Software · head to head
Domo vs Google Data Studio
The short version
- Only Google Data Studio has a free tier, so it costs nothing to try first.
- 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; Google Data Studio google Data Studio has been renamed Looker Studio; the vendor's own landing page states it is free to use ("It's easy and free"), with no enterprise pricing tier visible on the consumer product itself.
- They diverge on capability: Domo covers 1000+ Connectors, Google Data Studio covers Free Platform.
Where they differ
Only the attributes on which Domo and Google Data Studio actually diverge.
| Attribute | Domo | Google Data Studio |
|---|---|---|
| Starting price | $30000/year | Free |
| Pricing model | Unknown | free |
| Free tier | No | Yes |
| Platforms | Web, Mobile, Api | Web |
| Founded | 2010 | 1998 |
Identical on both: 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
- Salesforce
- QuickBooks
Only in Google Data Studio
- Free Platform
- Real-time Collaboration
- Custom Visualizations
- Data Blending
- Sharing
- BigQuery
- Google Sheets
- YouTube
Both cover
- Google Analytics
- Web 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
Google Data Studio
- 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
Google Data Studio
- Google Data Studio has been renamed Looker Studio; the vendor's own landing page states it is free to use ("It's easy and free"), with no enterprise pricing tier visible on the consumer product itself.
Pricing, plan by plan
Domo
$30000/yearNo published plan breakdown. See the Domo review.
Google Data Studio
Free- FreeFree
- Unlimited Reports
- Data Connectors
- Collaboration
Which should you pick?
Choose Domo if
- You need 1000+ connectors.
- You work on Web, Mobile, Api.
- You also want real-time data.
Choose Google Data Studio if
- You need free platform.
- You want to start without paying.
- You also want real-time collaboration.
Questions people ask
- Is Domo or Google Data Studio better?
- Neither clearly leads. Domo starts at $30000/year and Google Data Studio at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Domo or Google Data Studio?
- Google Data Studio has a free tier; the other does not. Paid plans start at $30000/year for Domo and Free for Google Data Studio.
- Does Domo or Google Data Studio run on more platforms?
- Domo runs on Web, Mobile, Api. Google Data Studio runs on Web.
- Can I use Google Data Studio for free?
- Yes. Google Data Studio has a free tier, so you can try it without paying. Domo starts at $30000/year.
- 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 Google Data Studio cannot?
- Domo covers 1000+ Connectors, Real-time Data, Mobile BI, Collaboration. Google Data Studio covers Free Platform, Real-time Collaboration, Custom Visualizations, Data Blending. Both handle Google Analytics, Web 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.
SourceDomo: 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.
SourceDomo: 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.
SourceDomo: 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.
SourceDomo: 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.
SourceDomo: 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.
SourceRelated pages
More on Google Data Studio
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