AtScale Adaptive Analytics (A3) vs Quest Data Intelligence comparison

Why PeerSpot?

AtScale and Quest Software are both solutions in the Data Governance category. AtScale is ranked #41, while Quest Software is ranked #17 with an average rating of 8.0. AtScale holds a 0.6% mindshare in DG, compared to Quest Software’s 2.8% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution.

AtScale Adaptive Analytics ...

Read 1 AtScale Adaptive Analytics (A3) review

3,343 Views
969 Comparison Views

0% willing to recommend

Quest Data Intelligence

Read 22 Quest Data Intelligence reviews

6,485 Views
5,188 Comparison Views

100% willing to recommend

AtScale Adaptive Analytics ...

Quest Data Intelligence

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 16, 2026

AtScale Adaptive Analytics A3 and erwin Data Intelligence are contenders in the data analytics and management landscape. AtScale A3 shows strength in agile performance and cost-effective scalability, while erwin Data Intelligence stands out with comprehensive data governance features.

Features: AtScale Adaptive Analytics A3 provides live data analysis, seamless integration with existing BI tools, and real-time insights. Erwin Data Intelligence offers robust data governance, detailed data lineage, and stewardship functionalities.

Ease of Deployment and Customer Service: AtScale A3 offers a straightforward deployment process compatible with existing cloud infrastructures and reliable, tailored enterprise support. Erwin Data Intelligence requires a more complex setup due to its comprehensive features, but extensive service and support options are available.

Pricing and ROI: AtScale Adaptive Analytics A3 has a competitive setup cost and shows significant ROI through its scalability and reduced operational costs. Erwin Data Intelligence, with a higher entry price due to its extensive features, delivers considerable ROI through data management efficiencies.

To learn more, read our detailed Data Governance Report (Updated: September 2026).

Buyer's Guide

Data Governance

September 2026

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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

41st

Average Rating

5.0

Number of Reviews

Ranking in other categories

Data Virtualization (7th), BI (Business Intelligence) Tools (44th), BI on Hadoop (1st)

Quest Data Intelligence

Ranking in Data Governance

17th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Metadata Management (7th), AI Governance (3rd)

Mindshare comparison

As of October 2026, in the Data Governance category, the mindshare of AtScale Adaptive Analytics (A3) is 0.6%, up from 0.3% compared to the previous year. The mindshare of Quest Data Intelligence is 2.8%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Quest Data Intelligence	2.8%
AtScale Adaptive Analytics (A3)	0.6%
Other	96.6%

Data Governance

Featured Reviews

it_user822762

Senior BI and Reporting Analyst at a financial services firm with 10,001+ employees

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…

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Jog Raj

Senior Consultant at a computer software company with 11-50 employees

Automated lineage and business glossaries have improved data understanding and collaboration

I am open to answering a few questions about erwin Data Intelligence and sharing my opinion about the product. Regarding the analytic part of the product, I find it very interesting that erwin Data Intelligence has its own inbuilt reporting toolset, with a new version coming out in January that will be AI-powered. This means you will be able to write analytical reports and questions based on the metadata and data lineage, making it more powerful than the current version, as AI will assist in creating those reports and performing analysis on the metadata. I find that the time taken to realize value from erwin Data Intelligence can be quite long. Creating a data catalog and developing data lineage takes significant time, and I expect that AI will help accelerate the process of creating data products by streamlining the steps involved. I can recommend erwin Data Intelligence to other users. I would rate this review as an eight out of ten overall.

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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 management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company."

"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."

"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."

"The solution gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple."

"By using the data catalog, we have definitely improved in terms of maturity as a data-driven decision-maker organization, and we are now getting to a level where everybody understands the data, understands how it is organized, and how they can use this data for different business decisions."

"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."

"The main benefits erwin Data Intelligence provides to me include better decision-making, saving money and time by applying governance policies and procedures on the actual technical data, ensuring decisions are based on KPIs that are governed from source to end, and providing functionality for data classification to prevent unauthorized access through integration with the infrastructure team using DLP methodology."

"Data governance is helping us become even a better company because we know our data and how to use it."

More Quest Data Intelligence pros

Cons

"The product was not able to meet our 10 second refresh requirements."

"The organization of the icons is not saved across users."

"There was an issue with the incremental aggregation not working as indicated."

"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive. They have made some good progress. Originally, when we started, we were on version 9 or 10. Over the last couple of releases, I've seen some improvements that they have made, but there might be a few other additional areas in UI where they can make some enhancements."

"The fact that I sometimes have to go in and out of different applications, even though it's all part of the whole erwin suite, perhaps means it could be architected a little bit better. I think they do have some ideas for improvements there."

"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."

"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive."

"The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested."

"There was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome."

"Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things."

"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."

More Quest Data Intelligence cons

Pricing and Cost Advice

Information not available

"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."

"The solution is aggressively priced."

"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."

"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."

"erwin's pricing was cheaper than its competitors."

"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 price is reasonable, and a subscription is required."

"The licensing cost was very affordable at the time of purchase. It has since been taken over by erwin, then Quest. The tool has gotten a bit more costly, but they are adding more features very quickly."

