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Ataccama Reference Data Manager [EOL] vs Profisee 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
Profisee
Average Rating
8.0
Reviews Sentiment
8.4
Number of Reviews
5
Ranking in other categories
Cloud Master Data Management (MDM) (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.
reviewer2382861 - PeerSpot reviewer
Data and BI Architect Lead at a financial services firm with 10,001+ employees
Has an adaptive approach, a friendly UI, and good integration capabilities
The Profisee user interface has positively impacted our data management. As a data architect and enterprise developer, I have seen that it is convenient for the data storage team to complete their work. The interface is visually clear and easy to understand, streamlining the entire process. Profisee's scalability and integration capabilities with other systems are highly effective, particularly within an Azure-centric environment. Its seamless integration with Azure services like Purview enables comprehensive data lifecycle management, including data lineage and management. Implementing Profisee has potentially made our time to market for new products and services more efficient. Qualifying master data and making it available downstream for data consumption seems smoother now. As a bank, our response to data availability might differ from other industries like advertising. Overall, I see positive impacts from using Profisee. I would recommend Profisee to others, but it depends on various factors such as how well it fits with their business domain, cost considerations, and resource availability. If they have centralized their data in Azure, Profisee is a no-brainer for data management. Overall, I would rate Profisee as an eight out of ten.

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 process of categorizing data, creating glossaries, and generating metadata is streamlined and less time-consuming."
"The product is able to utilize the SQL server toolkit and it has tight integration with the SQL server."
"Profisee's customer service is very responsive, and they have a comprehensive training academy, Profisee Academy, that helps guide the implementation process."
"We really like the matching and merging features."
"The client is doing really well; in fact, they've been published in several IT magazines for their efforts, and also for their data cleansing efforts and their data stewardship."
"The most valuable features for ensuring data accuracy and quality are mappings and creating business rules."
"Profisee is an all-in-one tool; all you need to do is plug in your data points from various data sources and you are good to go."
 

Cons

"Creation process of services for on-line validation data (special services which are able to be used by another system) is too complicated."
"Some security complexities might add time to the setup."
"The way training is laid out in their Profisee University makes it really, really hard to find what you need fast."
"The way training is laid out in their Profisee University, makes it really, really hard to find what you need fast."
"When we updated to version 7.1, there were some workflow issues."
"When we updated to version 7.1, there were some workflow issues."
"A more convenient approach would involve integrating all the pre-existing elements into Profisee itself."
"Profisee could improve in providing clearer data lineage information."
 

Pricing and Cost Advice

Information not available
"The pricing is moderate, falling in the middle range—not excessively low nor overly expensive."
"We didn't come across any additional licensing fees."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
15%
Financial Services Firm
11%
Healthcare Company
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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What do you like most about Profisee?
The most valuable features for ensuring data accuracy and quality are mappings and creating business rules.
What needs improvement with Profisee?
Profisee is making improvements for the year 2024, including integrating directly with other solutions.
 

Also Known As

Reference Data Manager
No data available
 

Overview

 

Sample Customers

Bank of Montreal
NASDAQ, Rockwell Automation, ITT Industries, EY (Ernst & Young), Domino's, L3 Communications, Anheuser Busch, MD Anderson Cancer Center, Ameriprise Financial, GSO Capital Partners
Find out what your peers are saying about SAP, TIBCO, Qlik and others in Master Data Management (MDM) Software. Updated: March 2026.
885,376 professionals have used our research since 2012.