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Ataccama DQ Analyzer vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Ataccama DQ Analyzer
Average Rating
7.8
Number of Reviews
4
Ranking in other categories
Data Scrubbing Software (7th)
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (10th), Business-to-Business Middleware (5th), 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 (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

While both are Data Quality Tools solutions, they serve different purposes. Ataccama DQ Analyzer is designed for Data Scrubbing Software and holds a mindshare of 4.5%, down 8.4% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 15.0% mindshare, up 14.0% since last year.
Data Scrubbing Software
Data Management Platforms (DMP)
 

Featured Reviews

Chuha Adequatov - PeerSpot reviewer
Is easy to deploy and is free, but marketing strategies need improvement
We use Ataccama DQ Analyzer to analyze data migration from one source to another. We use it to clean up the data I like that there is no need to buy a license. You can just download it and use it free. It is also easy to deploy. They could focus more on marketing the product. The current…
Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.

Quotes from Members

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

Pros

"The data profile itself is excellent. You can understand the quality of the data in layman's terms."
"It is also easy to deploy."
"Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."
"The most valuable features of Informatica MDM are it is cloud-enabled and has all the elements that are supposed to have in terms of MDM as a solution. All the features that are there. It is very well-integrated with any of the SAP and non-SAP applications. It is quite user-friendly. The user experience that you receive in Informatica MDM is quite good."
"This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities."
"Informatica Data Quality is a product that is worth the money."
"One of the most valuable features is that I don't need to buy a subscription for any functionality. With Informatica Cloud Data Management, I have all the functionality and features available. If I need to make an integration, I can go to that integration service. If I need to mask, provide, or clean some information, I can easily just pick up that feature and use it. It's very simple, and I have all the functions and capabilities I need to work with data."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"The solution is easier to use compared to the other solutions."
"The solution offers good data governance."
 

Cons

"Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature."
"They could focus more on marketing the product. The current marketing strategy is not working."
"The solution doesn't directly connect to any of the analytical tools."
"The ability of the product to leverage the power of big data could be improved."
"I feel the out-of-the-box APIs or the API management could be improved slightly from their current state. It could be more user-friendly."
"Informatica MDM's UI is not intuitive enough."
"The tool should provide a unified user interface to manage the data objects."
"The product is not too user-friendly to do the configurations."
"With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues."
"Informatica MDM can improve the data catalog and data marketplace."
 

Pricing and Cost Advice

"There is no need to buy a license. You can just download it and use it for free."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"We have licenses, and we are provided with certain particular services in the solution."
"The price of Informatica Cloud Data Integration could be reduced."
"The solution's pricing model is easy, but it is very expensive."
"The pricing is quite flexible."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Educational Organization
11%
Energy/Utilities Company
10%
Insurance Company
8%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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Also Known As

DQ Analyzer
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

University of Arizona
The Travel Company, Carbonite
Find out what your peers are saying about Experian, Talend, Melissa and others in Data Scrubbing Software. Updated: June 2025.
860,592 professionals have used our research since 2012.