Domo vs IBM Cloud Pak for Data comparison

Domo and IBM are both solutions in the Data Integration category. Domo is ranked #40 with an average rating of 7.3, while IBM is ranked #24 with an average rating of 7.7. Domo holds a 0.6% mindshare in DI, compared to IBM’s 2.0% mindshare. Additionally, 82% of Domo users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Domo

Read 38 Domo reviews

5,319 Views
266 Comparison Views

82% willing to recommend

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,349 Views
2,208 Comparison Views

86% willing to recommend

Domo

IBM Cloud Pak for Data

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Executive SummaryUpdated on Dec 19, 2024

Domo and IBM Cloud Pak for Data compete in the data integration and visualization space. Domo stands out for its accessibility to non-tech users, while IBM Cloud Pak for Data takes the lead with its advanced data analysis and machine learning capabilities.

Features: Domo offers robust data integration and visualization with user-friendly ETL tools and extensive data connectivity, making it accessible to users with varying technical skills. IBM Cloud Pak for Data excels in advanced analytics and machine learning capabilities, supported by strong data governance features like Watson Knowledge Catalog.

Room for Improvement: Domo needs better handling of large data volumes, improvement in visualization tools, and more effective data source combination. IBM Cloud Pak for Data lacks seamless integration with third-party services, needs better deployment flexibility, and should address initial infrastructure requirements and user experience issues.

Ease of Deployment and Customer Service: Domo's cloud-based setup simplifies deployment but can limit on-premises configurations. Customer service feedback is mixed, with varying levels of support responsiveness. IBM Cloud Pak for Data offers hybrid cloud deployment, providing flexibility but requires significant initial infrastructure investment. Customer support can experience delays, adding to user challenges.

Pricing and ROI: Domo is perceived as expensive for smaller companies but offers comprehensive features that can justify the cost. IBM Cloud Pak for Data is also costly, catering to larger enterprises needing advanced features. Both deliver substantial ROI in data management and analytics enhancements, though pricing remains a key consideration for buyers.

To learn more, read our detailed Domo vs. IBM Cloud Pak for Data Report (Updated: July 2025).

Buyer's Guide

Domo vs. IBM Cloud Pak for Data

July 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Domo

Ranking in Data Integration

40th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (13th), Business Performance Management (13th), Reporting (10th), Data Visualization (10th)

IBM Cloud Pak for Data

Ranking in Data Integration

24th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of Domo is 0.6%, up from 0.1% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 2.0%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Sumit Chakraborty

Vice President at Indium Software - Independent Software Testing Company

Fast installation, reliable, with proven results for small to mid-size companies

The scalability is excellent. We have input close to fifty billion rows in Domo, and this is where we saw the cards winded in pretty slowly. So we had a performance issue there, but say maximum up to twenty-five to thirty billion, this product is flawless. But when we talk about big data analytics with too many self-service components, this is where we see some performance depreciation. We have more than two hundred using the solution.

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Michelle Leslie

Data asset management engineer at a tech services company with 1-10 employees

Starts strong with data management capabilities but needs a demo database

What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated. There are so many components to data management, and more often than not, people understand one thing really well. They may understand DataStage and how to move data around, but they do not see the impact of moving data incorrectly. They also do not see the impact of everyone understanding a piece of data in the same way. I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in. It would be great if Cloud Pak, from a data modeling point of view, allowed us to import our PDMs, for example. It would be ideal to import and create business terms in Cloud Pak. The PEA would be great to create the technical data. The association between the business and the technical metadata could then be automated by pulling it through from your ACE models. The data modeling component is available in Cloud Pak. Additionally, when it comes to Cloud Pak, even though it has the NextGen DataStage built into it, there is Cloud Pak for data integration as well. Currently, I do not think we have a full enough understanding of how CP4D and CP4I can enhance each other.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The ETL tools they have in Redshift are pretty awesome... I can work in Redshift to get the data from AWS and work in Redshift, in Domo, to create Transforms and the data structure we need..."

"All our client SLAs and daily and weekly dashboards are tracked on Domo."

"Using the "cards" which function as preconfigured reports or views. I use many of them simultaneously on an organized page, with filters that allow me to see high-level information as well as subsets across the dataset, in a few clicks. Many Excel-challenged users love to use this product for its simplicity."

"The best thing is that the data storage is pretty much free. I can store as much data as I want, from different sources."

"In general, Domo is very powerful and very easy to use, relatively speaking."

"The pipeline features and data ingestions in Domo are quite good."

"Domo is a local company, and I have found it to be rock solid."

"It has the best GUI. And it already has an ETL tool embedded in it..."

More Domo pros

"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."

"Scalability-wise, I rate the solution a nine or ten out of ten."

"Cloud Pak is a very, very, very good system."

"Its data preparation capabilities are highly valuable."

"It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten."

"I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography."

"What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data."

"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources."

More IBM Cloud Pak for Data pros

Cons

"Their STK is not up to date and you can't access it on their website. They have a private STK to access resources in Domo."

"It's too early for me to say that something needs improvement, but there are times when there have been some flexibility issues with Domo... Tableau has a window function which can be integrated into a calculated field. That is missing in Domo so you have to make changes to the data set using ETL or SQL."

