Software · head to head
Domo vs GoodData
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; GoodData pricing scales per workspace as customer base grows, increasing costs with scale
- They diverge on capability: Domo covers 1000+ Connectors, GoodData covers Headless BI.
Where they differ
Only the attributes on which Domo and GoodData actually diverge.
Identical on both: pricing model (Unknown), 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
- Salesforce
- Google Analytics
Only in GoodData
- Headless BI
- Semantic Layer
- Embedded Analytics
- Multi-tenancy
- White-labeling
- Snowflake
- BigQuery
- Redshift
Both cover
- Web support
- Api 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
GoodData
- 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
GoodData
- Pricing scales per workspace as customer base grows, increasing costs with scale
- Advanced security features like audit logging and HIPAA compliance only on Enterprise plan
Pricing, plan by plan
Domo
$30000/yearNo published plan breakdown. See the Domo review.
GoodData
On request- Professional$undefined/mo
- Core BI and analytics
- Full embedding with whitelabeling
- Multi-tenancy support
- Enterprise$undefined/mo
- All Professional features
- Custom agents and Agent Builder
- 99.5% guaranteed uptime SLA
Which should you pick?
Choose Domo if
- You need 1000+ connectors.
- You work on Web, Mobile, Api.
- You also want real-time data.
Choose GoodData if
- You need headless bi.
- You work on Web, Cloud AWS, Cloud Azure.
- You also want semantic layer.
Questions people ask
- Is Domo or GoodData better?
- Neither clearly leads. Domo starts at $30000/year and GoodData at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Domo or GoodData?
- Domo starts at $30000/year and GoodData at On request.
- Does Domo or GoodData run on more platforms?
- Domo runs on Web, Mobile, Api. GoodData runs on Web, Cloud AWS, Cloud Azure.
- 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 GoodData cannot?
- Domo covers 1000+ Connectors, Real-time Data, Mobile BI, Collaboration. GoodData covers Headless BI, Semantic Layer, Embedded Analytics, Multi-tenancy. Both handle Web support, Api 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.
SourceGoodData: Does GoodData offer a free tier?
No, GoodData does not offer a free tier. The platform has Professional and Enterprise pricing tiers that require sales contact for quotes.
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.
SourceGoodData: What data warehouses can GoodData connect to?
GoodData supports direct connections to Snowflake, BigQuery, Redshift, Azure Databricks, and PostgreSQL through a direct-query-only integration model.
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.
SourceGoodData: Can you self-host GoodData?
Self-hosted deployment is only available on the Enterprise plan. Professional plan customers are limited to the managed SaaS offering.
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
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