Business Intelligence · head to head
Domo vs DuckDB

Domo
Business Intelligence
Business cloud for modern enterprises
- From
- $30000/year
- Rated
- -

DuckDB
Databases
MIT-licensed analytical SQL database that runs inside your process, with no server, no dependencies and one writer at a time.
- 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 a database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
- They diverge on capability: Domo covers 1000+ Connectors, DuckDB covers In-process execution.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Domo and DuckDB actually diverge.
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
Only in DuckDB
- In-process execution
- Vectorised columnar engine
- Direct file querying
- Zero dependencies
- Larger-than-memory queries
- MIT licence
- Postgres-flavoured SQL
- Extension ecosystem
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
- Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Domo
- Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Domo
- Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Domo
- Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot 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
- A database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
- There is no network protocol, authentication or user management, so exposing it to remote clients means writing and securing your own service around it.
- It is built for scans and aggregations, not for many small transactions, so a workload of high-frequency single-row inserts and updates performs badly compared with SQLite or Postgres.
- Storage files are backwards compatible but not forwards compatible, so a file written by a newer version cannot be read by an older one and every consumer of a shared file must be upgraded together.
- Query memory settings matter: some operations still need to hold significant state, so an under-configured memory limit turns a large join or a high-cardinality aggregation into a spill-heavy query or an out-of-memory failure rather than a slow success.
Pricing, plan by plan
Domo
$30000/yearNo published plan breakdown. See the Domo review.
DuckDB
FreeNo 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 vectorised columnar engine.
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, Vectorised columnar engine, Direct file querying, Zero dependencies.
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.
SourceDuckDB: Can multiple applications share one DuckDB database?
Not for writing. One process holds the database read-write; others may attach read-only and will not see later writes. Shared multi-writer access needs a different database or a table format with a catalogue.
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.
SourceDuckDB: Is it a replacement for a data warehouse?
For single-node analytical workloads up to a few hundred gigabytes it very often is. It is not a replacement when many concurrent users need a shared, governed, always-on service.
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.
SourceDuckDB: Do I have to load data into it?
No. It queries Parquet, CSV, JSON and Arrow in place, including on object storage. Its own storage format is optional and mainly useful when you want indexes, constraints and faster repeated access.
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.
SourceDuckDB: What is MotherDuck's relationship to it?
MotherDuck is a separate company offering a managed and hybrid service built on the DuckDB engine. DuckDB itself remains MIT-licensed and independent of it, with the IP held by the DuckDB Foundation.
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.
SourceDuckDB: Is it suitable for OLTP?
No. It is designed for analytical scans. For transactional workloads with frequent small writes, SQLite or Postgres is the right tool.
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.
SourceRelated pages
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