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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
20th
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 August 2025, in the Data Integration category, the mindshare of Spring Cloud Data Flow is 1.3%, 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 best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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 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 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."
"The most valuable feature is real-time streaming."
"The UI is very user-friendly."
"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 simplicity of the solution is great. The solution also offers excellent integration."
"The most valuables features are the relatively short learning curve, and the automation capabilities provided through the BIML add-in for SSDT."
"The initial setup was easy."
"The setup is straightforward. It's very easy to install."
"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."
"It has good data integration and good processes."
 

Cons

"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 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 is not an easy-to-use tool, so improvements are required."
"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."
"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."
"SSIS is cumbersome despite its drag-and-drop functionality. For example, let's say I have 50 tables with 30 columns. You need to set a data type for each column and table. That's around 1,500 objects. It gets unwieldy adding validation for every column. Previously, SSIS automatically detected the data type, but I think they removed this feature. It would automatically detect if it's an integer, primary key, or foreign key column. You had fewer problems building the model."
"SSIS can improve by the minimum code requirements in stored procedures and exporting data is difficult. They could make it easier, it should be as easy as it is to import data."
"Improvement as per customer requirements."
"Improving the login procedure would make our reporting easier on monitoring our ETL processes."
"Integration and the user interface are areas with certain shortcomings that require some improvements."
"We're in the process of switching to Informatica, and we need to work out data lineage and data profiling and to improve the quality of our data. SSIS, however, is not that compatible with Informatica. We managed to connect it to Informatica Metadata Manager, but we don't get good lineage, so we have to redo all our ETLs using the Informatica process in order to accept the proper data lineage."
"There were some issues when we tried to connect it to data storage. It was a connection issue."
"The creation of the measure in the DAC's model could be improved."
 

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."
"People have to opt for a perpetual-based licensing model."
"The solution comes free of cost."
"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."
"It would be beneficial if the solution had a less costly cloud offering."
"My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."
"All of my clients have this product included as part of their Microsoft license."
"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."
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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
27%
Computer Software Company
16%
Retailer
7%
Manufacturing Company
6%
Financial Services Firm
18%
Computer Software Company
11%
Government
8%
Healthcare 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: July 2025.
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