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Domo vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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
15th
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
48
Ranking in other categories
BI (Business Intelligence) Tools (4th), Business Performance Management (5th), Reporting (4th), Data Visualization (5th)
Spring Cloud Data Flow
Ranking in Data Integration
23rd
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (10th)
 

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Domo is 0.7%, up from 0.4% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Domo0.7%
Spring Cloud Data Flow1.1%
Other98.2%
Data Integration
 

Featured Reviews

RD
Assistant Manager at a tech services company with 10,001+ employees
Have improved workflow efficiency through custom reports but encountered formatting limitations
The downsides of Domo are that we don't have a feature in the same column. When data comes in a time format, text format, and number format, we cannot segregate and create conditional formatting in that column. If in the future they develop this feature, it will benefit more users. Domo requires maintenance on my end, such as updates. I am maintaining some dashboards on a weekly basis and monthly basis daily reports. Because we need to upload in SFTP, we cannot schedule or auto-schedule due to rate purposes. We manually handle the data sets. If there were an option to reduce the cost, it would be easier to access.
NitinGoyal - PeerSpot reviewer
Engineering Lead at Naukri.com
Has a plug-and-play model and provides good robustness and scalability
The solution's community support could be improved. I don't know why the Spring Cloud Data Flow community is not very strong. Community support is very limited whenever you face any problem or are stuck somewhere. I'm not sure whether it has improved in the last six months because this pipeline was set up almost two years ago. I struggled with that a lot. For example, there was limited support whenever I got an exception and sought help from Stack Overflow or different forums. Interacting with Kubernetes needs a few certificates. You need to define all the certificates within your application. With the help of those certificates, your Java application or Spring Cloud Data Flow can interact with Kubernetes. I faced a lot of hurdles while placing those certificates. Despite following the official documentation to define all the replicas, readiness, and liveliness probes within the Spring Cloud Data Flow application, it was not working. So, I had to troubleshoot while digging in and debugging the internals of Spring Cloud Data Flow at that time. It was just a configuration mismatch, and I was doing nothing weird. There was a small spelling difference between how Spring Cloud Data Flow was expecting it and how I passed it. I was just following the official documentation.

Quotes from Members

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

Pros

"There are many valuable features, especially the charts and graphs that make it easy to pass information to people that are not really technical."
"The ease of graphing is a great feature, as it takes the pivot out of pivot tables because once the parameters are set up, the same graphs will continue to be populated based on the new information so there is no need to keep creating graphs."
"Domo's real-time insights and customizable alerts are one of their better features."
"I think the ROI was a month and a half, it was really fast."
"With Domo, we can do everything in one place; we don't need a separate database, we can do ETL and the visualization in one location, it is completely cloud-based, and since we are a healthcare provider, we chose the secure PSI-certified instance of the public cloud."
"It has the best GUI. And it already has an ETL tool embedded in it..."
"The pipeline features and data ingestions in Domo are quite good."
"We have absolutely seen return on our investment."
"The most valuable feature is real-time streaming."
"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"The dashboards in Spring Cloud Dataflow are quite valuable."
"The product is very user-friendly."
"Overall, Spring Cloud Data Flow is a really good solution and a lot cheaper than a lot of infrastructure provided by big companies like Google or Amazon."
"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."
"The solution's most valuable feature is that it allows us to use different batch data sources, retrieve the data, and then do the data processing, after which we can convert and store it in the target."
"The most valuable feature is real-time streaming."
 

Cons

"Domo is losing out in the pricing area. We tried pitching Domo to many of our clients, and they liked it initially, but the pricing point was something they were not comfortable with."
"It's quite slow. We have about 2,000,000 rows of data. Creating certain reports takes almost a couple of minutes, which should not be the case."
"One of the improvements that could be made is related to improved storage options."
"When you're exporting a graph out of Domo — suppose it is in the form of a donut chart or it is in form of a stack — the data comes out in tabular format, not as a graph. When exporting the data, I would like them to create a tab for graphs and another tab with the data in tabular format."
"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."
"There's a learning curve before you can get used to the solution."
"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."
"The tool is rather pricey for what you get, especially if you use lots of API-based data sources (since in general you have to go through their consulting arm to set up new sources or arrange for new queries to existing after initial set up at ~$225 per hour)."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"The documentation on offer is not that good."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"The solution's community support could be improved."
"The visual user interface could use some help; it needs improvement."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
 

Pricing and Cost Advice

"The solution is expensive compared to one of its competitors."
"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."
"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."
"We are making money from Domo, and all our clients are happy with the information that they receive from it."
"Domo is slightly costly but it's much cheaper than some."
"It is on the pricier end."
"I think it is reasonable."
"I believe that the investment in Domo was worthwhile because it allowed for the organization to jump in quickly, with little training. There are different plans available based on the requirements."
"If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."
"This is an open-source product that can be used free of charge."
"The solution provides value for money, and we are currently using its community edition."
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Top Industries

By visitors reading reviews
University
9%
Manufacturing Company
9%
Financial Services Firm
7%
Computer Software Company
6%
Financial Services Firm
17%
Computer Software Company
12%
Retailer
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise13
Large Enterprise20
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

What is your experience regarding pricing and costs for Domo?
My experience with pricing, setup cost, and licensing is that there was very little.
What needs improvement with Domo?
I'm not sure how Domo can be improved overall, as it's a really good experience.
What is your primary use case for Domo?
My main use case for Domo involves building different tables and different cards so I can look at different data points. A quick specific example of a table I have built or a data point I often loo...
What needs improvement with Spring Cloud Data Flow?
There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or r...
What is your primary use case for Spring Cloud Data Flow?
We had a project for content management, which involved multiple applications each handling content ingestion, transformation, enrichment, and storage for different customers independently. We want...
What advice do you have for others considering Spring Cloud Data Flow?
I would definitely recommend Spring Cloud Data Flow. It requires minimal additional effort or time to understand how it works, and even non-specialists can use it effectively with its friendly docu...
 

Also Known As

corda
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Overview

 

Sample Customers

Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!
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Find out what your peers are saying about Domo vs. Spring Cloud Data Flow and other solutions. Updated: March 2026.
885,376 professionals have used our research since 2012.