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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
8.0
Reviews Sentiment
6.9
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (7th), 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 (4th), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Featured Reviews

TaherDungrawala - PeerSpot reviewer
Has good reusability and CDI features
I use Collibra Data Quality. I switched to Informatica because Collibra cannot integrate. Colibra Cloud Data Quality is a very basic tool. There is no integration capability. If you have problem records, there is no fix to remediate them using the same tool. With Informatica, you can integrate with CDI and then create a remediation plan.
Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

Quotes from Members

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

Pros

"The user-friendliness and performance of Informatica is quite impressive."
"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."
"The profiling features are much better than the on-premise version."
"The most valuable feature is the rule specification."
"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."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"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."
"The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"The fuzzy matching capability is a great feature."
"The solution is applicable for both technical and business users."
"The OAuth feature is the most valuable feature for authentication."
"The metadata management of Informatica is great."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
 

Cons

"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."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"Some capabilities from the cloud version are not included in the on-premises version."
"The high price of the product is an area of concern where improvements are required."
"Support response time could be better."
"Logical views are a little bit behind in comparison to the on-premise version."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"We currently have issues with real-time integration."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"Informatica MDM could improve the interdependency with integration. The solution sometimes becomes a bit difficult to change considering a lot of interdependency with the integration. There can be some improvement in the workflows and they can introduce more artificial intelligence."
"I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy."
"There are some limitations with Informatica Axon when one tries to connect or integrate it with Jira."
"The cloud version could be better in terms of pricing."
"There's no direct way to connect to Amazon APIs from Informatica Cloud."
 

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."
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"It is cost effective and an easily accessible tool."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."
"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."
"Its pricing model can be improved."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
10%
Computer Software Company
8%
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: October 2024.
816,406 professionals have used our research since 2012.