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

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Ataccama DQ Analyzer
Average Rating
7.8
Number of Reviews
4
Ranking in other categories
Data Scrubbing Software (5th)
Informatica Intelligent Dat...
Average Rating
8.0
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Data Quality (1st), 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)
 

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 6.6%, down 13.0% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 16.3% mindshare, up 13.7% since last year.
Data Scrubbing Software
Data Management Platforms (DMP)
 

Featured Reviews

Chuha Adequatov - PeerSpot reviewer
Apr 4, 2022
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…
Raj Sethupathi - PeerSpot reviewer
Jun 13, 2024
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 data profile itself is excellent. You can understand the quality of the data in layman's terms."
"It is also easy to deploy."
"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."
"The solution scales well."
"The most valuable features are the structure masking and platform masking."
"It gives you accountability to centralize your data and have it available to different applications."
"The staging and hierarchical features are the most valuable."
"The program is stable and scalable."
"We've used the solution for quite some time, so in our organization, the product is pretty mature."
"The features for data quality, data cataloging, and UI are excellent."
 

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."
"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."
"The biggest pain point for us is the documentation. Typically, you have to go through knowledge forums and knowledge groups to find out about the syntax issues for interfacing with new products. Typically, you've got to deal with someone who has been through the pain before. Their documents are not really up to date with current innovations happening in the industry. As big as they are, you can't really expect it, but that's our pain point."
"The integration with other data management tools can be enhanced. For instance, there is no integration with tools like Collibra or Hubview."
"The customer servive and support could be faster. There is a slow turnaround."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"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."
"Once the data is masked, we won't be able to reverse it back to its original value."
"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."
 

Pricing and Cost Advice

"There is no need to buy a license. You can just download it and use it for free."
"We have licenses, and we are provided with certain particular services in the solution."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"Informatica Axon is expensive."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"Comparatively, their prices are a little bit too high."
"The licensing price of the product depends on the organization's requirements."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Energy/Utilities Company
15%
Manufacturing Company
12%
Computer Software Company
8%
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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...
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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 Talend, Experian, Kroll-Software and others in Data Scrubbing Software. Updated: October 2024.
814,649 professionals have used our research since 2012.