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AtScale Adaptive Analytics (A3) vs erwin Data Intelligence by Quest 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

AtScale Adaptive Analytics ...
Ranking in Data Governance
34th
Average Rating
5.0
Number of Reviews
1
Ranking in other categories
Data Virtualization (4th), BI (Business Intelligence) Tools (37th), BI on Hadoop (7th)
erwin Data Intelligence by ...
Ranking in Data Governance
9th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Governance category, the mindshare of AtScale Adaptive Analytics (A3) is 0.3%, up from 0.3% compared to the previous year. The mindshare of erwin Data Intelligence by Quest is 2.1%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

it_user822762 - PeerSpot reviewer
The GUI interface is nice and easy to use, but the organization of the icons is not saved across users
Connecting to a Hadoop database to create a cube to connect to Tableau. We want to be able to easily create cubes which can be connected to Tableau for visualization The product had many issues. We had great collaboration with the product development team, but the product was not able to meet our…
Roy Pollack - PeerSpot reviewer
The solution provides more profound insights into legacy data movements, lineages, and definitions in the short term.
We have loaded over 300,000 attributes and more than 1000 mappings. The performance is slow, depending on the lineage or search. This is supposed to be fixed in the later versions, but we haven't upgraded yet. The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering.

Quotes from Members

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

Pros

"The GUI interface is nice and easy to use."
"The data mapping manager is the most valuable feature."
"They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal."
"There is a wide range of widgets that enables the user to find the proper information quickly. The presentation of information is something very valuable."
"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."
"The possibility to write automation scripts is the biggest benefit for us. We have several products with metadata and metadata mapping capabilities. The big difference when we were choosing this product was the ability to run automation scripts against metadata and metadata mappings. Right now, we have a very high level of automation based on these automation scripts, so it's really the core feature for us."
"Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature."
"The solution saves time in data discovery and understanding our entire organization's data."
"The biggest impact for us is that erwin generates DDL extremely quickly. We're able to pull in metadata, map it to a target, generate DDL to create the tables, and generate SSIS packages. Previously, especially going back 10 to 15 years ago, hundreds of hours had to be spent to manually perform these tasks. This solution completely automates it and gets it 90% done. We can then pass it off to a developer to create the items in SSIS."
 

Cons

"The organization of the icons is not saved across users."
"The product was not able to meet our 10 second refresh requirements."
"There was an issue with the incremental aggregation not working as indicated."
"One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
"The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one."
"We chose to implement on an Oracle Database because we also had the erwin Data Modeler and Web Portal products in-house, which have been set up on Oracle Databases for many years. Sometimes the Oracle Database installation has caused some hiccups that wouldn't necessarily have been caused if we had used SQL Server."
"The SDK behind this entire product needs improvement. The company really should focus more on this because we were finding some inconsistencies on the LDK level. Everything worked fine from the UI perspective, but when we started doing some deep automation scripts going through multiple API calls inside the tool, then only some pieces of it work or it would not return the exact data it was supposed to do."
"If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement."
"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."
"The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering."
 

Pricing and Cost Advice

Information not available
"Smart Data Connectors have some costs, and then there are user-based licenses. We spend roughly $150,000 per year on the solution. It is a yearly subscription license that basically includes the cost for Smart Data Connectors and user-based licenses. We have around 30 data stewards who maintain definitions, and then we have five IT users who basically maintain the overall solution. It is not a SaaS kind of operation, and there is an infrastructure cost to host this solution, which is our regular AWS hosting cost."
"There is an additional fee for the server maintenance."
"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."
"The price is reasonable, and a subscription is required."
"The licensing cost is around $7,000 for user. This is an estimation."
"The price is too high."
"The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."
"The solution is aggressively priced."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Manufacturing Company
12%
Computer Software Company
11%
Healthcare Company
8%
Computer Software Company
22%
Financial Services Firm
13%
Government
9%
Non Profit
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What do you like most about erwin Data Intelligence by Quest?
The data mapping manager is the most valuable feature.
What needs improvement with erwin Data Intelligence by Quest?
The data quality assessment requires third-party components and a separate license. I would like to have better integration around the data quality. I would appreciate the inclusion of a non-struct...
 

Also Known As

AtScale, AtScale Intelligence Platform
erwin DG, erwin Data Governance
 

Overview

 

Sample Customers

Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Find out what your peers are saying about Microsoft, Informatica, Collibra and others in Data Governance. Updated: April 2025.
848,716 professionals have used our research since 2012.