We performed a comparison between Spring Cloud Data Flow and SSIS based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."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 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."
"The product is very user-friendly."
"SSIS' best feature is SFTP connectivity."
"The script component is very powerful, things that you cannot normally do, is feasible through C#."
"SSIS integrates well with SQL servers and Microsoft products."
"The initial setup was easy."
"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."
"It's something I needed for bulk imports. I'm not a big fan of it, but I haven't seen anything better."
"It's already very user-friendly and has a good dashboard."
"The most valuable feature of SSIS is that it can handle real complex transformations."
"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."
"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 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."
"I would like to see more features in terms of the integration with Azure Data Factory."
"We have a stability problem because when something works, it works one time. The next time, it doesn't work."
"The high prices attached to the product can be an area of concern where improvements are required."
"The performance of this solution is not as good as other tools in the market."
"There was also not enough instructions from Microsoft in regards to this application or this technology, which can easily be improved upon."
"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."
"I come from a coding background and this tool is graphically based. Sometimes I think it's cumbersome to do mapping graphically. If there was a way to provide a simple script, it would be helpful and make it easier to use."
"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."
Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. Spring Cloud Data Flow is rated 8.0, while SSIS is rated 7.6. The top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue.
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