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Ataccama Reference Data Manager [EOL] vs Reltio Cloud 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
Reltio Cloud
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
16
Ranking in other categories
Cloud Master Data Management (MDM) (2nd), AI Data Analysis (4th), AI Customer Experience Personalization (8th)
 

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.
reviewer2826747 - PeerSpot reviewer
Data Domain Lead at a government with 10,001+ employees
Unified data has created trusted golden records but complex AI matching still needs clearer control
Reltio Cloud has greatly enhanced our data management, and I acknowledge there are areas where our team continues to face challenges. Specifically, the AI-based matching feature operates like a black box, making it difficult to understand why certain records are matched or not matched accurately. If there could be better visual debugging and clarity regarding why records are matched, it would significantly aid our decision-making process. The technical configuration, particularly regarding data models and rule matching, can be overly complex for business users, hence a more user-friendly approach, with simplified guidelines, would be incredibly beneficial. Additionally, data stewardship can present complexities, and clearer actions can facilitate addressing these challenges. Performance issues can arise with larger data models and numerous data sources impacting system use, hence enhancements in optimization and ready-to-use features for complex configurations are essential. Pricing can also be convoluted; therefore, a clearer cost model would aid users in comprehending the structure. While data lineage has its merits, it is complex to interpret; thus, improved visualization would greatly benefit users. Ultimately, technical complexity emerges as the primary challenge we face, revealing opportunities for improvement.

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."
"The most valuable feature of Reltio Cloud is the customization we can make in its functionality."
"It is very easy to learn. The"
"The most valuable feature is real-time synchronization. You can see the events as soon as they are posted within a couple of fraction seconds."
"The solution saves 30% to 40% of our time."
"The survivorship feature is great because we can define it, prioritize the sources, and only allow those sources to survive when making the golden record."
"The cloud feature is very beneficial, and the scalability performance feature is excellent."
"Reltio Cloud offers advantages over competitors, including a dashboard with a good amount of detail that looks significantly better than Informatica or Stibo."
"The matching feature of Reltio Cloud is highly effective compared to many other tools available. Additionally, it is almost ready to use out-of-the-box, reducing the implementation time."
 

Cons

"Creation process of services for on-line validation data (special services which are able to be used by another system) is too complicated."
"Ultimately, technical complexity emerges as the primary challenge we face, revealing opportunities for improvement."
"Reltio Cloud could be improved in two specific areas. Firstly, the API capability needs to be enhanced, as when utilizing the REST API and posting a significant amount of data, there are multiple rejections from the MDM side. This can be due to the MDM server not responding or being unable to process the request. Therefore, I suggest that the API capacity should be increased to handle larger amounts of data. Additionally, I have noticed that the response time from the servers can take up to a minute or a few seconds, which can be improved for a faster response time."
"Sometimes, the service goes down for maintenance or when we run a lot of jobs so things get pushed to the queue and results don't get delivered on time."
"There is some lag in developing new features for specific business requirements. If a new feature is needed, we have to raise a request in the developer portal through the IDEA portal. This process takes time to develop, which can be a drawback when immediate business needs arise."
"The support team is slow to respond when we need assistance with workflow deployments. We must rely on their availability and contact them to receive the required JAR files."
"There are many issues. For example, sometimes, errors related to tokenization occur while creating a match rule."
"We need manual data modeling and configuration to tailor the platform to our requirements."
"The deployment is difficult."
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
12%
Manufacturing Company
12%
Financial Services Firm
11%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise13
 

Questions from the Community

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What needs improvement with Reltio Cloud?
In future updates of Reltio Cloud, I would like to see features such as AI for match and merge, which can create predefined AI address doctors and match and merge for customer data, easily integrat...
What is your primary use case for Reltio Cloud?
I use Reltio Cloud for customer data management, specifically for C-MDM purposes.
What advice do you have for others considering Reltio Cloud?
Reltio Cloud was not purchased through AWS Marketplace or directly from the vendor. It was already available in my company at that time, so I used the system to showcase its capabilities. What coul...
 

Also Known As

Reference Data Manager
No data available
 

Overview

 

Sample Customers

Bank of Montreal
iMiDiA, Slalom, MeritDirect, Cognizant
Find out what your peers are saying about TIBCO, SAP, Qlik and others in Master Data Management (MDM) Software. Updated: June 2026.
902,495 professionals have used our research since 2012.