"In Tableau, you can create virtually any kind of visualization. Based on your creativity, you can create a visualization on a human body structure, you can create a visualization on anything that you want. But Domo is limited to a few kinds of visualization views: standard things like bar, pie, and some other charts... I would like to see them add new views for presenting the data in the visualization space."

"I would also like to see improvements to their drag and drop Magic ETL tool. You can drag and drop your ETL tool, but it doesn't really work for a large amount of data. It struggles with that. In a real-world application, where you're working with 30 million rows or 100 million rows, it takes a bit longer to process the data. If you do it in the Redshift ETL tool, using your own code, it's much faster."

"In terms of the analytics, there is quite a limited set of options when using Domo. Whereas with Tableau we can perform heavy statistical computations, Domo doesn't have that capability. Domo is quite limited on that side."

"Domo or any other BI tool has room for improvement, in particular, in the calculations. User-guided material isn't available for calculations. The tool, though user-friendly, could also be more customizable, especially when you're building a dashboard. Data integration could also be improved in Domo because even if the tool connects to multiple data sources, some hiccups still arise and need to be addressed."

"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."

"I would like to see better data intake."

More Domo cons

"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."

"The solution's catalog searching or map search needs to be improved."

"There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement."

"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."

"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."

"The solution's user experience is an area that has room for improvement."

"The technical support could be a little better."

"Cloud Pak would be improved with integration with cloud service providers like Cloudera."

More IBM Cloud Pak for Data cons

Pricing and Cost Advice

"No matter if you're a developer or an end-user, the licensing cost is around $12 per user per month."

"I'm not sure about pricing, but I believe Domo is quite costly. Prior to joining this organization, I had a Domo license with my former employer and I think that license was around $500 to $600 annually. That was for a single license. I think it varies, depending on the organization that is acquiring Domo."

"It is on the pricier end."

"It started out at about $600 a seat. However, then as we started to grow, it scaled that down to about $330 or 3$50 a seat, if I'm not mistaken."

"Domo has more than one licensing model. You can choose between the yearly subscription and the per-user licensing model. The tool is flexible in terms of licensing. As for the cost, Domo is an end-to-end BI tool so its pricing is a little higher than other players in the market, for example, non end-to-end BI tools such as OBIEE and Tableau specific only for business intelligence and presenting data to the end users, unlike Domo which handles everything. You want to get Domo as an integration tool, an ETL tool, etc. As the tool is end-to-end, its cost is always going to be a little higher than other BI tools, but it's worth paying because you won't have to spend extra for other activities. After all, Domo can do those activities."

"The price that they offered was around $200 per user license. It was pretty cheap at that time compared to other companies. I think they have revamped their pricing structure since then."

"They've built an "app economy." Some of them are really expensive, so they're not for startups and smaller companies. They're more like enterprise tools. We couldn't afford some of them, because they were so crazy expensive. But if I was working for a bank, insurance company, or some bigger corporation then, for sure, you could justify those prices... It was silly expensive back then and it probably still is, or even more expensive."

"For about 100 users our cost is $95,800."

More Domo pricing and cost advice

"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."

"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."

"I think that this product is too expensive for smaller companies."

"The solution is expensive."

"It's quite expensive."

"Cloud Pak's cost is a little high."

"The solution's pricing is competitive with that of other vendors."

"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."

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Top Industries

By visitors reading reviews

University

12%

Computer Software Company

12%

Financial Services Firm

Manufacturing Company

Financial Services Firm

30%

Manufacturing Company

11%

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Domo?

All our client SLAs and daily and weekly dashboards are tracked on Domo.

See all answers

What is your experience regarding pricing and costs for Domo?

Domo is expensive compared to other solutions.

See all answers

What needs improvement with Domo?

Domo is the premium option of all the choices. It has fancy features including a built-in chat program with the Buzz feature that no one uses. When I arrived about a year ago, we had 12 different w...

See all answers

What do you like most about IBM Cloud Pak for Data?

DataStage allows me to connect to different data sources.

See all answers

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?

The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem.

See all answers

What needs improvement with IBM Cloud Pak for Data?

See all answers

Comparisons

Tableau Enterprise vs Domo

Compared 36% of the time

Microsoft Power BI vs Domo

Compared 35% of the time

Palantir Foundry vs Domo

Compared 5% of the time

Databricks vs Domo

Compared 3% of the time

QlikView vs Domo

Compared 2% of the time

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IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 40% of the time

Denodo vs IBM Cloud Pak for Data

Compared 12% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data

Compared 10% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 9% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 8% of the time

More IBM Cloud Pak for Data Competitors

Product Reports

Buyer's Guide

Domo

August 2025

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Buyer's Guide

IBM Cloud Pak for Data

August 2025

Download IBM Cloud Pak for Data product report

Also Known As

corda

Cloud Pak for Data

Overview

Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.

Find more information on The Business Cloud Here.

Domo

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

IBM

Sample Customers

Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Buyer's Guide

Domo vs. IBM Cloud Pak for Data

July 2025

Free Report: Domo vs. IBM Cloud Pak for Data

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