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Business Intelligence · head to head

Domo vs Rill Data

Domo logo

Domo

Business Intelligence

Business cloud for modern enterprises

From
$30000/year
Rated
-
Full reviewWebsite
Rill Data logo

Rill Data

Business Intelligence

Local-first BI on DuckDB and ClickHouse with dashboards defined as code

From
$20/month
Rated
-
Full reviewWebsite

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; Rill Data the seat price of 20 dollars is misleading as a budget figure: Rill’s own calculator puts a small two-seat project at around 256 dollars a month, with compute making up the great majority.
  • They diverge on capability: Domo covers 1000+ Connectors, Rill Data covers Local development.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Domo and Rill Data actually diverge.

Attributes where Domo and Rill Data differ
AttributeDomoRill Data
Starting price$30000/year$20/month
Pricing modelUnknownPer user per month plus metered compute
PlatformsWeb, Mobile, ApiWeb, Linux, macOS, Windows
Founded2010Unknown

Identical on both: free tier (No), user rating (Not yet rated), category (Business Intelligence).

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
  • Facebook

Only in Rill Data

  • Local development
  • Dashboards as code
  • Embedded DuckDB
  • Bring your own database
  • Alerts and scheduled reports
  • Embedded analytics

What people use each for

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

Domo

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

Rill Data

  • An analytics team that wants dashboard changes to go through code review rather than being edited in a web UInot Domo
  • Interactive exploration of event-scale data where a warehouse round trip per filter click is too slownot Domo
  • Embedding fast slice-and-dice dashboards into a product where the underlying store is already ClickHouse or Druidnot Domo
  • A data engineer prototyping a metrics layer locally on a laptop before committing to any cloud spendnot 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

Rill Data

  • The seat price of 20 dollars is misleading as a budget figure: Rill’s own calculator puts a small two-seat project at around 256 dollars a month, with compute making up the great majority.
  • Dashboards are defined in YAML and SQL, so business users cannot create or change one without a developer and a Git workflow, which stalls self-service adoption.
  • It is built for the explore-a-metric pattern and does not produce pixel-perfect financial or operational reports, so most organisations still need a second reporting tool.
  • AI tokens and API calls are quota-limited per seat, with API overage at a cent per call, so programmatic consumers can create an unbudgeted line item.
  • As a smaller vendor competing against Looker, Tableau and Power BI, the ecosystem of consultants, templates and trained analysts is thin, which raises the cost of hiring for it.

Pricing, plan by plan

Domo

$30000/year

No published plan breakdown. See the Domo review.

Rill Data

$20/month
  • Starter$20/month
    • Per seat, up to twenty seats
    • Three projects
    • Compute at 0.15 USD per compute unit hour
  • Growth$30/month
    • Per seat, up to one hundred seats
    • Ten projects
    • Compute at 0.20 USD per compute unit hour
  • Enterprise$undefined/year
    • Annual platform licence with negotiated capacity
    • Unlimited seats and projects
    • Dedicated infrastructure

Which should you pick?

Choose Domo if

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

Choose Rill Data if

  • You need local development.
  • You work on Web, Linux, macOS, Windows.
  • You also want dashboards as code.
Rill Data review

Questions people ask

Is Domo or Rill Data better?
Neither clearly leads. Domo starts at $30000/year and Rill Data at $20/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Domo or Rill Data?
Domo starts at $30000/year and Rill Data at $20/month.
Does Domo or Rill Data run on more platforms?
Domo runs on Web, Mobile, Api. Rill Data runs on Web, Linux, macOS, Windows.
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 Rill Data is typically brought in for.
What can Domo do that Rill Data cannot?
Domo covers 1000+ Connectors, Real-time Data, Mobile BI, Collaboration. Rill Data covers Local development, Dashboards as code, Embedded DuckDB, Bring your own database.

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
Rill Data: Is Rill open source?

The Rill developer binary is open source and free to run locally; Rill Cloud is the paid product.

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
Rill Data: How much does it actually cost?

Seats start at 20 USD per month, but hosted compute at 0.15 USD per compute unit hour typically dominates the bill. Bringing your own database removes the usage fee.

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
Rill Data: Can business users build dashboards?

Not directly. Dashboards are YAML and SQL under version control.

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
Rill Data: Which databases can back a deployed project?

DuckDB, ClickHouse, Druid, Pinot, Snowflake and others.

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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