Alteryx Designer vs Spring Cloud Data Flow comparison

Alteryx and Broadcom are both solutions in the Data Integration category. Alteryx is ranked #16 with an average rating of 7.2, while Broadcom is ranked #20 with an average rating of 7.8. Alteryx holds a 1.5% mindshare in DI, compared to Broadcom’s 1.1% mindshare. Additionally, 90% of Alteryx users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

Alteryx Designer

Read 31 Alteryx Designer reviews

3,194 Views
2,970 Comparison Views

90% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

3,055 Views
1,436 Comparison Views

88% willing to recommend

Alteryx Designer

Spring Cloud Data Flow

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Spring Cloud Data Flow and Alteryx Designer compete in the data integration and processing space. Spring Cloud Data Flow has an edge in cost efficiency, while Alteryx Designer leads with advanced features justifying a higher price.

Features: Spring Cloud Data Flow emphasizes stream processing, scalability, and integration flexibility. Alteryx Designer offers intuitive drag-and-drop functionality, powerful data preparation, blending, and comprehensive analytics tools.

Room for Improvement: Spring Cloud Data Flow could improve its user interface and offer more intuitive tools for non-developers. It may also benefit from enhanced data preparation features. Alteryx Designer would benefit from reducing its learning curve for complex analytics and offering more robust community support. It might also improve on its data integration capabilities beyond its existing offerings.

Ease of Deployment and Customer Service: Spring Cloud Data Flow seamlessly integrates into existing environments, supported by strong community resources. Alteryx Designer offers simpler deployment and dedicated customer support, facilitating a smoother start for teams.

Pricing and ROI: Spring Cloud Data Flow provides a cost-effective solution with lower setup costs, appealing to budget-conscious businesses. Alteryx Designer, though more expensive, offers a strong ROI through its extensive analytics capabilities and time-saving features, justifying its higher price.

To learn more, read our detailed Alteryx Designer vs. Spring Cloud Data Flow Report (Updated: December 2025).

Buyer's Guide

Alteryx Designer vs. Spring Cloud Data Flow

December 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

Alteryx Designer

Ranking in Data Integration

16th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Spring Cloud Data Flow

Ranking in Data Integration

20th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (11th)

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Alteryx Designer is 1.5%, down from 2.8% 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 Market Share Distribution
Product	Market Share (%)
Alteryx Designer	1.5%
Spring Cloud Data Flow	1.1%
Other	97.4%

Data Integration

Featured Reviews

Prince Raju

Lead Data Analyst at Ernst & Young

Powerful tool for cleansing, formatting, and transforming data – especially unstructured files

When you open a raw Excel file, it can be hard to look at everything in detail. Alteryx makes it much easier to go through the data, summarize it, and use different tools for analysis. So, Alteryx Designer have significantly reduced the time I spend on data analysis tasks. Moreover, the drag-and-drop interface of Alteryx Designer improved our overall workflow.

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Lipika Naik

Senior Software Engineer at QBE Regional Insurance

Provides ease of integration with other cloud platforms

Spring Cloud Data Flow is a useful product if I consider how there are different providers with whom my company had to deal, and most of them offer cloud-based products. I can't explain any crucial circumstances where the product's integration capabilities were helpful, but the aforementioned details explain the scenario for which I used the solution. I was only involved with the development of the product and not with the data pipeline configuration phase. The use of Spring Cloud Data Flow greatly impacted projects' time to market since our company's intention was to actually deploy and ensure that the payment platform integrated with it, which was an easy process. The product's user interface was very intuitive. The tool was deployed in multiple environments, but I am not sure about the production. From the time I started taking up the job in my current organization, I saw that we have deployed the tool in multiple environments wherein the number of users extensively used the product in the UAT environment, which is one of the most stable environments. There were 20 different methods to test the tool. I wouldn't be able to tell you the production details of the tool as I was more part of the production deployment, but I can say that it was deployed with the intent of making it available for 10,000 users. Those who plan to use the product should enjoy the flexibility of the solution. I rate the tool a nine out of ten.