More Quest Data Intelligence pricing and cost advice

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Top Industries

By visitors reading reviews

Comms Service Provider

15%

Healthcare Company

13%

Manufacturing Company

11%

Construction Company

10%

Financial Services Firm

14%

Outsourcing Company

10%

Government

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	16

Questions from the Community

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What needs improvement with erwin Data Intelligence by Quest?

In my opinion, the analytics part of erwin Data Intelligence is not satisfactory. The name 'Intelligence' is not related specifically to analytics; it is focused on data governance with no advanced...

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What is your primary use case for erwin Data Intelligence by Quest?

My main use case for erwin Data Intelligence is applying it and the DQ Labs in a financial institution.

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What advice do you have for others considering erwin Data Intelligence by Quest?

The integration of business glossaries has significantly helped improve collaboration in our organization. We define the business glossaries first during meetings with the business, and then we bul...

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Product Reports

Buyer's Guide

BI (Business Intelligence) Tools

October 2026

Download AtScale Adaptive Analytics (A3) product report

Buyer's Guide

Quest Data Intelligence

September 2026

Download Quest Data Intelligence product report

Also Known As

AtScale, AtScale Intelligence Platform

erwin DG, erwin Data Governance, erwin Data Catalog

Overview

AtScale Adaptive Analytics (A3) revolutionizes data analysis for businesses by delivering powerful insights and facilitating informed decision-making. Its unique architecture optimizes operational efficiency and enhances data-driven strategies.

AtScale Adaptive Analytics (A3) integrates seamlessly with existing data environments, providing a modern and flexible approach to analytics. It allows organizations to access data from multiple sources without duplicating or moving it, ensuring efficiency and reducing costs. Advanced analytics capabilities enable enterprises to generate insights at scale, delivering actionable intelligence quickly. Its robust security features protect sensitive information, ensuring compliance and trust.

What are the key features of AtScale Adaptive Analytics (A3)?

Seamless Data Integration: Connects with diverse data environments without relocation.
High-Performance Data Virtualization: Enables rapid access and transformation of data across platforms.
Advanced Analytical Functions: Offers scalable insights using sophisticated analytical methods.
Centralized Security and Governance: Protects data integrity and complies with industry standards.
Cloud Agility & Scalability: Adapts to cloud or on-premises systems to meet growing business demands.

What benefits should users look for in reviews?

Cost Efficiency: Reduces data duplication costs and lowers operational expenses.
Enhanced Decision Making: Quickly delivers actionable insights for strategic decisions.
Improved Security Compliance: Maintains data privacy and meets regulatory requirements.
Versatile Analytics Capabilities: Supports complex data queries and enhances analytical output.
Flexibility in Deployment: Offers adaptable solutions compatible with cloud and traditional infrastructures.

AtScale Adaptive Analytics (A3) is widely implemented across industries like finance, healthcare, and retail where large-scale, secure, and insightful data analysis is paramount. Financial institutions benefit from its ability to adapt to changing regulations while healthcare organizations leverage it for detailed patient data analysis. Retailers use AtScale Adaptive Analytics (A3) to understand consumer behavior, enhancing customer experiences and inventory management. Its adaptability allows industry-specific customization, ensuring tailored analytics solutions.

AtScale

erwin Data Intelligence is a comprehensive platform for metadata management, data cataloging, and governance. It enables organizations to gain insights, improve traceability, and streamline compliance through its advanced features.

Focusing on data lineage, metadata repositories, and seamless integrations, erwin Data Intelligence provides a unified perspective of enterprise data. Its robust capabilities include Smart Data Connectors for automation, efficient data visualization with mind maps, and adaptable metadata properties. While the platform integrates well into existing systems, areas for improvement include automation, SDK inconsistencies, and the need for better data quality assessments. Use cases highlight its importance in enhancing business data models and regulatory compliance.

What are the key features of erwin Data Intelligence?

Single Source of Truth: Centralizes data for consistent information across the organization.
Smart Data Connectors: Automate connections to data sources, enhancing efficiency.
Data Lineage: Tracks data pathways for better traceability and understanding.
Business Glossaries: Enables clear definitions and shared vocabulary for all users.
Metadata Management: Streamlines metadata organization and retrieval.
Impact Analysis: Assesses implications of data changes rapidly and accurately.

What benefits should users look for in reviews?

Enhanced Efficiency: Automation scripts reduce manual processes and increase productivity.
Improved Data Visualization: Mind maps facilitate an intuitive understanding of complex data.
Customizable Properties: Adapt metadata attributes to fit specific organizational requirements.
Unified View: Offers a comprehensive perspective of data governance practices.

Industries implementing erwin Data Intelligence often focus on mapping data sources and integrating governance with ETL tools. This supports comprehensive data management strategies, enabling business teams to better locate, understand, and utilize data effectively. Its application in metadata management and automated reporting is particularly valuable in sectors requiring stringent regulatory compliance.

Quest Software

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 Collibra, Microsoft, Informatica and others in Data Governance. Updated: September 2026.

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