Domo vs Spring Cloud Data Flow comparison

Domo and Broadcom are both solutions in the Data Integration category. Domo is ranked #19 with an average rating of 7.8, while Broadcom is ranked #31 with an average rating of 7.5. Domo holds a 0.7% mindshare in DI, compared to Broadcom’s 1.0% mindshare. Additionally, 85% of Domo users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

Domo

Read 48 Domo reviews

9,987 Views
1,498 Comparison Views

85% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

4,388 Views
2,457 Comparison Views

88% willing to recommend

Domo

Spring Cloud Data Flow

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Domo and Spring Cloud Data Flow both compete in the data analytics and workflow management category. Domo is preferred for ease of use and user-friendly visualizations, whereas Spring Cloud Data Flow is advanced in handling complex data workflows and integrations.

Features: Domo offers an integrated platform with multiple analytics tools, ease of data access across devices, and rapid prototyping. Its simplicity allows non-technical users to engage with data visualizations. Spring Cloud Data Flow excels in stream processing and orchestrating complex data workflows. It integrates easily with other cloud services, providing a comprehensive environment for data handling.

Room for Improvement: Domo needs enhancements in visualization capabilities, technical support, and data source integrations. Users desire more control over data refreshes and advanced customization. Spring Cloud Data Flow would benefit from better documentation, expanded language support, and improved community involvement, focusing on user support and resource management for complex setups.

Ease of Deployment and Customer Service: Domo is favored in hybrid cloud deployments but receives mixed reviews in customer service, with strong initial support that may wane over time. Spring Cloud Data Flow often faces challenges in user support and technical setup, though primarily used in private environments.

Pricing and ROI: Domo is considered expensive yet valuable due to its extensive features and performance impact, offering a high ROI with process automation. Spring Cloud Data Flow, being open-source, provides cost-effective solutions with flexibility in stream processing, appealing to budget-conscious users needing robust data workflows.

To learn more, read our detailed Domo vs. Spring Cloud Data Flow Report (Updated: August 2026).

Buyer's Guide

Domo vs. Spring Cloud Data Flow

August 2026

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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

19th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (6th), Business Performance Management (7th), Reporting (4th), Data Visualization (7th)

Spring Cloud Data Flow

Ranking in Data Integration

31st

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (17th)

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Domo is 0.7%, up from 0.6% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.0%, down from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Domo	0.7%
Spring Cloud Data Flow	1.0%
Other	98.3%

Data Integration

Featured Reviews

Ruban Prasanna Dass SP

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.

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NitinGoyal

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.

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

"With ETL transformations in SQL lists, you often write a lot of queries. You have to build a bunch of code for the data. With Domo, one of the pieces we have is Magic ETL. In Magic ETL, you don't need to write code. You don't need to be a specialist in SQL or any database query language."

"The web interface is easy to use and intuitive."

"The main reason my company decided to use Domo is that it's a one-stop shop BI tool, so it solves requirements for all customers."

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

"Distribution of visualizations via a web portal is valuable, but really is basic table stakes."

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

"The one thing that stands out in case of Domo is that you have everything under the same tool; you don't have to log in into any particular cloud services to have access to that platform as it's just a web-hosted platform and everything related to data engineering, data science, ETL, everything comes under the same umbrella."

"The most ideal aspect about using Domo is it can accommodate a huge amount of data, and we loved the number of sources it provides in a single platform, such as the capability to connect it."

More Domo pros

"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."

"The most valuable feature is real-time streaming."

"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."

"The ease of deployment on Kubernetes, the seamless integration for orchestration of various pipelines, and the visual dashboard that simplifies operations even for non-specialists such as quality analysts."

"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."

"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 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."

More Spring Cloud Data Flow pros

Cons

"Domo has moved to a consumption pricing model, which can be both advantageous and challenging."

"In Domo, sometimes it takes too much time to upload data. If improvements can happen in this area, that would be better."

"It was pretty expensive. The cost didn't justify keeping it around when you look and compare it to other existing tools in the business."

"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."

"The UI has issues with some browsers and small glitches that hinder performance or functionality."

"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."

"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."

"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."

More Domo cons

"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."

"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."

"Some of the features, like the monitoring tools, are not very mature and are still evolving."

"The visual user interface could use some help; it needs improvement."

"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 solution's community support could be improved."

"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."

More Spring Cloud Data Flow cons

Pricing and Cost Advice

"The solution is expensive compared to one of its competitors."

"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."

"Domo is slightly costly but it's much cheaper than some."

"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."

"The pricing differs from customer to customer, depending on the package."

"I think it is reasonable."

"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."

More Domo pricing and cost advice

"The solution provides value for money, and we are currently using its community edition."

"This is an open-source product that can be used free of charge."

"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

Financial Services Firm

University

Outsourcing Company

Financial Services Firm

17%

Computer Software Company

10%

Retailer

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	17
Midsize Enterprise	13
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	5

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.

See all answers

What needs improvement with Domo?

I'm not sure how Domo can be improved overall, as it's a really good experience.

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

Comparisons

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Compared 2% of the time

Qlik Sense vs Domo

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Product Reports

Buyer's Guide

Domo

August 2026

Download Domo product report

Buyer's Guide

Spring Cloud Data Flow

July 2026

Download Spring Cloud Data Flow product report

Also Known As

corda

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Overview

Domo provides self-service BI, enabling users to generate reports without needing a data warehouse. Its cloud-based nature enhances accessibility and performance, while offering customizable dashboards for data-driven decision-making.

Domo stands out for its robust data integration, featuring Magic ETL to streamline processes. Its AI-driven insights, extensive data connectors, and collaboration tools promote secure sharing and analytical proficiency. Although users note room for improvement in visualization, pricing, and data integration, its capabilities in generating executive dashboards and unified analytics remain prominent. Performance and user experience enhancements are desired, including improved support for large data volumes and richer data transformation tools.

What are the key features of Domo?

Self-Service BI: Generate reports without a data warehouse for simplified analysis.
Data Integration: Leverage Magic ETL for easy data management.
Customizable Dashboards: Tailor dashboards to specific needs.
AI-Driven Insights: Gain automated insights for better decision-making.
Extensive Data Connectors: Access a wide range of data sources.

What benefits should users look for when evaluating Domo?

Accessibility: Cloud-based structure ensures data access anywhere.
Performance: Enhanced performance with seamless data processing.
Collaboration: Facilitate secure sharing and collaboration for collective insights.
Decision-Making: Enable data-driven decisions with real-time analytics.

In industries like finance, marketing, project management, and retail, organizations use Domo for crafting executive dashboards, integrating data sources, and conducting advanced analytics. Its capabilities allow them to transform data into insightful dashboards, aiding in performance tracking and actionable insights.

Domo

Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

Broadcom

Sample Customers

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

Information Not Available

Buyer's Guide

Domo vs. Spring Cloud Data Flow

August 2026

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