SSIS vs Spring Cloud Data Flow comparison

VMware and Microsoft are both solutions in the Data Integration category. VMware is ranked #21 with an average rating of 7.8, while Microsoft is ranked #3 with an average rating of 7.8. VMware holds a 1.2% mindshare in DI, compared to Microsoft’s 7.7% mindshare. Additionally, 88% of VMware users are willing to recommend the solution, compared to 79% of Microsoft users who would recommend it.

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

1,322 Views
923 Comparison Views

88% willing to recommend

SSIS

Read 74 SSIS reviews

11,026 Views
7,140 Comparison Views

79% willing to recommend

Spring Cloud Data Flow

SSIS

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Executive SummaryUpdated on Dec 19, 2024

SSIS and Spring Cloud Data Flow compete in the data integration and management category. Spring Cloud Data Flow seems to have the upper hand due to its flexibility and advanced data features.

Features: SSIS offers ETL solutions with minimal background knowledge, integrates well with SQL Server, provides strong ETL capabilities, and allows custom code with the Script task. Spring Cloud Data Flow supports real-time stream processing, microservices architecture for enhanced scalability, and seamless integration with cloud platforms.

Room for Improvement: SSIS could improve its scalability and flexibility in cloud environments and offer seamless cloud-native integration. Limited real-time data processing capabilities can be enhanced. Spring Cloud Data Flow may benefit from simpler deployment processes, enhanced user interface for non-experts, and more intuitive learning resources for new users.

Ease of Deployment and Customer Service: SSIS is easy to deploy within Microsoft ecosystems and benefits from Microsoft's comprehensive support. Spring Cloud Data Flow requires more complex deployments within cloud ecosystems but benefits from a microservices-based model, offering long-term flexibility though support may vary based on deployment.

Pricing and ROI: SSIS is often noted for its cost-effectiveness, especially in enterprises invested in Microsoft technologies, leading to favorable ROI. Spring Cloud Data Flow may have higher initial costs due to its sophisticated capabilities but offers significant ROI through advanced analytics and adaptability in modern data environments.

To learn more, read our detailed SSIS vs. Spring Cloud Data Flow Report (Updated: June 2025).

Buyer's Guide

SSIS vs. Spring Cloud Data Flow

June 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

Spring Cloud Data Flow

Ranking in Data Integration

21st

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (9th)

SSIS

Ranking in Data Integration

3rd

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 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 7.7%, down from 7.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

NitinGoyal

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.

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Sean Achim

Managing Director at Knights Innovation Support Centre

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.

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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

"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 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 dashboards in Spring Cloud Dataflow are quite valuable."

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

"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 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."

"Overall, it's a good product."

"With this solution, there is the potential to expand, so that you can immediately write code onto the SQL server."

"The ability of SSIS to transform and transport data is extremely valuable to me. It allows for intelligent extraction and manipulation of data during the process. Improved error handling would enhance ETL processes further. I haven't directly utilized the data flow components but they seem capable of supporting complex data integration needs."

"It is easy to set up the product."

"The most valuables features are the relatively short learning curve, and the automation capabilities provided through the BIML add-in for SSDT."

"It's already very user-friendly and has a good dashboard."

"The workflow features have been very valuable. You can have automated workflows and all the steps are controlled. The workflow functionality of integration services is excellent."

"The product's deployment phase is easy."

More SSIS pros

Cons

"I would improve the dashboard features as they are not very user-friendly."

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

"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 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."

"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."

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

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

"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."

"It would be nice if you could run SSIS on other environments besides Windows."

"Performance could be better."

"We'd like more integration capabilities."

"The interface could use improvement, as well as the administrative tools. Jobs fail from time to time for different reasons. It's not a problem with Microsoft, or SSIS itself. The problems are external, but to find the problems and analyze them it takes too much time."

"In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade."

"You have to write push down join & lookup SQL to the database yourself via stored procedures or use of the SQL Task to get very high performance. That said, this is a common complaint for nearly all ETL tools on the market and those that offer an alternative such as Informatica offer them at a very expensive add-on price."

"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."

More SSIS cons

Pricing and Cost Advice

"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."

"This is an open-source product that can be used free of charge."

"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."

"It comes bundled with other solutions, which makes it difficult to get the price on the specific product."

"SSIS is a cheaper option compared to the cost of other ETL tools."

"The solution comes free of cost."

"All of my clients have this product included as part of their Microsoft license."

"The solution is available at a lesser price than that of Informatica."

"I'm not involved in licensing details, but SSIS provides value to our organization by simplifying data management tasks."

"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."

More SSIS pricing and cost advice

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Comparison Review

it_user90069

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

17%

Retailer

Manufacturing Company

Financial Services Firm

19%

Computer Software Company

12%

Government

Manufacturing Company

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...

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

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...

See all answers

What do you like most about SSIS?

The product's deployment phase is easy.

See all answers

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.

See all answers

Comparisons

Apache Flink vs Spring Cloud Data Flow

Compared 41% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 12% of the time

Google Cloud Dataflow vs Spring Cloud Data Flow

Compared 6% of the time

MuleSoft Anypoint Platform vs Spring Cloud Data Flow

Compared 5% of the time

IBM InfoSphere DataStage vs Spring Cloud Data Flow

Compared 3% of the time

More Spring Cloud Data Flow Competitors

Informatica PowerCenter vs SSIS

Compared 17% of the time

Talend Open Studio vs SSIS

Compared 11% of the time

Oracle Data Integrator (ODI) vs SSIS

Compared 7% of the time

IBM InfoSphere DataStage vs SSIS

Compared 7% of the time

dbt vs SSIS

Compared 6% of the time

More SSIS Competitors

Product Reports

Buyer's Guide

Spring Cloud Data Flow

May 2025

Download Spring Cloud Data Flow product report

Buyer's Guide

SSIS

May 2025

Download SSIS product report

Also Known As

No data available

SQL Server Integration Services

Overview

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.

VMware

SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.

Microsoft

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

Buyer's Guide

SSIS vs. Spring Cloud Data Flow

June 2025

Free Report: SSIS vs. Spring Cloud Data Flow

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