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Informatica Cloud Data Quality vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Informatica Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.4
Number of Reviews
11
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
7.8
Number of Reviews
180
Ranking in other categories
Data Integration (3rd), Business Process Management (BPM) (5th), Business-to-Business Middleware (3rd), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Featured Reviews

HH
Dec 15, 2023
The product has excellent profiling features and accelerated libraries that improve productivity
The pilot is not in production. It's in a lower environment. We are not at the stage of doing performance testing until the new year. We are not fully utilizing our on-premise infrastructure. Moving to the cloud could save us some money. People wanting to implement the solution must consider it like launching a new data management program from scratch. Rather than just thinking about migration from on-premise to the cloud, try to adjust your mindset to use the solution as a completely new tool. If you just migrate from the on-premises to the cloud, if you have any technical debt in the on-premise version, you'll just replicate that into the cloud. Overall, I rate the product a nine out of ten.
PrabhatKumar1 - PeerSpot reviewer
Nov 20, 2023
Offers good stability, helpful in integration but maintenance is time-consuming
The speed with which the data should be moved could be improved because of the firewall. It's becoming quite slow. And the integration with Teams or with Microsoft is not so smooth. So these are the areas of improvement. So, probably, they might even look for some upgrades or some changes over there. But these are the two key areas that we are facing issues with. One is the data moves a bit slow, and the integration within Microsoft products. Maintenance is another issue that takes a lot of time and money. It can be a challenge in the long term.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The profiling features are much better than the on-premise version."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
"Stability-wise, I rate the solution a ten out of ten."
"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."
"It has a more UI-based tool, and the scripting is good."
"The metadata management of Informatica is great."
"Informatica MDM has data quality, mastering the data's capability."
"It gives you accountability to centralize your data and have it available to different applications."
"The program is stable and scalable."
"Address Doctor gives an accurate combination of information provided with a level of returned threshold value."
"The most valuable features of Informatica MDM are the IDQ and RDM data management."
"Informatica is user-friendly, stable, and scalable. These three aspects are the most valuable for us. If we can make it work well with the CRM, we can continue or try again this year to complete that part of the project. I am confident that this kind of solution is what we need because we have a third-party resource that works in the development."
 

Cons

"Some capabilities from the cloud version are not included in the on-premises version."
"The integration with older technology and cloud quality needs improvement."
"Logical views are a little bit behind in comparison to the on-premise version."
"Support response time could be better."
"The high price of the product is an area of concern where improvements are required."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol or .com domain. Instead, it's about advanced validation, such as verifying if an email address exists or if a phone number is valid."
"The product interface could be improved to be more intuitive."
"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"Inserting the GenAI into the master data management will reduce the overall effort of operational activities."
"Managing the licenses with the on-premises version was difficult."
"The product is not too user-friendly to do the configurations."
"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."
"I have encountered some issues using the substitution, which is one of the techniques of data masking."
"Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions."
 

Pricing and Cost Advice

"Informatica Cloud Data Quality is a costly solution."
"We pay for a yearly subscription."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"We got a 50% discount."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."
"Informatica MDM's price could be lower."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"The solution's pricing model is easy, but it is very expensive."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"The licensing price of the product depends on the organization's requirements."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Manufacturing Company
10%
Computer Software Company
10%
Logistics Company
7%
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
10%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
What needs improvement with Informatica Cloud Data Quality?
Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol ...
What is your primary use case for Informatica Cloud Data Quality?
We use the solution to validate emails, telephone numbers, and postal codes. It can also create some data quality rules using the Cloud app's data quality function.
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
 

Also Known As

Cloud Data Quality Radar
ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

Overview

 

Sample Customers

Freddie Mac, Rabobank
The Travel Company, Carbonite
Find out what your peers are saying about Informatica Cloud Data Quality vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: September 2024.
801,634 professionals have used our research since 2012.