reports or trigger workflows from alerts, timers, applications, or APIs. App Studio provides drag-and-drop elements for interactive experiences, while Workspaces organize apps, dashboards, cards, datasets, and dataflows. Domo also supports embedded dashboards and apps, scheduled reports, low-code development, and connections to cloud data warehouses. The workflow is designed to move from ingestion to preparation, analysis, distribution, and action without requiring separate products for every stage. Administrators can apply permissions and PDP policies to data access, including for AI-generated responses.

Domo’s 2025 releases added a Magic ETL SQL action, table elements in App Studio, Workspaces, Report Builder, and additional workflow and AI features. The 2025 Release 2 documentation lists AI Agent tasks in Workflows, an AI Content Builder Agent, Deep Research, Image-to-Text, embedded AI Chat, Jupyter Notebook workflow tasks, and API workflow triggers. Domo AI Pro became generally available in September 2025, with consumption pricing taking effect October 1, 2025. Domo AI remains available for features such as the Beast Mode Assistant, SQL Assistant, and Magic ETL Formula Assistant, while AI Pro covers selected agent tasks, AI Services, text generation, and related analysis. Domo describes flexible use of Domo-hosted models and customer-hosted models, with token-based AI consumption pricing.

Domo publishes a 30-day free trial with the full platform, unlimited users, onboarding support, self-service education, and one training session. No credit card is required, but the trial is time-limited rather than a permanent free plan. Paid access uses custom credit-based pricing, with credits consumed by activities such as storing data, updating tables, running workflows, and using advanced capabilities. The paid offer includes the trial capabilities plus a dedicated account team, volume discounts, custom add-ons, support packages, AWS PrivateLink, and a HIPAA-compliant environment. Domo does not publish a general dollar subscription price or public credit rate on its pricing page. AI Pro adds consumption-based charges, and administrators can view feature and model rates through the platform’s AI Consumption Rate Card.

Domo’s main trade-off is commercial complexity: the platform combines many products, but its public pricing does not reveal a standard paid starting point. It is cloud-native rather than an open-source or self-hosted deployment, and AI use can add consumption charges. Power BI is a clearer fit for teams already invested in Microsoft tools and seeking a lower published per-user price. Tableau is stronger when highly customized visual exploration is the priority, while Looker is a closer choice for governed modeling and embedded analytics. Domo is more cohesive when one service must cover ingestion, ETL, BI, apps, workflows, and AI for business users. Choose Domo if that integrated cloud scope matters more than transparent pricing or self-hosting.