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Software · head to head

Domo vs Tableau

Domo logo

Domo

Software

Business cloud for modern enterprises

From
$30000/year
Rated
-
Full reviewWebsite
Tableau logo

Tableau

Software

Visual analytics platform for business intelligence

From
$70/month
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Domo pricing is not published; contracts start around $30,000 per year minimum, making budget planning difficult without a sales conversation; Tableau listed on UK G-Cloud at £9.47 per device per month for the Salesforce Tableau Platform edition, via reseller XMA Limited
  • They diverge on capability: Domo covers 1000+ Connectors, Tableau covers Interactive Dashboards.

Where they differ

Only the attributes on which Domo and Tableau actually diverge.

Attributes where Domo and Tableau differ
AttributeDomoTableau
Starting price$30000/year$70/month
Pricing modelUnknownsubscription
PlatformsWeb, Mobile, ApiWeb, Desktop, Mobile
Founded20101999

Identical on both: free tier (No), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Domo

  • 1000+ Connectors
  • Real-time Data
  • Mobile BI
  • Collaboration
  • App Development
  • Google Analytics
  • Facebook
  • QuickBooks

Only in Tableau

  • Interactive Dashboards
  • Data Blending
  • Real-time Analytics
  • Advanced Visualizations
  • Mobile Support
  • SAP
  • Oracle
  • AWS

Both cover

  • Salesforce
  • Web support
  • Mobile support

What people use each for

The jobs each tool is most often brought in to do.

Domo

  • Self-service analytics
  • Data exploration
  • Ad-hoc reporting
  • Collaborative analysis
  • Embedded analytics

Tableau

  • Self-service analytics
  • Data exploration
  • Ad-hoc reporting
  • Collaborative analysis
  • Embedded analytics

Both are used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis, embedded analytics, on those jobs the choice comes down to price and fit rather than capability.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Domo

  • Pricing is not published; contracts start around $30,000 per year minimum, making budget planning difficult without a sales conversation
  • Visualization customization is limited compared to specialized tools like Tableau, with rigid chart types and restricted pixel-level dashboard layouts
  • Version control and merge options for dataflows are very limited, making multi-developer projects prone to conflicts and overwrites
  • Workflows cannot be edited once deployed; any changes require rebuilding from scratch
  • Semantic layer lacks code-based governance, with metric definitions scattered inside individual cards rather than in a centralized governed location

Tableau

  • Listed on UK G-Cloud at £9.47 per device per month for the Salesforce Tableau Platform edition, via reseller XMA Limited

Pricing, plan by plan

Domo

$30000/year

No published plan breakdown. See the Domo review.

Tableau

$70/month
  • Creator$70/month
    • Full authoring capabilities
    • Prep Builder
    • Data Management
  • Explorer$42/month
    • Web editing
    • Self-service analytics
  • Viewer$15/month
    • View and interact with dashboards

Which should you pick?

Choose Domo if

  • You need 1000+ connectors.
  • You work on Web, Mobile, Api.
  • You also want real-time data.
Domo review

Choose Tableau if

  • You need interactive dashboards.
  • You work on Web, Desktop, Mobile.
  • You also want data blending.
Tableau review

Questions people ask

Is Domo or Tableau better?
Neither clearly leads. Domo starts at $30000/year and Tableau at $70/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Domo or Tableau?
Domo starts at $30000/year and Tableau at $70/month.
Does Domo or Tableau run on more platforms?
Domo runs on Web, Mobile, Api. Tableau runs on Web, Desktop, Mobile.
What is Domo best used for?
Domo is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis.
What can Domo do that Tableau cannot?
Domo covers 1000+ Connectors, Real-time Data, Mobile BI, Collaboration. Tableau covers Interactive Dashboards, Data Blending, Real-time Analytics, Advanced Visualizations. Both handle Salesforce, Web support, Mobile support.

Answered from the vendors’ own pages

Domo: Does Domo offer a free tier or trial?

Domo does not publish pricing on its website and does not offer a standard free tier. The platform uses a consumption-based credit model with minimum viable deployments starting around $30,000 per year. A free trial may be available upon request from the sales team.

Source
Domo: What data sources can Domo connect to?

Domo connects to over 1,000 pre-built connectors covering cloud applications, databases, advertising platforms, file services, spreadsheets, enterprise systems, and data warehouses. Custom integrations are possible via API.

Source
Domo: Can I self-host Domo or is it cloud-only?

Domo is a fully cloud-native, SaaS platform with no self-hosted option available. All data and applications run on Domo's cloud infrastructure.

Source
Domo: What does the credit-based pricing model mean?

Domo charges credits based on data consumption and platform activity. One credit roughly equals processing one million rows of data, though actual burn rate varies with workflows. Users purchase credit packages providing team access with unlimited user seats; only activity consumes credits, not dashboards or team size.

Source
Domo: Does Domo include AI features and what do they cost?

Domo AI features are free as part of your contract, including DomoGPT for AI chat queries. Premium AI capabilities are available through Domo AI Pro, which uses consumption-based pricing on a per-use basis.

Source
Domo: Can multiple teams collaborate on the same dashboard in Domo?

Yes, Domo supports team collaboration on shared dashboards and datasets. However, version control and merge capabilities for dataflows are limited, which can cause conflicts when multiple developers work on the same project.

Source
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