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SSIS vs Spring Cloud Data Flow comparison

 

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
21st
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (9th)
SSIS
Ranking in Data Integration
2nd
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
74
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of Spring Cloud Data Flow is 1.2%, up from 0.9% compared to the previous year. The mindshare of SSIS is 7.4%, down from 7.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

NitinGoyal - PeerSpot reviewer
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.
Sean Achim - PeerSpot reviewer
Building impactful organizational KPIs with ease and precision
Stability is rated at 10. One other important aspect I appreciate is that SSAS is included in the base installation of SQL Server. Obviously, it requires installation, but it is readily available, which is a major strength. It's all about setting it up, configuring it, and then using it. If there are additional costs associated with it or separating it as a second product, that would be a disadvantage. The area of improvement is really in education. Microsoft is trying to push everything as a Power BI solution or trying to get people to solve the problems which are solved with SSAS in another space in Power BI, or in Power Pivot, is not enough. There's not enough marketing, conversation, and support around that space. As a result, we end up with people not understanding that you need to build your models correctly, and then they try to model everything inside of Power BI, or another visualization tool, without first building the data model. That leads people to consider alternate solutions because SAP and others argue that their whole thing is in memory, and they disseminate misleading information. Additionally, what would be very helpful is local user group developments, so getting people around the table and teaching them how to use it. That is the biggest problem; it's not the technology itself. The challenge lies in Microsoft withdrawing a lot of the qualifications and watering down its emphasis, leading to a perception that this is supposed to be an elite product.

Quotes from Members

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

Pros

"The dashboards in Spring Cloud Dataflow are quite valuable."
"The product is very user-friendly."
"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."
"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."
"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 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 simplicity of the solution is great. The solution also offers excellent integration."
"The most valuable aspect of this solution is that it is simple to use and it offers a flexible custom script task."
"Like most Microsoft products, SSIS is user-friendly and easy to use."
"It has the ability to be deployed into the cloud through Data Factory, and run completely as a software as a service in the cloud."
"It has a drag and drop feature that makes it easy to use. It has a good user experience because it takes into account your most-used tools and they're lined up nicely so you can just drag and drop without looking too far. It also integrates nicely with Microsoft."
"The interface is very user-friendly."
"The initial setup was easy."
"I have found its most valuable features to be its package management capabilities and the flexibility it offers in designing workflows."
 

Cons

"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"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."
"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."
"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."
"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."
"There were some issues when we tried to connect it to data storage. It was a connection issue."
"We'd like more integration capabilities."
"Video training would be a helpful addition."
"Improving the login procedure would make our reporting easier on monitoring our ETL processes."
"It would be nice if you could run SSIS on other environments besides Windows."
"There is connectivity with other databases, however, this is the most significant issue that has to be addressed."
"It should have other programming languages supported as well from a scripting perspective. Currently, only C# and VB.NET are supported, which limits it to .NET. It should have Java support as well."
"Microsoft's technical support has decreased in quality over the last few years, becoming less responsive and tending to pass problems on instead of solving them."
 

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."
"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."
"Based on my experience and understanding, Talend comes out to be a little bit expensive as compared to SSIS. The average cost of having Talend with Talend Management Console is around 72K per region, which is much higher than SSIS. SSIS works very well with Microsoft technologies, and if you have Microsoft technologies, it is not really expensive to have SSIS. If you have SQL Server, SSIS is free."
"The solution is available at a lesser price than that of Informatica."
"The solution comes free of cost."
"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."
"This solution has provided an inexpensive tool, and it is easy to find experienced developers."
"I'm not involved in licensing details, but SSIS provides value to our organization by simplifying data management tasks."
"SSIS is a cheaper option compared to the cost of other ETL tools."
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Comparison Review

it_user90069 - PeerSpot reviewer
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
26%
Computer Software Company
18%
Retailer
7%
Manufacturing Company
6%
Financial Services Firm
19%
Computer Software Company
11%
Government
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 do you like most about SSIS?
The product's deployment phase is easy.
What is your experience regarding pricing and costs for SSIS?
Utilizing SSIS involves no extra charges beyond the SQL Server license. It's an economical choice for my clients.
 

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: June 2025.
860,592 professionals have used our research since 2012.