We performed a comparison between Informatica Cloud Data Integration and WhereScape RED 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."We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"The program is stable and scalable."
"The product is scalable and excellent for enterprise-level organizations."
"Informatica Cloud Data Integration is stable."
"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors."
"Informatica Cloud Data Integration is stable."
"WhereScape's deployment package is a fantastic feature. The application allows for selecting specific objects that you would like to deploy from one environment to another rather than deploying the entire database."
"This is a fantastically robust DW tool that will make you at least 10 times faster in producing a DW."
"Quickly develops a data warehouse for our organization with documentation and can track back/forward features."
"WhereScape RED has improved our business's ability to generate needed reporting without requiring a large team of developers to manually code all of the necessary plumbing."
"RED has provided us the ability to integrate, stage, and transform data from diverse sources into an enterprise-grade data warehouse which meets the needs of my organization, but it also enables us to easily and quickly make ETL or DW changes."
"Support is absolutely excellent, efficient, and timely."
"The most valuable feature is the metadata generated code."
"I like the data vault implementations."
"The current features are a bit complicated, and we need to write big scripts and test."
"It needs to be a little more intuitive but it’s really not bad."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
"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."
"We would like to have accessibility to the repository."
"There are a small number of UI bugs that occur on occasion."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"While my company operates on the cloud, we have seen that Informatica Cloud Data Integration has some performance issues causing it to lag."
"No support for change data capture or delta detection - that must be custom coded ."
"Improve the object renaming ability (it works, but it could be more automated)."
"The solution can be a little more user-friendly on enterprise-level where people use it."
"The scheduled jobs which are run by the WhereScape scheduler seem to be a strangely separate animal. Unlike all other WhereScape objects, jobs cannot be added to WhereScape projects. Also, unlike all other objects, jobs also cannot be deleted using a WhereScape deployment application."
"It could use a tool to diagnose what is missing from the environment for WhereScape to install successfully."
"Technical support isn't the best."
"Project-based searching of data objects in the data warehouse browser needs to be improved."
"Jobs cannot be deleted via the deployment package. When deploying from dev to QA or production, a job has to be retired. The job has to be manually removed from the target environment."
More Informatica Cloud Data Integration Pricing and Cost Advice →
Earn 20 points
Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews while WhereScape RED is ranked 48th in Data Integration. Informatica Cloud Data Integration is rated 7.8, while WhereScape RED is rated 8.2. The top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". On the other hand, the top reviewer of WhereScape RED writes "Quick to set up, flexible, and stable". Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Mule Anypoint Platform, whereas WhereScape RED is most compared with Azure Data Factory, SSIS, Informatica PowerCenter, Matillion ETL and Talend Open Studio. See our Informatica Cloud Data Integration vs. WhereScape RED 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.
