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."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 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."
"SSIS integrates well with SQL servers and Microsoft products."
"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's saved time using visualization descriptions."
"SSIS' best feature is SFTP connectivity."
"The performance is good."
"The scalability of SSIS is good."
"SSIS is an easy way to do data integration from various data sources. It doesn't matter whether it's a database, flat files, XML, or Web API. It can talk to the and join them all together."
"It's already very user-friendly and has a good 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 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."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"I would like to see better technical documentation because many times information is missing."
"Involving a data lake or data engineering aspects would be useful. While it is there, we need more features included."
"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."
"The performance of this solution is not as good as other tools in the market."
"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."
"Performance could be better."
"Microsoft should offer an on-premises support warranty for those using that deployment. They seem to be withdrawing from on-premises options."
"SSIS doesn't have a very good user interface, but if you can work with it, it'll provide you with almost all of the functionality."
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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We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
