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Ataccama Reference Data Manager [EOL] 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 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
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (4th), 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.
Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

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."
"I definitely would recommend the Informatica solution to other people."
"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."
"There isn't any human touch involved. It's just an automated business process to build different applications and talking to various APIs using the client's ecosystems. We then build new functionalities out of it."
"The scalability is very high."
"The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."
 

Cons

"Creation process of services for on-line validation data (special services which are able to be used by another system) is too complicated."
"Informatica is very expensive."
"Informatica's support understands the solution, but they lack the experience we need for our use case. That was one thing that we prioritized when we started searching for this kind of solution."
"I would like to see support for more data sources."
"In certain domains, I am looking for material-level match features that are not customizable. The current solution requires code-writing and tweaking, while other solutions offer material-level matches."
"The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."
"The ability of the product to leverage the power of big data could be improved."
"Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
 

Pricing and Cost Advice

Information not available
"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"The licenses attached to the solution are highly priced."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"I rate the licensing cost of Informatica MDM a five out of ten."
"We pay for a yearly subscription."
"The solution's pricing model is easy, but it is very expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
7%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

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, Salesforce and others in Cloud Data Integration. Updated: February 2026.
884,873 professionals have used our research since 2012.