Architect at a insurance company with 1,001-5,000 employees
Excellent MDM in my opinion. Needs better workflows for our business users.
What is most valuable?
- 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
What needs improvement?
- 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.
What other advice do I have?
Facebook integration looks interesting, but we haven't taken advantage of it. Informatica is a very innovative company in my opinion.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PIM Data Administrator at a tech services company with 1,001-5,000 employees
We can update the information on the master catalog for urgent tasks.
What is most valuable?
Having access to PIM production, we get all the details of the supplier from here and we also get to update the information on the master catalog for urgent tasks.
How has it helped my organization?
In our department, it's easier to get the information needed in a report or task. I cannot go into details due to confidentiality issues.
What needs improvement?
From my point of view, a quick response time is needed when searching for an item.
For how long have I used the solution?
I have been using this system for almost ten months.
What do I think about the stability of the solution?
There were no stability issues so far.
What do I think about the scalability of the solution?
There were no scalability issues so far.
How is customer service and technical support?
I would rate the technical support a 10/10. They are very helpful and provide updates as and when needed.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Informatica Intelligent Data Management Cloud (IDMC)
November 2024
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Data Analyst / Data Integration at a comms service provider with 51-200 employees
Solid Integration tool. GUI is poor and needs improvement.
What is most valuable?
IDQ integration with Power Centre Designer Repository. On the fly you can move your IDQ artefacts to Power Centre Designer. Later you can use them in a workflow and for scheduling etc.
How has it helped my organization?
Improved Data Quality, after we run the IDQ session which we customize for each client (Developed custom business rules in IDQ).
What needs improvement?
GUI is poor in IDQ
For how long have I used the solution?
Over a year
What was my experience with deployment of the solution?
No
What do I think about the stability of the solution?
No
What do I think about the scalability of the solution?
No (Depends upon your design and architect)
How are customer service and technical support?
Customer Service: Customer service is OKTechnical Support: Technical support is OK
Which solution did I use previously and why did I switch?
Earlier we used ODI and IDPQ, but the new client wants the development in Informatica.
How was the initial setup?
It was a ittle complex, as there are post installation services you need to create in Informaitca Administrator.
What about the implementation team?
In house team (I was part of the team as an Informatica Administrator and IDQ Developer)
What was our ROI?
Better data quality
Which other solutions did I evaluate?
IBM Data Stage, IBM Information Analyzer and IBM Quality Stage (More cost Centric). Oracle ODI (Oracle Data Integrator) and ODPQ (Oracle Data Quality and Profiling).
What other advice do I have?
Informatica Data Quality is a solid Integration tool.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Architect at a tech vendor with 1,001-5,000 employees
Reliable, scalable, but integration could improve
Pros and Cons
- "I have received feedback from certain teams and there is a steep learning curve to use this solution."
What needs improvement?
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.
For how long have I used the solution?
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.
What do I think about the stability of the solution?
The solution is reliable.
What do I think about the scalability of the solution?
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.
Which solution did I use previously and why did I switch?
We use other similar products similar to Informatica Cloud Data Integration.
How was the initial setup?
The initial setup is not easy.
What about the implementation team?
The implementation would be best to be done by experts.
What's my experience with pricing, setup cost, and licensing?
Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor.
What other advice do I have?
I rate Informatica Cloud Data Integration a seven out of ten.
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
Data Engineer at a tech services company with 51-200 employees
Flexible user interface, good visibility of data, good support
Pros and Cons
- "The user interface is flexible and the visibility of the data flow is amazing."
- "The tool's performance is an area that should be given further consideration."
What is our primary use case?
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.
How has it helped my organization?
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.
What is most valuable?
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.
What needs improvement?
The tool's performance is an area that should be given further consideration.
For how long have I used the solution?
I have been using Informatica Data Quality for more than one year.
What do I think about the stability of the solution?
This is a stable product.
What do I think about the scalability of the solution?
The solution is scalable.
How are customer service and technical support?
Technical support has been very helpful. Whenever we have a problem, they are able to solve it.
Which solution did I use previously and why did I switch?
I have experience with a similar solution by IBM.
How was the initial setup?
Informatica platform installation is straightforward. As long as the prerequisites check is done successfully, it will be very easy to do.
Which deployment model are you using for this solution?
On-premises
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
IBM
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Buyer's Guide
Download our free Informatica Intelligent Data Management Cloud (IDMC) Report and get advice and tips from experienced pros
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Updated: November 2024
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Regarding SAP integration- Depends on your scale, existing infrastructure, SLAs, etc. - it's always a minefield. In abstract terms, the products themselves will integrate without major issues. My personal biggest gripe with Informatica is their pricing model, it is outrageous for large data volumes, everything is good until one looks at the price tag.