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Quotes from Members

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

Pros

"One of the things I like about Alteryx Designer is how easy it is to connect numerous data inputs, including API connectors. This helps tremendously in reducing the time required to extract data from systems like SAP that don't have straightforward connectivity options."

"The features I found most valuable are the preparation features – the Join and the Transform."

"The most valuable features are the integrated properties and integrated connectivity."

"Alteryx Designer is a tool that is pretty much easy to install."

"The main valuable aspect is the simplicity of use across all features."

"It helps them to create customized workflows, transform data, perform calculations, and consolidate multiple data sources into a target database."

"For my daily analytics needs, the entire Alteryx Designer platform is beneficial."

"Alteryx Designer offers a drag-and-drop interface, making it highly user-friendly. Unlike Python and Apache Airflow, which require coding, Alteryx allows users to accomplish tasks without any programming knowledge. Its simplicity makes it accessible to anyone, even those without coding experience, and this ease of use is one of Alteryx's key advantages."

More Alteryx Designer pros

"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."

"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."

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

"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 dashboards in Spring Cloud Dataflow are quite valuable."

"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 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 product is very user-friendly."

Cons

"Improving the key-based sign-on process and making it more user-friendly would be a benefit."

"For smaller clients with ten to 15 employees, Alteryx can be expensive. The server capabilities are costly too. The technical support could also improve by being quicker in response times."

"The actual usage part of it needs to be explained more. It's too vague right now."

"Alteryx Designer overall should be easier to use."

"Based on my experience, the tool could be improved by providing sample reports or pre-configured workflows tailored to specific industries, like finance. It needs to integrate an AI chatbot as well."

"The major concern in Alteryx Designer stems from the high costs attached to the product."

"Its cost can sometimes be a drawback."

"Optimizing processing times is one area I would like to see improved in Alteryx Designer. Sometimes, the workflows take an extremely long time to run. There are days when I have had to wait two to three hours for a single process to complete. There needs to be a functionality to split the processes."

More Alteryx Designer cons

"The solution's community support could be improved."

"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 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."

"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."

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

"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."

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

Pricing and Cost Advice

"Each license is something like $4,000."

"The product is a bit expensive, it should be looked into."

"Alteryx Designer is a very expensive solution."

"It is too expensive for our country. We are a small country, so it is too difficult to sell this solution. With Alteryx Designer, if you want to automate the data and run the flows, you have to pay more money. We were trying to automate the flows, and we found out that people have to pay 600 more for this feature, which makes it even more expensive. We are a partner for Tableau, and we are working with Tableau Prep, which is like a mini Alteryx. In Tableau Prep, you can drag and drop and make new connections with the different data sources. You can make all the connections. You can also publish a source. You don't have to pay more money with Tableau. You pay like $5 per user per month to access it."

"The solution is expensive. It has license fees, which are renewable every year."

"The tool is priced high."

"Alteryx Designer is an expensive solution."

"The licenses are expensive, making it difficult to consider acquiring additional licenses to the existing ones."

More Alteryx Designer pricing and cost advice

"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

Financial Services Firm

21%

Manufacturing Company

11%

Computer Software Company

Energy/Utilities Company

Financial Services Firm

20%

Computer Software Company

13%

Retailer

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	3
Large Enterprise	17

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

Questions from the Community

What do you like most about Alteryx Designer?

When you open a raw Excel file, it can be hard to look at everything in detail. Alteryx makes it much easier to go through the data, summarize it, and use different tools for analysis.

See all answers

What is your experience regarding pricing and costs for Alteryx Designer?

It's cheaper than Palantir, but even Alteryx is too much for small clients. It is expensive, considering the server capabilities.

See all answers

What needs improvement with Alteryx Designer?

For smaller clients with ten to 15 employees, Alteryx can be expensive. The server capabilities are costly too. The technical support could also improve by being quicker in response times.

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

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Product Reports

Buyer's Guide

Alteryx Designer

January 2026

Download Alteryx Designer product report

Buyer's Guide

Spring Cloud Data Flow

January 2026

Download Spring Cloud Data Flow product report

Overview

Information not available

Alteryx

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

Buyer's Guide

Alteryx Designer vs. Spring Cloud Data Flow

December 2025

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