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SSIS vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Spring Cloud Data Flow
Ranking in Data Integration
22nd
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
9
Ranking in other categories
Streaming Analytics (10th)
SSIS
Ranking in Data Integration
4th
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
71
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Spring Cloud Data Flow is 1.1%, up from 1.0% compared to the previous year. The mindshare of SSIS is 8.6%, down from 9.6% 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.
Sakiru Dosumu - PeerSpot reviewer
Its ability to transform and transport data is extremely valuable
he 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.

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 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."
"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 product is very user-friendly."
"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."
"The most valuable feature is real-time streaming."
"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 initial setup of this solution is very straightforward."
"We like that this solution includes a developer edition, free of charge, to allow for training."
"The most valuable feature of SSIS is that you can take data from other servers which are not MS SQL Server or Oracle."
"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."
"The performance is better than doing it in some alternative ways. We don't have to worry about so much manual work."
"The most valuable feature of the solution is performance."
"It has good data integration and good processes."
"The most valuable thing is that it is easy to connect with Microsoft tools. In Europe, particularly in France, a lot of companies use Excel, SQL Server, and other Microsoft tools, and it is easier to connect SSIS with Microsoft tools than other products."
 

Cons

"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."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"The solution's community support could be improved."
"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 is not an easy-to-use tool, so 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."
"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."
"SSIS is stable, but extensive ETL data processing can have some performance issues."
"There was also not enough instructions from Microsoft in regards to this application or this technology, which can easily be improved upon."
"Tuning using this solution requires extensive expertise to improve performance."
"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."
"Options for scaling could be improved."
"The solution should work on the GPU, graphical processing unit. There should also be piping integration available."
"The creation of the measure in the DAC's model could be improved."
"Sometimes we need to connect to AWS to get additional data sources, so we have to install some external LAN and not a regular RDBMS. We need external tools to connect. It would be great if SSIS included these tools. I'd also like some additional features for row indexing and data conversion."
 

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."
"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."
"The solution comes free of cost."
"It would be beneficial if the solution had a less costly cloud offering."
"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."
"This solution has provided an inexpensive tool, and it is easy to find experienced developers."
"This solution is included with the MSSQL server package."
"SSIS is a cheaper option compared to the cost of other ETL tools."
"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."
"Depending on the arrangement that a certain company has with Microsoft, it may supply the permanent license that is included in the SQL server license, or it may be a time-bound license if it is a partner license or other enterprise license."
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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
29%
Computer Software Company
17%
Manufacturing Company
7%
Retailer
6%
Financial Services Firm
17%
Computer Software Company
12%
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?
I would improve the dashboard features as they are not very user-friendly. Another area for improvement is the documentation, as it is not very precise. There are limited resources available on Spr...
What is your primary use case for Spring Cloud Data Flow?
I am a developer using Spring Cloud Dataflow. We primarily use it to convert our applications from monolithic to microservices. The solution is used for scheduling tasks in a specific order and ens...
What advice do you have for others considering Spring Cloud Data Flow?
My advice would be to thoroughly review the documentation and understand if Spring Cloud Dataflow is the right solution for your application. For applications with only one or two microservices, it...
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.
 

Also Known As

No data available
SQL Server Integration Services
 

Learn More

 

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: October 2024.
816,406 professionals have used our research since 2012.