We performed a comparison between IBM Cloud Pak for Integration and Informatica PowerCenter based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"It is a stable solution."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand."
"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."
"It works with any multi-databases, so it works with Sybase, SQL Server. Also, the performance is really good and it is easy to use."
"Good product if you are trying implement data quality, data integration, and data management projects."
"The interface is very clean and clear."
"Once you have learned Informatica, it is very easy to use."
"It has a Data Catalog that uses the Model repository."
"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."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
"Its queuing and messaging features need improvement."
"The pricing can be improved."
"The initial setup is not easy."
"Informatica PowerCenter could improve the data threshold for large sets of data. Additionally, they should add real-time integration."
"Its licensing can be improved. It should be features-wise and not bundle-wise. A bundle will definitely be costly. In addition, we might use one or two features. That's why the pricing model should be based on the features. The model should be flexible enough based on the features. Their support should also be more responsive to premium customers."
"Integrating new tools can be tricky and challenging."
"PowerCenter could be improved by having more big data components. Normally, we prefer Informatica as a relational database, but nowadays, companies are trying to understand and use big data components. I think it would be useful if we had more chances to create a hub ecosystem because customers try to use some data integration tasks by SQL, Spark and Spark codes, and Scala, but at the end of the day, the company will understand that we need to trace all the steps. An ETL tool is a must for that company, if we're talking about the regulated industries like finance, telcos, etc. If Informatica's biggest ecosystems feature were okay, I would prefer to use it."
"This product is going to decommission in the next couple of years."
"Compared to solutions offering similar functionalities, Informatica PowerCenter is not very flexible regarding customized integrations."
"Lacks ability to calculate cost of the product."
"Support could be better."
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IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. IBM Cloud Pak for Integration is rated 8.6, while Informatica PowerCenter is rated 8.0. The top reviewer of IBM Cloud Pak for Integration writes "A hybrid integration platform that applies the functionality of closed-loop AI automation". On the other hand, 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". IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway, Microsoft Azure API Management and MuleSoft Anypoint API Manager, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue. See our IBM Cloud Pak for Integration vs. Informatica PowerCenter report.
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