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 provides increased efficiency while still being user-friendly and easy to operate."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"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 most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."
"REST API: Excellent for scripting control and reporting mechanisms"
"Informatica Cloud Data Integration is stable."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"It has very good monitoring and process monitoring."
"The most valuable feature of Informatica PowerCenter is the flow designer functionally. It is the best out of any ETL tool. Additionally, the solution is reliable and trustable in dealing with large data sources anytime. When we're using billions of data transactions, it's smooth."
"I found the map links, work links, and workflows valuable. They are important features."
"If the systems get migrated or upgraded, the amount of resources required are very minimal. We can change the connections and establish a new connection. It's very helpful."
"The solution is stable."
"PowerCenter performs well during data transformation and optimization."
"The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand."
"It is UI friendly and has all the advantages of an ETL tool."
"Certain shortcomings in the product's UI make it an area where improvements are required."
"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."
"It needs to be a little more intuitive but it’s really not bad."
"The price modeling could be more flexible."
"I would also like to have profiling functionalities and quality transformations in the cloud."
"Cost-wise, it could be better."
"The vendor should have more training resources: online classes, free tutorial videos, etc."
"I would like to see support for more data sources."
"Its scalability can be improved. It is not scalable."
"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."
"We had stability issues, mostly with JVM size."
"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."
"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 pricing could be improved."
"PowerCenter could integrate better with cloud applications. We had to do a lot of configuration work using API integrations to connect with cloud applications. Informatica Cloud Data Integration has a generic connector that you can use directly, so it's much easier."
"Integrating new tools can be tricky and challenging."
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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.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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