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SSIS 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

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)
SSIS
Ranking in Data Integration
2nd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
76
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Spring Cloud Data Flow is 1.1%, down from 1.1% compared to the previous year. The mindshare of SSIS is 4.0%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SSIS4.0%
Spring Cloud Data Flow1.1%
Other94.9%
Data Integration
 

Featured Reviews

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.
reviewer2318280 - PeerSpot reviewer
Tech Lead at a consultancy with 11-50 employees
Reporting has become streamlined for year-end data checks but integration still needs improvement
When I talk about SQL Server, I am working with SSIS, the data integration tool. I am not entirely sure if I use SSIS as a library of transformations or if I personally work with an extensive library of transformations. I have integrated SSIS with SQL Server Management Studio, and I am very satisfied with the integration as it is integrated well. I am not using the debugging feature in SSIS because the developers would be the ones that would actually utilize it. I have noticed that in 2022, AI functionality has actually been implemented already. I would rate this review overall at a 7.

Quotes from Members

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

Pros

"The product is very user-friendly."
"The dashboards in Spring Cloud Dataflow are quite valuable."
"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."
"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 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."
"I like that this solution is very scalable, accommodating large datasets and various types of servers. It integrates with most common database servers and allows for customization through coding, including complex scripts. Compared to Alteryx Designer, SSIS offers more customization. Its data cleaning capabilities are highly accurate because we can run tests as data is loaded, ensuring it meets all requirements before reaching the final destination. The ability to write custom SQL and C# code within SSIS packages is its greatest feature."
"This solution is easy to implement, has a wide variety of connectors, has support for Visual Basic, and supports the C language."
"It is easy to set up the product."
"The reporting on the solution is perfect. I didn't expect to see reporting features, but they are great."
"SSIS is a tool which anybody can learn in no time."
"There are many good features in this solution including the data fields, database integration, support for SQL views, and the lookups for matching information."
"The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline."
"The data flow, which controls the data, including where to store it, is an excellent feature and is one of the most interesting points about SQL Integration Services."
 

Cons

"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"The visual user interface could use some help; it needs improvement."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"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."
"Spring Cloud Data Flow is not an easy-to-use tool, so 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."
"The solution's community support could be improved."
"A change in the metadata source cripples the whole ETL process, requiring each module to be manually reopened."
"Sometimes, there are compatibility issues with some features."
"I would rate it a seven out of ten. Not a ten because of the data extraction that crashed."
"SSIS is stable, but extensive ETL data processing can have some performance issues."
"Generic processes should be used instead of custom code for each table."
"The logging capabilities could be improved, particularly for error logging."
"This solution is stable, but the performance is not good."
"If you run SSIS from the local system, it will lag, but it will work properly if you host on the cloud somewhere."
 

Pricing and Cost Advice

"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."
"SSIS is a cheaper option compared to the cost of other ETL tools."
"We purchased the standard edition of SQL Server and SSIS came with it free of charge."
"The solution is economical. You don't have to worry about the pricing as long as you're installing both services on the same server."
"I'm not involved in licensing details, but SSIS provides value to our organization by simplifying data management tasks."
"It comes bundled with other solutions, which makes it difficult to get the price on the specific product."
"If you don't want to pay a lot of money, you can go for SSIS, as its open-source version is available. When it comes to licensing, SSIS can be expensive."
"It would be beneficial if the solution had a less costly cloud offering."
"People have to opt for a perpetual-based licensing model."
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Comparison Review

it_user90069 - PeerSpot reviewer
BI Expert at a healthcare company with 1,001-5,000 employees
Feb 20, 2014
Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities
Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Outsourcing Company
9%
Computer Software Company
9%
Comms Service Provider
7%
Financial Services Firm
13%
Manufacturing Company
8%
Outsourcing Company
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise19
Large Enterprise58
 

Questions from the Community

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...
Which is better - SSIS or Informatica PowerCenter?
SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...
What is your experience regarding pricing and costs for SSIS?
Pricing is pretty reasonable, so I would rate it at a 5. However, it could be a bit cheaper.
What needs improvement with SSIS?
SSIS could be integrated with more services, such as Power BI, to make the reporting structures more user-friendly. The initial setup for SSIS is somewhat complex in the beginning, but once you und...
 

Also Known As

No data available
SQL Server Integration Services
 

Overview

 

Sample Customers

Information Not Available
1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo
Find out what your peers are saying about SSIS vs. Spring Cloud Data Flow and other solutions. Updated: November 2026.
920,769 professionals have used our research since 2012.