Domo AI and Data Products Platform
What is Domo AI and Data Products Platform?
Cloud-based platform for the development of interactive web applications or dashboards, analyses, screen-oriented reports and data products.
Self-description of Domo AI and Data Products Platform
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Domo AI and Data Products Platform User Reviews & Experiences
The information contained in this section is based on user feedback and actual experience with Domo AI and Data Products Platform.
The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.
Who uses Domo AI and Data Products Platform in a BI & analytics context and how
Why users buy Domo AI and Data Products Platform and what problems they have using it
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Full user reviews and KPI results for Domo AI and Data Products Platform
All key figures for Domo AI and Data Products Platform at a glance.
- Get independent information on software solutions, market developments and trends in data, analytics, business intelligence, data science and corporate performance management.
- Make data & analytics decisions based on numbers, data, facts and expert knowledge
- Access to all premium articles and all our research, including all software comparison studies, scores and surveys.
- Unlimited access to the BARC media library
- Consume unlimited content anywhere
Individual user reviews for Domo AI and Data Products Platform
Number of employees
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What do you like best?
What I like most about Domo is its ease of access and visual presentation. The platform is browser-based, relatively easy for non-technical users to navigate, and allows the creation of visually appealing dashboards that are easy to share with stakeholders. It works well for top-level reporting and storytelling, especially when the underlying data has already been prepared and structured upstream.
What do you like least/what could be improved?
The main limitations of Domo are related to data modeling, flexibility, and scalability: Domo does not support a true data model or relationships between data sources, which makes cross-channel or multi-source analysis weak. Visualizations can only be built on one dataset at a time; datasets cannot be truly combined within the same chart. Data transformations are very limited once data is ingested. The so-called Magic ETL offers only basic operations (similar to simple lookups), with no real calculated dimensions or advanced metrics. Marketing KPIs (e.g. CTR, CPM, cost metrics) must be manually recreated for each new channel or provider, making maintenance costly over time. Report scheduling is not fully cloud-native and requires a local desktop tool, which reduces operational efficiency. Overall, Domo works better as a visualization layer than as a full analytics or intelligence platform.
What key advice would you give to other companies looking to introduce/use the product?
My main advice would be to clearly define how Domo fits into the broader data architecture before adopting it. Domo performs well if data is already clean, harmonized, and modeled upstream; the goal is executive reporting or dashboard consumption, not advanced analytics; and the number of data sources and KPIs is relatively stable. Companies should avoid using Domo as the core data integration or modeling layer. Instead, it should be positioned as a presentation and consumption tool, supported by a stronger ETL and data-modeling solution.
How would you sum up your experience?
Overall, my opinion of Domo is mixed. It is a good tool for visual reporting and accessibility, especially for business users, but it lacks the depth required for advanced, scalable, cross-channel analytics. Its value decreases as data complexity grows, particularly in marketing and omnichannel environments where data relationships and metric standardization are critical.
Number of employees
Industry
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What do you like best?
Domo is very easy to use and has a low technical barrier, allowing users to get up to speed quickly.
What do you like least/what could be improved?
Their pricing structure is a mess and overly expensive.
What key advice would you give to other companies looking to introduce/use the product?
It’s a good tool, but expect a high bill.
How would you sum up your experience?
Neutral. It’s a good product, but the company is not run very well.
Number of employees
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What do you like best?
I love that I am able to transfer it to Excel, sort the data that I do not need, and send out the info I do need.
What do you like least/what could be improved?
I do not like that I have to save to Excel to sort or filter the data sheets. I would like to be able to sort the data myself. It would also be beneficial to delete the names of some of the people who do not work here anymore.
What key advice would you give to other companies looking to introduce/use the product?
I would say it is helpful and can give you information on the resources you use.
How would you sum up your experience?
It is helpful!
Number of employees
Industry
Source
What do you like best?
Ease of use and intuitive design for builders and end users.
What do you like least/what could be improved?
Better consumption-based pricing.
What key advice would you give to other companies looking to introduce/use the product?
Keep it organized with good governance practices (as with all reporting tools).
How would you sum up your experience?
Innovative company focused on ease of use and AI growth.
Number of employees
Industry
Source
What do you like best?
Capabilities with Magic ETL.
What do you like least/what could be improved?
Dataset views and worksheets.
What key advice would you give to other companies looking to introduce/use the product?
Dedicated personnel for training, learning environments, etc.
How would you sum up your experience?
It's decent.
Number of employees
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What do you like best?
I value the innovation and responsiveness of the company. I feel the product team always has one ear open to what users are asking for. There are always new features being pushed out, and each one enhances the user experience significantly. For example, six months ago, I would say a feature that needed improvement was the navigation. It was challenging to find dashboards you had created previously, and even harder to share all the resources available to teams who weren't always in Domo without bombarding them with links to bookmark. However, Domo introduced cleaner navigation and a new workspace feature that allows you to pin internal and external links in one place. This one update improved the collaboration capability and central hub aspect of Domo. I feel heard by the company. I feel that if I encountered an issue, I could note it in the Domo forums and feel like my input is being considered and, with enough support from other users, may make it into one of their development sprints.
What do you like least/what could be improved?
While minor, one of the features that always gives me a hard time is chart customization. There is less flexibility for making tweaks to the visuals that would enhance them slightly, especially for a client report. For example, the labels in bar charts only have preset settings: top inside, bottom inside, center, outside. Sometimes, if you have multiple labels, they can overlap, and you just want to move one slightly so they don't. There is no option for this. The only solution is a switch to toggle whether labels can overlap or not.
What key advice would you give to other companies looking to introduce/use the product?
I would advise companies to have a strategy for their data sources and discuss how to streamline them to save on credits and limit duplicative views of very similar datasets.
How would you sum up your experience?
I generally enjoy it very much.
Number of employees
Industry
Source
What do you like best?
Ease of use, the ability for non-programmers to create data transformations and dashboards, and a short time from data to visualization.
What do you like least/what could be improved?
There are so many features; I would like examples of when and where to use them.
What key advice would you give to other companies looking to introduce/use the product?
Domo is a game changer. Fastest BI tool I've ever used. Analysis and visualization are built in.
How would you sum up your experience?
Love it. I can’t say enough good things about the tool or the support structure behind it.






