We performed a comparison between Informatica PowerCenter 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."I like the completeness of the way I can build ETL workflows."
"The technical support is excellent."
"Once you have learned Informatica, it is very easy to use."
"The most valuable features are the monitoring tools and the reporting manager."
"The setup is very simple."
"PowerCenter performs well during data transformation and optimization."
"Ease and speed of building integrations, especially integrations between different applications, such as our Hospital Information System."
"It has helped us monetize."
"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."
"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."
"If we could have the option of performance improvement within Informatica, and if it could have more features, that would be ideal."
"While Informatica is great for data-integration, it does not have any analytics features. Thus, organizations have to always look for another product for their BI needs."
"The solution can improve by providing more connectivity by having native ODBC or JDBC connections available. It will be easier and more people could start using it."
"What needs improvement in Informatica PowerCenter is the cloud experience because, nowadays, other companies, such as AWS, Azure, and Google, have more experience in the cloud. The pricing for Informatica PowerCenter on the cloud is also very expensive for customers, so some customers prefer open-source tools or lower-priced tools, such as Azure. From my point of view, Informatica must work on the pricing policy and review the policy on the cloud for Informatica PowerCenter or propose more tools with lower pricing. Clients want the automatic integration of Informatica PowerCenter with other tools. Currently, the integration process is manual, and you have to add other tools to facilitate the integration, especially with the DevOps methodology. You need scripts and tools for the integration, and you'll need to use other integration tools if you want automatic deployment for Informatica PowerCenter, so this is another area for improvement in the solution. What I'd like to see in the next release of the solution is for the integration with APIs to be simpler, because currently, the API integration feature of Informatica PowerCenter is very difficult. It's not intuitive. You have to facilitate API integration and the real-time streaming of messages in Kafka, for example, so that should be improved."
"The UI is outdated and old-fashioned, at least in our current version. Also, we have experienced some stability issues with the Workflow Monitor application."
"Now they are migrating to a new version, and they have something that is called Informatica Developer. Previously, they just had PowerCenter. Now, when they move everything to Informatica Developer it's not as good or stable like it was when it was PowerCenter, though it has some nice features. This Developer tool could be better."
"Its interface can be modernized. It is an old product. I have been working with it for 14 years, and it still looks the same. It hasn't been modernized much. It also needs to handle more modern formats, such as JSON files. It works with the old text files and databases, but it does not always work with the newer, modern stuff. You need to make your own programs to support that kind of stuff. Support is also a kind of difficult with Informatica. They don't do direct support and rely on using their distributors around the globe for support, which means that you kind of have to go through this layer of different companies before you get help."
"An issue which should be addressed is that the solution only allows us to do structured, as opposed to unstructured, data processing."
"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 configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews while Spring Cloud Data Flow is ranked 29th 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 StreamSets.
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