We performed a comparison between Informatica PowerCenter and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."To me, what's most valuable in Informatica PowerCenter is the flexibility in building the integration pipeline. Usually, you need to have a platform to be able to integrate with different technologies, including legacy data such as the mainframe. The platform should also be rich enough to transform the data per your business requirement, with no restrictions. Rich integration and rich transformation capabilities are the two key capabilities in Informatica PowerCenter. The solution also offers ease of use. Another valuable feature of Informatica PowerCenter is the drag-and-drop integration because it's GUI-based, similar to IBM and Oracle."
"The greatest feature is that it is very easy to have someone come in and jump right in. It is one of the nicest tools in terms of getting a person acquainted quickly."
"It's very easy to use it to develop mappings and workflows."
"The support is valuable. There are also open-source ETL products, which work very well, but there is no support. When we face a production problem, being able to get support is valuable, and it brings efficiency. With an open-source solution, we can't engage anyone to resolve the problem as quickly as possible."
"The product's initial setup phase is very easy."
"Reusable definition of data sources and the out-of-the-box availability of a large number maplets for common transformation functions."
"Once you have learned Informatica, it is very easy to use."
"The technical support for Informatica PowerCenter is good."
"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."
"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 licensing cost for Informatica is very high. Other all-in-one solutions have much lower prices than Informatica."
"Include more instruments for LOGs analysis, interpretation, and job corrections."
"The initial setup is not straightforward. You need expertise to do it."
"The documentation could be improved."
"Integration with Artificial Intelligence would benefit this solution."
"Informatica PowerCenter is outdated and would benefit from modernization. They should have a very good migration strategy from Informatica PowerCenter to AACF. Informatica PowerCenter there is no point in using it, you have to use a cloud version."
"The only problem with this product is the level of complexity with the number of levels of transformation that you have to go through."
"The solution's commercial cost is very high. Other open-source tools can do the tool's functions for free. The world is moving to the cloud, but the solution hasn't updated its drivers. I presume that its downfall will start soon. The tool is trying to cross-sell or upsell without helping customers derive benefits from the existing products. They have multiple tools and licenses. It is better to bring the smaller tools in one umbrella."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"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."
Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews while Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews. Informatica PowerCenter is rated 8.0, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and Amazon Kinesis. See our Informatica PowerCenter vs. Spring Cloud Data Flow report.
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