We performed a comparison between Spring Cloud Data Flow and Talend Data Management Platform based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The product is very user-friendly."
"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 most valuable feature is real-time streaming."
"They're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"The solution can run on any machine and that is a big advantage."
"The solution is very user-friendly and easy to understand."
"The most valuable features of the Talend Data Management Platform are the components."
"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"I like everything about this product, but the biggest thing is the ease of use."
"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"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 product must enhance the data quality."
"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."
"Once you get past the basic tools, it gets pretty complicated."
"Performance and speed could be improved."
"They lack in memory capacity."
"The documentation from version to version could be more accurate."
"The solution's memory sometimes bottlenecks and that can be challenging."
"The stability is good, but the performance is slower when I work on a huge amount of data."
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Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews while Talend Data Management Platform is ranked 22nd in Data Integration with 17 reviews. Spring Cloud Data Flow is rated 8.0, while Talend Data Management Platform is rated 8.4. 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 Talend Data Management Platform writes "Built for everything and packed with features but there are some monitoring limitations". Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks, whereas Talend Data Management Platform is most compared with Talend Open Studio, Talend Data Fabric, SAP Data Services, Collibra Catalog and SSIS.
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