Domo
Cloud business intelligence platform with data connectors, transformation, dashboards and app building. Progress Software bought the Domo platform business in September 2026.
Ownership
- Acquired by Progress Software · closed Sep 2026 · source · In the Martech Market Report
Progress Software agreed on 22 July 2026 to buy substantially all of Domo, Inc.'s assets, including the Domo AI and data platform, for $400 million in cash, and completed the deal on 22 September 2026.
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Domo Pros & Cons
Key strengths and limitations to consider, drafted by an AI model from public sources
Strengths
- Offers more than 1,000 prebuilt data connectors
- Supports unlimited users under its consumption model
- Combines BI, ETL, workflows, and embedded analytics
- Provides federated access to major cloud warehouses
- Includes mobile dashboards and operational alerts
Limitations
- Credit consumption can make costs difficult to forecast
- Formal semantic modeling is less central than in Looker
- Advanced visual customization trails Tableau in some cases
- Many enterprise capabilities require custom pricing
- Some connector features vary by source API limitations
Ideal For
Who benefits most from Domo, drafted by an AI model from public sources
Quick Analysis
Domo competes in the cloud business intelligence and analytics platform market, combining data integration, transformation, dashboards, embedded analytics, workflow automation, and AI-assisted analysis. It is broader than a dashboarding tool but less infrastructure-centric than a modern data stack built around Snowflake, dbt, and Looker or Tableau.
Its strengths are a large connector library, business-user-oriented data preparation, mobile dashboards, embedded analytics, and consumption-based pricing with unlimited users. Domo is a strong fit for midmarket and enterprise organizations that want one governed environment for ingestion, analytics, and operational data products rather than assembling separate tools. Compared with Tableau, it offers more native data integration and pipeline functionality; compared with Power BI, it is generally more cross-functional and cloud-native but typically less cost-transparent; compared with Looker, it is faster for visual, business-led deployment but less centered on a formal semantic modeling layer.
Evaluate Domo when business teams need to move from disparate SaaS and operational data sources to governed dashboards and workflows without relying entirely on a centralized data engineering team. Prefer Power BI for Microsoft-heavy environments and broad self-service economics, Tableau for advanced visualization ecosystems, and Looker for warehouse-native semantic governance. Before buying, validate credit consumption under refresh, storage, workflow, and AI workloads; connector coverage and API limits; governance requirements; warehouse federation performance; and whether embedded analytics licensing meets the intended application model.
Retail headquarters monitoring sales, inventory, promotions, and store performance across regions
Franchise operations distributing localized KPI dashboards to hundreds of locations
Marketing teams combining ad, CRM, web, and revenue data for campaign reporting
Finance teams automating executive reporting from ERP, billing, and planning systems
Software companies embedding customer health and usage dashboards in their applications
Operations teams triggering alerts and workflows from supply-chain or service metrics
Pricing
Model
custom
Reliability (from Domo’s status page)
Not enough status history yet (0 of 180 days observed).
Based on Domo’s own status page, last 180 days · coverage 0% · as of 17 Oct 2026. Self-reported by the vendor, not measured uptime. How this is worked out
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