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Domo vs Spring Cloud Data Flow comparison

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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
20th
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
48
Ranking in other categories
BI (Business Intelligence) Tools (6th), Business Performance Management (8th), Reporting (4th), Data Visualization (8th)
Spring Cloud Data Flow
Ranking in Data Integration
33rd
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (17th)
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Domo is 0.7%, up from 0.7% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, down from 1.1% 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

"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."
"In general, of all the reporting tools I've used in the past, I have never been able to rapidly report and build dashboards faster than I have with this tool."
"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..."
"The web interface is easy to use and intuitive."
"The ease of use, overall, is one of the valuable features, as is the ease of setup. Other than making sure IT was aware of, and agreed with our proceeding, we did not need IT for any of the setup. The ease of setup is more valuable than you might think. The ease of configuring the security policies, setting up groups, and setting up personalized data permissions so that only certain people can see certain data — that stuff is amazing... Domo really is extraordinarily full-featured, but it's really easy to use."
"The best feature of Domo is that it's completely on the cloud. I also like that you can handle data end-to-end without having to depend on multiple tools. Another specific feature I like the most about Domo is Magic ETL because, through it, you can do all your expression, transformation, and loading activities very smoothly. The tool also follows the lineage concept, so you can understand what kind of transformations took place on a particular data set. You can find end-to-end data from the source until it has become the final output or the final data set. Whatever happened to a particular data set, you can understand it through the Domo lineage, and that isn't possible in most of the tools available in the market, but in Domo, that's available. The tool is also solid and because it's on the cloud, it uses multiple data engineering in the backend and multiple algorithms in the back, behind the scenes, resulting in a great performance. For example, if an end user such as the CEO or COO opens a report or the dashboard and it takes more than ten seconds, the end user won't be interested in looking at that report or dashboard, but Domo enables better performance and there's usually no performance issues from that tool."
"The user interface is quite good."
"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."
"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 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."
"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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 most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"This product will assist us in saving costs in many ways: No longer need to continue paying high fees for proprietary software, reduce the number of software engineers needed to support the product, and achieve faster time to market by using this product for our middleware."
"The dashboards in Spring Cloud Dataflow are quite valuable."
 

Cons

"In Domo, sometimes it takes too much time to upload data. If improvements can happen in this area, that would be better."
"It's quite slow. We are using about 2,000,000 rows of data. Creating certain reports takes almost a couple of minutes, which should not be the case."
"Domo has moved to a consumption pricing model, which can be both advantageous and challenging."
"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."
"If your ETL runs more than 24 hours, it always fails because we are logging a lot of historical data, and there is a restriction on the amount of data (in rows) that you can run. The technical support has not found a solution for this yet."
"Creating tables - In the current table feature, all of the line items are just that, line items."
"I would like to be able to drill down more when there is a particular area where there is a problem. I don't clearly see that in Domo at the moment."
"I would like to see more flexibility in their pricing structure."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"I would improve the dashboard features as they are not very user-friendly."
"The solution's community support could be improved."
"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."
"The visual user interface could use some help; it needs improvement."
"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 refreshing the dashboard."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
 

Pricing and Cost Advice

"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."
"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."
"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."
"Domo is slightly costly but it's much cheaper than some."
"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."
"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."
"We are making money from Domo, and all our clients are happy with the information that they receive from it."
"It is on the pricier end."
"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."
"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."
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Top Industries

By visitors reading reviews
Manufacturing Company
10%
Financial Services Firm
8%
Comms Service Provider
8%
Outsourcing Company
7%
Financial Services Firm
15%
Outsourcing Company
9%
Computer Software Company
9%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
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: November 2026.
920,769 professionals have used our research since 2012.