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 user interface and user experience are perfectly all right."
"The product's initial setup phase was not complex. The tool is easy to install onto any of the servers, and you can integrate it."
"The product’s flexibility is valuable."
"From the product feature or product capability perspective, the aspects around integration, transformation, and standardization are valuable. It's fairly easy to use. It has a GUI-based interface."
"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 easy to integrate the solution with other tools."
"The transformation work called for Informatica PowerExchange. It was easy to work with this and very stable."
"The main benefit of PowerExchange is its native real-time capabilities. Competing tools are counting on third-party packages or Oracle to offer real-time capabilities. However, Informatica has a native ability to scan the data on the file system level and capture the changes almost instantly when I push it to the consumers. The solution has a powerful built-in replication engine."
"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."
"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 could be made more user-friendly. The configurations are also quite difficult."
"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."
"I would like the stability to improve."
"Technical support can be improved with respect to delays in ticket response time."
"The major shortcoming of PowerExchange is high availability and failover. None of the versions we've used to date have had the out-of-the-box ability to enable failover and high-availability requirements. This is a significant challenge and risk."
"Pushdown optimization could be improved."
"The solution needs better integration with other tools."
"I would like to have easier integration with cloud platforms."
"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 29th 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.
See our list of best Data Integration vendors.
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.
