Softwr

Business Intelligence · head to head

Domo vs DuckDB

Domo logo

Domo

Business Intelligence

Business cloud for modern enterprises

From
$30000/year
Rated
-
DuckDB logo

DuckDB

Database & Data Management

Fast in-process analytical database

From
Free
Rated
-

The short version

  • Only DuckDB 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; DuckDB client-server setup remains in beta and not recommended for production distributed scenarios
  • They diverge on capability: Domo covers 1000+ Connectors, DuckDB covers In-process Execution.

Where they differ

Only the attributes on which Domo and DuckDB actually diverge.

Attributes where Domo and DuckDB differ
AttributeDomoDuckDB
Starting price$30000/yearFree
Pricing modelUnknownopen-source
Free tierNoYes
PlatformsWeb, Mobile, ApiLinux, macOS, Windows, WebAssembly
CategoryBusiness IntelligenceDatabase & Data Management
Founded20102019

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 Domo

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

Only in DuckDB

  • In-process Execution
  • Columnar Storage
  • Vectorized Execution
  • Rich SQL Support
  • Parquet Support
  • CSV/JSON Import
  • Zero Dependencies
  • Python

What people use each for

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

Domo

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

DuckDB

  • Analytics and data warehousingnot Domo
  • OLAP queries and data explorationnot Domo
  • Data science and machine learning workflowsnot Domo
  • Multi-format data ingestion and processingnot 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

DuckDB

  • Client-server setup remains in beta and not recommended for production distributed scenarios

Pricing, plan by plan

Domo

$30000/year

No published plan breakdown. See the Domo review.

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Which should you pick?

Choose Domo if

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

Choose DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, WebAssembly.
  • You also want columnar storage.

Questions people ask

Is Domo or DuckDB better?
Neither clearly leads. Domo starts at $30000/year and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Domo or DuckDB?
DuckDB has a free tier; the other does not. Paid plans start at $30000/year for Domo and Free for DuckDB.
Does Domo or DuckDB run on more platforms?
Domo runs on Web, Mobile, Api. DuckDB runs on Linux, macOS, Windows, WebAssembly.
Can I use DuckDB for free?
Yes. DuckDB 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 DuckDB is typically brought in for.
What can Domo do that DuckDB cannot?
Domo covers 1000+ Connectors, Real-time Data, Mobile BI, Collaboration. DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL 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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