We performed a comparison between Informatica Cloud Data Integration and Informatica PowerCenter based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: These are two exceptional solutions under the Informatica Brand, which is synonymous with quality, reliability, and high price. Informatica Cloud Data is created and best suited for small to medium organizations and it remains somewhat limited in the regions it can be used. Informatica PowerCenter is best for large enterprises that can utilize all of the numerous options PowerCenter has to offer. Large enterprises can more easily absorb the high cost and make better use of their current bundle licensing tier.
"The solution is straightforward."
"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"The data mapping capability is a valuable feature."
"The program is stable and scalable."
"Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables."
"The solution's initial setup is quite straightforward."
"The solution provides increased efficiency while still being user-friendly and easy to operate."
"The solution is stable."
"We have found the PowerCenter and B2B data transformation most valuable."
"The most valuable feature of Informatica PowerCenter is data transformation and user-friendliness."
"Informatica PowerCenter has been implementing mapping design, data flow, and workflow execution for years."
"It has a Data Catalog that uses the Model repository."
"PowerCenter performs well during data transformation and optimization."
"Enterprise-scale ETL solution that's very stable and is easy to scale. It integrates and connects with multiple new systems, both structured and semi-structured."
"Reusable definition of data sources and the out-of-the-box availability of a large number maplets for common transformation functions."
"We would like to have accessibility to the repository."
"Cost-wise, it could be better."
"A general improvement in icons and the virtual interface would be good."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"I would like to see support for more data sources."
"Error reporting and debugging need improvement."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"This solution needs the functionality to do batch processing of data. It also lacks connectivity to NoSQL, unstructured data sources."
"Some of the conversions are done inside the product. We use work tables that are created by the engine itself, but the names of the work tables are very long, and they don't have any meaning, which makes it a bit difficult to understand and follow exactly what is happening inside."
"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."
"I would like to see an improvement in the digital adoption."
"Its scalability can be improved. It is not scalable."
"If you want to transfer a ZIP file, it is a pain. You need to use Command-Line. Sometimes we just want to transfer a file. It should be easy to move them from A to B."
"I found it is kind of weird that not all of the mapping changes are treated as true changes."
"Integrated Reporting service should be more smoothly transitioned from view to function to be in sync with the main design."
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Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. Informatica Cloud Data Integration is rated 7.8, while Informatica PowerCenter is rated 8.0. The top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". 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". Informatica Cloud Data Integration is most compared with Azure Data Factory, AWS Glue, Fivetran, IBM Cloud Pak for Data and Mule Anypoint Platform, whereas Informatica PowerCenter is most compared with Azure Data Factory, SSIS, Databricks, AWS Glue and Oracle Data Integrator (ODI). See our Informatica Cloud Data Integration vs. Informatica PowerCenter report.
See our list of best Cloud Data Integration vendors.
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Both are powerful solutions and most of the actions can be done by both.
You should choose based on your organization and the business requirements taking a valid decision in terms of the quality and price.
Cloud Data Integration