Domo is a cloud-based business intelligence and data platform that connects over 1,000 data sources, prepares and governs that data, and turns it into real-time dashboards, reports, and custom or pre-built AI agents such as HR benefits, competitive research, and customer support agents. It integrates with major cloud and data platforms including Snowflake, Databricks, AWS, Azure, and Salesforce. Domo moved to a consumption-based credit pricing model rather than flat public tiers, with published third-party data showing median enterprise contracts in the tens of thousands of dollars per year; pricing is quoted directly by Domo based on usage and user types (Privileged, Participant, Social). It is built for mid-market to large enterprises that need governed, embeddable analytics and are starting to layer AI agents on top of their BI data.
Looker is a business intelligence and data platform that lets teams define metrics once and explore governed data across the organization. It is built around the LookML semantic modeling layer, providing a single source of truth for data analysis and decision-making.
- Broad native connector library reduces custom data integration work
- Combines traditional BI dashboards with newer AI agent-building capabilities in one platform
- Strong analyst and reviewer ratings (4.3-4.5 stars on G2 and Gartner Peer Insights)
- Role-based pricing tiers can limit cost for view-only users
- Provides a single source of truth for data analysis and decision-making
- Enables data governance and security through access controls and auditing
- Supports custom data modeling and metrics with LookML
- Integrates with various data sources, including SQL databases and cloud storage
- No public pricing, making upfront budgeting difficult without a sales conversation
- Reported median contracts run tens of thousands of dollars per year, pricing out very small teams
- Credit/consumption-based billing can create unpredictable costs for heavy ETL usage
- Requires technical expertise to implement and customize
- Can be complex to use for non-technical users
- Pricing model may not be suitable for small businesses or individuals
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The Verdict
AI-generated from listing dataLooker offers deep semantic modeling for technically skilled enterprises, while Domo provides broader native connectors and AI‑agent features for organizations needing quick, governed dashboards.
Key differences
- •Looker requires technical expertise to build and maintain LookML models; Domo emphasizes out‑of‑the‑box connectors and AI agents.
- •Domo lists over 1,000 native data source connectors versus Looker’s more limited set (Google Cloud, AWS, Azure).
- •Looker focuses on a single source of truth and governance; Domo adds workflow automation and role‑based user tiers.
- •Support details are explicit for Looker (24/7 phone, live chat); Domo’s support options are not specified.
- •Pricing is undisclosed for both, but Domo’s consumption‑based billing can be unpredictable for heavy ETL use.
Pricing & value
Both list pricing as unknown/contact only; no concrete cost comparison available.
Ease of use / learning curve
Looker requires technical expertise; Domo’s ease not specified, so no clear advantage.
Features & depth
Looker excels in semantic modeling; Domo adds AI agents and workflow automation—different strengths.
Integrations & ecosystem
Domo cites connectors to Snowflake, Databricks, Oracle, Salesforce, plus AWS/Azure; Looker lists only major clouds.
Collaboration
Looker highlights data sharing, visualization collaboration, and governed access; Domo’s collaboration features not mentioned.
Scalability
Both are cloud/SaaS platforms; no specific scalability metrics provided.
Support
Looker offers email, live chat, 24/7 phone support; Domo’s support options are not detailed.
Security & privacy
Looker mentions access controls and auditing; Domo provides no security specifics.
Choose Domo if…
Mid‑to‑large org needing many native connectors, AI agents, and role‑based cost control.
Choose Looker if…
Enterprise with strong data‑modeling needs and a technical analytics team.
Common questions
How transparent is the pricing for each platform?
Both products require contacting sales; no public pricing is provided.
Which tool offers more native data source connectors?
Domo lists connectors to Snowflake, Databricks, Oracle, Salesforce, AWS, Azure, etc.; Looker lists only Google Cloud, AWS, Azure.
Do either platforms provide built‑in governance and security controls?
Looker explicitly offers access controls and auditing; Domo does not specify governance features.