"It has a Data Catalog that uses the Model repository."
"What I like the most is that we have to deal with less while writing the queries."
"One of the most valuable features for us is the metadata repository because it can easily understand the lineage of first target mapping. My company and I also find Informatica really easy to use—when a consultant joins our company, in just a few days to a few weeks, they can understand how to use it—so we prefer to use this ETL tool."
"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 has helped us monetize."
"We have found the PowerCenter and B2B data transformation most valuable."
"Complex transformations can be easily achieved by using PowerCenter. The processing layer does transformations and other things. About 80% of my transformations can be achieved by using the middle layer. For the remaining 15% to 20% transformations, I can go in and create stored procedures in the respective databases. Mapplets is the feature through which we can reuse transformations across pipelines. Transformations and caching are the key features that we have been using frequently. Informatica PowerCenter is one of the best solutions or products in the data integration space. We have extensively used PowerCenter for integration purposes. We usually look at the best bridge solution in our architecture so that it can sustain for maybe a couple of years. Usually, we go with the solution that fits best and has proven and time-tested technology."
"Ease and speed of building integrations, especially integrations between different applications, such as our Hospital Information System."
"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 pricing could be improved."
"The real-time database connectivity when getting the real-time data using the VPN is an area that needs improvement."
"Its scalability can be improved. It is not scalable."
"I would like to see it be able to import data from NoSQL."
"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."
"We need another tool for monitoring. It would be easier if all the features were consolidated into one tool."
"There is a need to buy a separate license if one wishes to connect with some kind of SAP system, such as SalesForce."
"What I didn't like about it is that the platform itself is not great at distributed processing. When you need high parallel processing, it has some inherent issues. We had to use Java transformation, and it did not go very well. I have heard that it is going to the cloud, but we haven't tried that."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"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 1st in Data Integration Tools with 23 reviews while Spring Cloud Data Flow is ranked 16th in Data Integration Tools with 2 reviews. Informatica PowerCenter is rated 8.4, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Informatica PowerCenter writes "A stable, scalable, and mature solution for complex transformations and data integration". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, SSIS, Azure Data Factory, Informatica PowerExchange and Oracle Data Integrator (ODI), whereas Spring Cloud Data Flow is most compared with Apache Flink, TIBCO BusinessWorks, Mule Anypoint Platform, Cloudera DataFlow and IBM InfoSphere DataStage. See our Informatica PowerCenter vs. Spring Cloud Data Flow report.
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