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Ataccama Reference Data Manager [EOL] vs Informatica Intelligent Data Management Cloud (IDMC) comparison

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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 Reference Data Man...
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (1st), API Management (9th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Featured Reviews

it_user69087 - PeerSpot reviewer
Head of Data Analytics at a financial services firm with 5,001-10,000 employees
We evaluated Microsoft master data services – it's nice but far from Ataccama RDM especially in workflow features
We use this system for managing reference data. It’s the most useful system for data warehouse because all data sources have to come from relational database. Unfortunately before Ataccama RDM was installed, some reference code books came from EXCEL, which is definitely an error-prone data source that does not have proper dataflow and quality checks when inputting data. We are using this system also for managing hard-coded logic in ETLs by creating special reference tables and creating workflows to update it in a manageable way. We will use it for managing code book which is currently booked in some systems but doesn’t have sexy features as in Ataccama RDM. This system can simplify data transfer between systems, eliminate extra copies and is different from a time perspective.
RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.

Quotes from Members

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

Pros

"Really best product for this certain task area – to make reference data is manageable."
"With my firm, our use of Informatica Cloud is primarily to implement a set of financial integrations from various accounting systems into a Salesforce environment, and by leveraging Informatica Cloud Mapping Designer, we were able to create sets of reusable templates that were source agnostic, making supporting the integration for hundreds of customers feasible with just a small team of integration specialists."
"Informatica Cloud Data Integration is good overall."
"What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details."
"We've used the solution for quite some time, so in our organization, the product is pretty mature."
"Regarding the features, the dashboards related to data quality profiling are the most powerful tool that we are using, and the integration between EDC and the data quality is very important."
"The Informatica MDM tool provided a very robust and cost effective solution to implement a single view of physicians."
"Overall product management, flexibility, intuitiveness and governance."
"Customer service and technical support are excellent."
 

Cons

"Creation process of services for on-line validation data (special services which are able to be used by another system) is too complicated."
"There may be some types of limitations with the performance."
"It could be a bit more intuitive, rather than technically complex."
"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."
"We would like to have accessibility to the repository."
"Once the data is masked, we won't be able to reverse it back to its original value."
"Complex to adapt data model provided using web service and e-commerce one."
"Improving the UI to be more business user-friendly would also be beneficial."
"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."
 

Pricing and Cost Advice

Information not available
"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 pricing is not cheap but comparable to other vendors."
"The pricing model is something that can be improved."
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"Its pricing model can be improved."
"Informatica Axon is expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
 

Questions from the Community

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Also Known As

Reference Data Manager
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Bank of Montreal
The Travel Company, Carbonite
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: September 2026.
915,533 professionals have used our research since 2012.