Software · head to head
Domo vs NocoDB

NocoDB
Software
Open-source no-code database platform with REST and GraphQL APIs
- From
- Free
- Rated
- -
The short version
- Only NocoDB 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; NocoDB the free cloud tier is capped at 3 editor seats, 1,000 records and 1 GB of storage
- They diverge on capability: Domo covers 1000+ Connectors, NocoDB covers REST API.
Where they differ
Only the attributes on which Domo and NocoDB actually diverge.
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
- Google Analytics
Only in NocoDB
- REST API
- GraphQL API
- No-code database
- Multiple SQL databases
- Webhooks
- Automation
- Cloud support
- Self-hosted support
What people use each for
The jobs each tool is most often brought in to do.
Domo
- Self-service analyticsnot NocoDB
- Data explorationnot NocoDB
- Ad-hoc reportingnot NocoDB
- Collaborative analysisnot NocoDB
- Embedded analyticsnot NocoDB
NocoDB
- Self-hosting an open source alternative to a spreadsheet databasenot Domo
- Putting a spreadsheet interface over an existing Postgres or MySQL databasenot Domo
- Building internal tools on structured data with an APInot Domo
- Team bases with per-field and per-table permissions on the paid tiersnot Domo
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
NocoDB
- The free cloud tier is capped at 3 editor seats, 1,000 records and 1 GB of storage
- Records are the metering unit on cloud, so Plus covers 50K and Business 300K rather than scaling by seat alone
- Row-level security, audit log retention and team hierarchy require the Scale tier
- SCIM provisioning and air-gapped deployment are Enterprise only
- The self-hosted Community edition is unlimited on records and seats but does without workflows, scripts and dashboards, which start at the paid self-hosted tiers
Pricing, plan by plan
Domo
$30000/yearNo published plan breakdown. See the Domo review.
NocoDB
Free- CommunityFree
- Self-hosted NocoDB
- Community support
- Starter$5/monthly
- Cloud hosting
- Basic features
Which should you pick?
Choose Domo if
- You need 1000+ connectors.
- You work on Web, Mobile, Api.
- You also want real-time data.
Choose NocoDB if
- You need rest api.
- You want to start without paying.
- You work on Cloud, Self-hosted, Docker.
- You also want graphql api.
Questions people ask
- Is Domo or NocoDB better?
- Neither clearly leads. Domo starts at $30000/year and NocoDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Domo or NocoDB?
- NocoDB has a free tier; the other does not. Paid plans start at $30000/year for Domo and Free for NocoDB.
- Does Domo or NocoDB run on more platforms?
- Domo runs on Web, Mobile, Api. NocoDB runs on Cloud, Self-hosted, Docker.
- Can I use NocoDB for free?
- Yes. NocoDB 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. Of those, self-service analytics and data exploration are not what NocoDB is typically brought in for.
- What can Domo do that NocoDB cannot?
- Domo covers 1000+ Connectors, Real-time Data, Mobile BI, Collaboration. NocoDB covers REST API, GraphQL API, No-code database, Multiple SQL databases.
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
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