Try our new research platform with insights from 80,000+ expert users

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 (6th)
Informatica Intelligent Dat...
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), 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) (1st), 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 5.7%, down 9.2% 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 14.1% 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…
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 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 Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"It provides all the typical MDM capabilities like deduplication and machine survivorship."
"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."
"It's good for tool management, maintaining the golden record of customer status."
"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
 

Cons

"They could focus more on marketing the product. The current marketing strategy is not working."
"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."
"Cost-wise, it could be better."
"Informatica's issue is the licensing. Right now, there are a lot of new gen MDMs that are offering a lot in a single licensing model."
"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."
"One area that needs to improve is the user experience because it is very complex. The trial version is very complex so it's not easy to start using the program immediately. You must study the rules first."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"They have too many diversified products. If you don't know Informatica, it's very confusing and feels very idiotic."
"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."
"It could be a bit more intuitive, rather than technically complex."
 

Pricing and Cost Advice

"There is no need to buy a license. You can just download it and use it for free."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half 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."
"Informatica MDM's price could be lower."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"It's a very expensive solution"
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"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."
report
Use our free recommendation engine to learn which Data Scrubbing Software solutions are best for your needs.
850,028 professionals have used our research since 2012.
 

Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Ask a question
Earn 20 points
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

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, Kroll-Software and others in Data Scrubbing Software. Updated: March 2025.
850,028 professionals have used our research since 2012.