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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 (18th)
SSIS
Ranking in Data Integration
3rd
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 September 2026, in the Data Integration category, the mindshare of Spring Cloud Data Flow is 1.0%, down from 1.2% compared to the previous year. The mindshare of SSIS is 3.6%, down from 5.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SSIS3.6%
Spring Cloud Data Flow1.0%
Other95.4%
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.
Chris Farris - PeerSpot reviewer
Manager, Data Operations at a manufacturing company with 5,001-10,000 employees
User-friendly interface facilitates efficient data migration and reduces operational overhead
Its usability and ease of use are standout features. It is really easy to use - almost too easy at times. Users don't have to be experts to use their tool set and utilize the clicking mechanisms, drop down boxes, and other features to build a package and run it. The configuration is very easy and the system is very stable. I would rate it at a 10 as it is highly reliable; we have never had any problems with it. Very little maintenance is required on my side. While you need to keep the product up to date, the maintenance requirements are minimal. SSIS integrates with all Microsoft tools seamlessly. We have used it against Oracle, DB2 and SQL. It integrates and can move data around from any data platforms, making it very diverse in that standpoint. It is a very robust tool that can work with many data sources, and its main strength is that it is extremely easy to use.

Quotes from Members

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

Pros

"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."
"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 product is very user-friendly."
"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 dashboards in Spring Cloud Dataflow are quite valuable."
"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 best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"The most valuable thing is that it is easy to connect with Microsoft tools."
"I have never had a situation where a particular transformation was not possible in SSIS."
"The main value of any Microsoft product is the ease of use. You can achieve more with less time. That's what's beneficial for me. With many competitors, you might need to spend more time coming up with a solution because you have to focus on taking care of the product."
"We can connect with multiple data sources easily using an external connector in SSIS."
"Stability is rated at 10."
"Data Flows are the main component we use. These can range from a simple source to sink ETL, to many source to many sink dataflows."
"SSIS' most valuable feature is its reporting services."
"SSIS integrates well with SQL servers and Microsoft products, is a cheaper option than other ETL tools, has a lot of in-built transformation, and is easy to learn."
 

Cons

"I would improve the dashboard features as they are not very user-friendly."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"The documentation on offer is not that good."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"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 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."
"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 UI could use refinement."
"We'd like more integration capabilities."
"Generic processes should be used instead of custom code for each table."
"I would also like to see full integration with our BI because then our full load of data will be available in our organization. They should incorporate an ATL process."
"Sometimes, there are compatibility issues with some features."
"Improvement as per customer requirements."
"If you run SSIS from the local system, it will lag, but it will work properly if you host on the cloud somewhere."
"The security could be improved, as it is more important in our context."
 

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."
"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."
"People have to opt for a perpetual-based licensing model."
"We have an enterprise license for this solution."
"My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."
"SSIS is fairly well-priced - I would rate it at four out of five."
"t's incredibly cost effective, easy to learn the basics quickly (although like all ETL tools requires the traditional learning curve to get good at) and has an immense user base."
"This solution has provided an inexpensive tool, and it is easy to find experienced developers."
"All of my clients have this product included as part of their Microsoft license."
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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
16%
Computer Software Company
10%
Outsourcing Company
8%
Retailer
7%
Financial Services Firm
13%
Construction Company
8%
Outsourcing Company
8%
Manufacturing Company
7%
 

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: September 2026.
913,806 professionals have used our research since 2012.