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Machine Learning · head to head

Domino Data Lab vs Domo

Domino Data Lab logo

Domino Data Lab

Machine Learning

Enterprise MLOps platform

From
Free
Rated
-
Full reviewWebsite
Domo logo

Domo

Business Intelligence

Business cloud for modern enterprises

From
$30000/year
Rated
-
Full reviewWebsite

The short version

  • Only Domino Data Lab has a free tier, so it costs nothing to try first.
  • Each has a real cost: Domino Data Lab pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form; Domo pricing is not published; contracts start around $30,000 per year minimum, making budget planning difficult without a sales conversation
  • They diverge on capability: Domino Data Lab covers Reproducible environments, Domo covers 1000+ Connectors.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Domino Data Lab and Domo actually diverge.

Attributes where Domino Data Lab and Domo differ
AttributeDomino Data LabDomo
Starting priceFree$30000/year
Pricing modelsubscriptionUnknown
Free tierYesNo
PlatformsWebWeb, Mobile, Api
CategoryMachine LearningBusiness Intelligence
Founded20132010

Identical on both: user rating (Not yet rated).

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 Domino Data Lab

  • Reproducible environments
  • Model registry
  • Model monitoring
  • Governance
  • AWS
  • Azure
  • GCP
  • Kubernetes

Only in Domo

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

Both cover

  • Collaboration
  • Web support

What people use each for

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

Domino Data Lab

  • Running reproducible data science workspaces and experiments on shared computenot Domo
  • Deploying and monitoring models with governance controlsnot Domo
  • Giving regulated enterprises a self managed MLOps platformnot Domo

Domo

  • Self-service analyticsnot Domino Data Lab
  • Data explorationnot Domino Data Lab
  • Ad-hoc reportingnot Domino Data Lab
  • Collaborative analysisnot Domino Data Lab
  • Embedded analyticsnot Domino Data Lab

Where each one falls short

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

Domino Data Lab

  • Pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
  • Licensing is split by user type, with separate data science professional, data analyst, service account and admin licences
  • FinOps, Nexus and Governance are paid add on modules rather than part of the platform
  • Support level is a separate priced choice
  • Self managed VPC or on premises deployment requires the Premium tier or higher
  • No free trial is offered on the pricing page

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

Pricing, plan by plan

Domino Data Lab

Free
  • TrialFree
    • 14-day trial
    • Full features
  • EnterpriseFree
    • Full platform
    • Enterprise support
    • SLA

Domo

$30000/year

No published plan breakdown. See the Domo review.

Which should you pick?

Choose Domino Data Lab if

  • You need reproducible environments.
  • You want to start without paying.
  • You also want model registry.
Domino Data Lab review

Choose Domo if

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

Questions people ask

Is Domino Data Lab or Domo better?
Neither clearly leads. Domino Data Lab starts at Free and Domo at $30000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Domino Data Lab or Domo?
Domino Data Lab has a free tier; the other does not. Paid plans start at Free for Domino Data Lab and $30000/year for Domo.
Does Domino Data Lab or Domo run on more platforms?
Domino Data Lab runs on Web. Domo runs on Web, Mobile, Api.
Can I use Domino Data Lab for free?
Yes. Domino Data Lab has a free tier, so you can try it without paying. Domo starts at $30000/year.
What is Domino Data Lab best used for?
Domino Data Lab is most often used for running reproducible data science workspaces and experiments on shared compute, deploying and monitoring models with governance controls, giving regulated enterprises a self managed mlops platform. Of those, running reproducible data science workspaces and experiments on shared compute and deploying and monitoring models with governance controls are not what Domo is typically brought in for.
What can Domino Data Lab do that Domo cannot?
Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Governance. Domo covers 1000+ Connectors, Real-time Data, Mobile BI, App Development. Both handle Collaboration, Web support.

Answered from the vendors’ own pages

Domino Data Lab: What user license types are available and what can they do?

Data Science Professionals get full development, model training, and GPU access. Data Analysts get Python/R environments and dashboard creation with limited computing. License counts vary by tier (5-10 admin licenses and 5-10 service accounts).

Source
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
Domino Data Lab: What support response times are included?

Premium tier includes 2-business-day SLA for support. Enterprise includes 1-business-day SLA plus 24/7 support for critical issues. Both tiers include monitoring and support services.

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
Domino Data Lab: Are there additional modules available beyond the base subscription?

Yes, advanced add-on modules are available including FinOps (cost optimization), Nexus (hybrid/multicloud support), and Governance. These require separate purchase on top of your subscription tier.

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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