We performed a comparison between Informatica PowerExchange and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The transformation work called for Informatica PowerExchange. It was easy to work with this and very stable."
"The scalability is excellent."
"The agentless RCDC enablement through PowerExchange is a great idea and has worked very well so far."
"The product’s flexibility is valuable."
"The most valuable feature is connectivity to data sources."
"Provides a significant amount of control over the landscape and overall implementation."
"Overall, it's a good tool. It's currently number one on the market. It pretty much has all the necessary capabilities to pull the incremental data from the source system, technically speaking."
"It is a scalable and versatile solution."
"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 feature is real-time streaming."
"The product is very user-friendly."
"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 solution needs better integration with other tools."
"I would like to have easier integration with cloud platforms."
"Apache Spark has a machine learning algorithm, an area where Informatica PowerExchange lacks."
"V10.2 is very stable, but we are still struggling to make V10.5 stable. We found services that were down, and PowerExchange stopped working."
"The solution could be made more user-friendly. The configurations are also quite difficult."
"They should make it quick and easy for use of citizen data integration or for people or integrators developing at the customer side. They could be development teams within the business team. For them, the product owners can consider making it a little bit more seamless and a little bit more democratized."
"Technical support can be improved with respect to delays in ticket response time."
"Should diversify more, maybe with a reporting and visualization utility,"
"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."
Informatica PowerExchange is ranked 21st in Data Integration with 19 reviews while Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews. Informatica PowerExchange is rated 7.8, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Informatica PowerExchange writes "Handles big data better than competitors". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Informatica PowerExchange is most compared with Informatica PowerCenter, Oracle GoldenGate, Azure Data Factory, SSIS and Qlik Replicate, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks.
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