Informatica Intelligent Data Management Cloud (IDMC) Reviews

- Seamless integration of MDM, data quality and data integration modules - Repository of data models from other customers - very useful! - Support for multiple domains including product and location data - Flexible architecture supports registry, consolidation, coexistence, and transaction styles. We use the coexistence style. - Management of party data - Performance is good, even as our database has grown in size over the past year

- When we compared Informatica to SAP, we realized that we lose the ability to integrate easily with our SAP business applications - Needs more preconfigured business rules and services - Weak in data stewardship. The UI in particular needs improvement. - Reporting can be improved.

Facebook integration looks interesting, but we haven't taken advantage of it. Informatica is a very innovative company in my opinion.

We use the product for building static and automatic data lineages.

It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen. Additionally, they should add AI features and the capability to provide data streaming insights.

We have been using Informatica Enterprise Data Catalog for two and a half years.

The product seems stable enough.

We have 30 Informatica Enterprise Data Catalog users in our organization.

The product requires maintenance.

I advise others to understand their business use cases. I rate Informatica Enterprise Data Catalog a three out of ten.

On-premises

I have received feedback from certain teams and there is a steep learning curve to use this solution.

In a future release, there should be better integration with other governance tools.

I have been using Informatica Cloud Data Integration for approximately three years. We have been using it consistently for one year in a large project.

The solution is reliable.

Informatica Cloud Data Integration has a strong enterprise customer base and this is one of the main reasons why we choose to work with them. The solution is scalable.

We use other similar products similar to Informatica Cloud Data Integration.

The initial setup is not easy.

The implementation would be best to be done by experts.

Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor.

I rate Informatica Cloud Data Integration a seven out of ten.

Our primary use case of this solution is for data integration; integrating cloud warehouse or cloud layout. Cloud Data Integration offers capabilities that didn't exist in the on-prem version. I'm the company product manager.

The mass ingestion functionality and the elasticity of the solution are great. It enables you to leverage the elasticity capability that the cloud provides. You can build a process, scale-up and leverage all the elasticity and the automatic provision the cloud has. What took 10 hours to do in the on-prem version, takes less than an hour in the cloud. It's a huge difference. The solution is designed for a cloud-native approach with native components and connectors for all the cloud-ready solutions we need nowadays.

I think the price modeling could be improved. Currently, the IPU consumption is defined on a monthly basis and if you don't use all the IPUs available in a particular month, they are lost. A more flexible pricing model is something Informatica should look at. 

The solution is scalable. 

The technical support is good, we raise the tickets in the Informatica Support Portal. 

The solution is great once you have a clear roadmap of migration to the cloud. In the cloud migration journey, it's important to be clear of the entire process.

I rate this solution nine out of 10. 

I starting with the design and discovery phase to detect data issues by using the profiling service, then started to analyze the data to determine and fix issues with it.

This product really improves my organization and fits all of the needed requirements for working with cleansed data. This helps to prevent issues from appearing in the business layer.

The user interface is flexible and the visibility of the data flow is amazing. You can see your data throughout the flow and then you can determine where issues are before fixing them.

The tool's performance is an area that should be given further consideration.

I have been using Informatica Data Quality for more than one year.

This is a stable product.

The solution is scalable.

Technical support has been very helpful. Whenever we have a problem, they are able to solve it.

I have experience with a similar solution by IBM.

Informatica platform installation is straightforward. As long as the prerequisites check is done successfully, it will be very easy to do.

On-premises

IBM

 A stand-alone application used for any integration with third party tools, like Oracle, it may be SAP, or it can be their local in-house build, or HRMS. It can be any application from A to Z. But this acts like in the web services. 

The data mapping capability is a valuable feature. 

Certain applications aren't accepted. For example, for IBM applications, it takes a lot of time. And certain applications are not being synced with the ION.

I have been using Informatica Cloud Data Integration for two and a half years. 

Its a very stable solution. 

There are twenty five customers at present. 

The initial setup is straightforward. The deployment takes two hours time. 

It's an expensive solution. 

Overall, I rate the solution an eight out of ten.