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Software · head to head

Logi Analytics vs Domo

Logi Analytics logo

Logi Analytics

Software

Embedded analytics for developers

From
$800/month
Rated
-
Domo logo

Domo

Software

Business cloud for modern enterprises

From
$30000/year
Rated
-

The short version

  • Each has a real cost: Logi Analytics pricing is not publicly available; custom quotes required from sales team; 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: Logi Analytics covers Low-code Embedding, Domo covers 1000+ Connectors.

Where they differ

Only the attributes on which Logi Analytics and Domo actually diverge.

Attributes where Logi Analytics and Domo differ
AttributeLogi AnalyticsDomo
Starting price$800/month$30000/year
Pricing modelsubscriptionUnknown
PlatformsWebWeb, Mobile, Api
Founded20032010

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 Logi Analytics

  • Low-code Embedding
  • Self-service Analytics
  • Data Connectors
  • Custom Branding
  • Multi-tenancy
  • SQL Server
  • PostgreSQL
  • MySQL

Only in Domo

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

Both cover

  • Web support
  • Api support

What people use each for

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

Logi Analytics

  • Embedded analytics and data visualization for software applicationsnot Domo
  • Custom business intelligence application development with low-code platformnot Domo

Domo

  • Self-service analyticsnot Logi Analytics
  • Data explorationnot Logi Analytics
  • Ad-hoc reportingnot Logi Analytics
  • Collaborative analysisnot Logi Analytics
  • Embedded analyticsnot Logi Analytics

Where each one falls short

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

Logi Analytics

  • Pricing is not publicly available; custom quotes required from sales team

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

Logi Analytics

$800/month
  • Team$800/month
    • Embedded Dashboards
    • Self-service
    • APIs
  • EnterpriseFree
    • Full Platform
    • Multi-tenant
    • Custom Development

Domo

$30000/year

No published plan breakdown. See the Domo review.

Which should you pick?

Choose Logi Analytics if

  • You need low-code embedding.
  • You also want self-service analytics.

Choose Domo if

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

Questions people ask

Is Logi Analytics or Domo better?
Neither clearly leads. Logi Analytics starts at $800/month and Domo at $30000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Logi Analytics or Domo?
Logi Analytics starts at $800/month and Domo at $30000/year.
Does Logi Analytics or Domo run on more platforms?
Logi Analytics runs on Web. Domo runs on Web, Mobile, Api.
What is Logi Analytics best used for?
Logi Analytics is most often used for embedded analytics and data visualization for software applications, custom business intelligence application development with low-code platform. Of those, embedded analytics and data visualization for software applications and custom business intelligence application development with low-code platform are not what Domo is typically brought in for.
What can Logi Analytics do that Domo cannot?
Logi Analytics covers Low-code Embedding, Self-service Analytics, Data Connectors, Custom Branding. Domo covers 1000+ Connectors, Real-time Data, Mobile BI, Collaboration. 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.

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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