Overview
Domo is an enterprise-grade AI & data products platform that unifies data integration, preparation, analytics, visualization, and AI-driven automation across organizations. It provides 1,000+ pre-built connectors, federated querying into cloud data warehouses (avoiding unnecessary duplication), drag-and-drop ETL (Magic ETL), SQL dataflows, and low-latency caching for interactive dashboards. Domo.AI offers conversational AI (AI Chat), AI Agents for workflow automation, model management, and AI readiness tooling. The platform supports app development and embedding (Bricks, SDKs, App Dev Framework), collaboration (Buzz), robust governance and security (SSO, MFA, BYOK, SOC/GDPR/HIPAA/ISO compliance), and scaling via a hybrid architecture paired with major CDWs. Domo emphasizes enabling broad access — unlimited user seats — while providing enterprise controls and consumption-based billing to scale usage. Pricing is consumption/credit-based and exact numeric prices are not publicly posted; customers are directed to contact sales. Consumption Supplemental Terms define credit usage for data rows, executions, AI chat and AI Pro model operations, Jupyter usage, and other billable activities. Rating rationale: Domo has strong enterprise visibility and industry recognition, positive verified user reviews on G2 and Capterra, and a broad connector ecosystem and rich analytics/AI features. Areas holding back a top-tier score include recurring feedback about price and complexity for some advanced use cases, and mixed sentiment on community threads about cost/value tradeoffs.
Key Features
Connectors & Data Integration
1,000+ pre-built connectors, Workbench for on-prem sources, SDKs and custom connector studio; support for file ingestion, SFTP, APIs, and email attachments.
Magic ETL & Data Prep
Drag-and-drop ETL with scripting support, SQL dataflows, and R/Python integration for complex transformations and enrichment.
Federated Queries & Cloud Amplifier
Query data directly in existing cloud data warehouses without duplicating data; Cloud Amplifier enables native BI on top of cloud data.
Domo.AI (AI Chat & AI Agents)
Conversational AI (AI Chat) for natural-language exploration, AI Agents to automate workflows and tasks, and managed model deployment and governance.
Visualization & Embedded Analytics
150+ chart types, thousands of custom maps, Dashboards/Stories, Analyzer and Beast Mode calculations; Appstore, Bricks, and SDKs for embedding analytics.
Automation & Workflows
Workflows, scheduled reports, alerts, and automation driven by AI Agents for proactive notifications and operational actions.
Who Can Use This Tool?
- Data Teams:Integrate, prepare, and govern enterprise data for analytics and AI use cases across business units.
- Business Analysts:Create interactive dashboards and run ad-hoc analysis with low-code visual tools and Beast Modes.
- Executives:Receive real-time KPIs, alerts, and embedded insights to drive strategic decisions and monitor operations.
- Developers/Partners:Build embedded analytics, custom connectors, and apps using SDKs, Bricks and API integrations.
Pricing Plans
30-day free trial of the full Domo platform with onboarding support.
- ✓Full platform
- ✓Unlimited users
- ✓Onboarding support
- ✓Self-service education
- ✓One training session
Consumption-based paid plan; contact sales for custom pricing and enterprise options.
- ✓Everything in Free
- ✓Dedicated account team
- ✓Volume discounts
- ✓Custom add-ons available
- ✓Support packages
- ✓AWS PrivateLink
- ✓HIPAA-compliant environment
Pros & Cons
✓ Pros
- ✓Very large connector library (1,000+ connectors) enabling broad data integration.
- ✓Unified platform combining ETL, BI, visualization, ML, and AI Agents.
- ✓Strong governance and security controls (SSO, MFA, SOC/GDPR/HIPAA/ISO support, BYOK).
- ✓Rich visualization and embedded analytics capabilities (150+ chart types, Appstore/Bricks embedding).
- ✓Consumption-based model enables scaling and flexible cost alignment with usage; unlimited user seats enable broad adoption.
✗ Cons
- ✗Pricing perceived as high or complex by some buyers; many enterprise-specific terms require sales engagement.
- ✗Advanced customization and some developer workflows have a learning curve.
- ✗Some community feedback indicates mixed experiences (value vs cost) for smaller teams.
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