Ataccama ONE Platform vs erwin Data Intelligence by Quest comparison

Ataccama ONE Platform vs. erwin Data Intelligence by Quest

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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

Ataccama ONE Platform

Ranking in Data Governance

11th

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Quality (4th), Master Data Management (MDM) Software (4th)

erwin Data Intelligence by ...

Ranking in Data Governance

9th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Data Governance category, the mindshare of Ataccama ONE Platform is 2.5%, up from 1.9% compared to the previous year. The mindshare of erwin Data Intelligence by Quest is 2.0%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance

Featured Reviews

JohnZacharkan

Senior Architect at SourcEdge

Enhanced data quality with machine learning support in diverse environments

We used Ataccama ONE to read data from the mainframe for a data quality perspective. There's a significant lack in that area with tools being able to interface with mainframe. MetLife has a diverse environment, including DB2, Oracle, SQL Server, legacy, and vSAN files. Being able to work in these various environments and put them to a single data quality tool was very appealing. Additionally, Ataccama supported AI and machine learning, which was one of the features I liked. Furthermore, we were able to interface bidirectionally with Collibra for data governance, catching data quality issues before propagating through the system.

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Roy Pollack

Advisor Application Architect at CPS Energy

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.

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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 ease of use of the user console is valuable."

"The product’s important feature is data profiling and quality check."

"The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance."

"The drag-and-drop feature is incredibly flexible and straightforward."

"Customer service was excellent, and I would give it a ten out of ten."

"The desktop version of the solution was particularly valuable to me, primarily for creating components. We opted for the data quality aspect to assess the quality of our data warehouse. The functionalities available allowed us to not only check data quality but also serve as an ETL tool. This versatility enabled data transformation and storage in various formats, including files on platforms like SharePoint or local online directories. The flexibility of the tool catered to the specific needs of those building components, contributing to our desired outcomes."

"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."

"We always know where our data is, and anybody can look that up, whether they're a business person who doesn't know anything about Informatica, or a developer who knows everything about creating data movement jobs in Informatica, but who does not understand the business terminology or the data that is being used in the tool."

"Data Intelligence has provided more profound insights into legacy data movements, lineages, and definitions in the short term. We have linked three critical layers of data, providing us with an end-to-end lineage at the column level."

"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."

"Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off."

"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."

"It is a central place for everybody to start any ETL data pipeline builds. This tool is being heavily used, plus it's heavily integrated with all the ETL data pipeline design and build processes. Nobody can bypass these processes and do something without going through this tool."

"The data mapping manager is the most valuable feature."

More erwin Data Intelligence by Quest pros

Cons

"Speaking specifically about the version we use, version 12.3, I'm unsure if this has been addressed in subsequent versions. One improvement I'd like to see pertains to the language used in certain components, especially in data quality checks. The language complexity posed a challenge for beginners. Although we had on-site assistance from Ataccama, making it manageable for us, some individuals found it difficult to comprehend, necessitating additional support. The provision of a comprehensive guide for on-premise installation can also be enhanced. The lack of detailed information on the solution's workings and the overwhelming nature of notifications, with extensive content, were areas of concern. Streamlining the notification content in newer versions would significantly expedite issue resolution."

"It is complicated to fetch 20-25 reports when we profile the data."

"Data movement is a pain."

"The interfacing to tools such as Collibra was somewhat cumbersome and required more thought."

"I believe it would be beneficial if it could enhance its flexibility to connect with a wider range of downstream systems beyond just Excel and Postgres."

"There is a notable challenge in having to provide detailed filters before the site recognizes the search criteria."

"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."

"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."

"The technical support could be improved."

"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."

"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."

"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."

"Really huge datasets, where the logical names or the lexicons weren't groomed or maintained well, were the only area where it really had room for improvement. A huge data set would cause erwin to crash. If there were half a million or 1 million tables, erwin would hang."

"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."

More erwin Data Intelligence by Quest cons

Pricing and Cost Advice

"Despite not being extremely low-cost, the pricing appears reasonable, making it a profitable and viable choice for companies that prioritize data security and adhere to specific policies."

"Our licensing model wasn't user-specific; instead, we paid fees for the engine and maintenance. As we didn't have a support contract, maintenance fees were likely nonexistent. Regarding the upgrade, we had an account for the initial two or three years, and considering the features provided by the solution, the pricing was reasonable."

"The product is reasonably priced."

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

"The solution is aggressively priced."

"There is an additional fee for the server maintenance."

"The price is reasonable and competitive. When you get into forward and reverse-engineering, the cost could go up. However, if you are a large organization, you would probably be able to access different packages. If, however, you don't need forward and reverse-engineering, then the price is relatively cheap."

"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."

"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."

"The price is too high."

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

More erwin Data Intelligence by Quest pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

13%

Insurance Company

Manufacturing Company

Computer Software Company

23%

Financial Services Firm

13%

Government

Non Profit

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Ataccama ONE Platform?

The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance.

What needs improvement with Ataccama ONE Platform?

The interfacing to tools such as Collibra was somewhat cumbersome and required more thought. While it was possible to configure these interfaces, they required some coding. It would be beneficial i...

What is your primary use case for Ataccama ONE Platform?

Some of the use cases for Ataccama ONE included data quality, identifying and mapping to Collibra, which was their data governance tool. It was critical for them to interface directly with that too...

What do you like most about erwin Data Intelligence by Quest?

The data mapping manager is the most valuable feature.

What is your experience regarding pricing and costs for erwin Data Intelligence by Quest?

The price is reasonable, and a subscription is required.

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...

Microsoft Purview Data Governance vs Ataccama ONE Platform

Comparisons

Compared 22% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Ataccama ONE Platform

Compared 20% of the time

Collibra Governance vs Ataccama ONE Platform

Compared 17% of the time

Profisee vs Ataccama ONE Platform

Compared 7% of the time

Talend Open Studio for MDM vs Ataccama ONE Platform

Compared 2% of the time

More Ataccama ONE Platform Competitors

Microsoft Purview Data Governance vs erwin Data Intelligence by Quest

Compared 31% of the time

Collibra Governance vs erwin Data Intelligence by Quest

Compared 23% of the time

Alation Data Catalog vs erwin Data Intelligence by Quest

Compared 11% of the time

Collibra Lineage vs erwin Data Intelligence by Quest

Compared 9% of the time

More erwin Data Intelligence by Quest Competitors

Product Reports

Ataccama ONE Platform

Download Ataccama ONE Platform product report

erwin Data Intelligence by Quest

Download erwin Data Intelligence by Quest product report

Also Known As

No data available

erwin DG, erwin Data Governance

Overview

Ataccama ONE Platform is a comprehensive data management and governance solution designed to address the challenges faced by organizations in managing and leveraging their data assets. Its primary use case is to enable organizations to gain control over their data, improve data quality, and ensure compliance with data regulations.

The most valuable functionality of Ataccama ONE includes data profiling, data quality management, data integration, master data management, and metadata management. These features allow organizations to understand the quality and structure of their data, integrate data from various sources, create a single view of their master data, and manage metadata to ensure data lineage and governance.

By leveraging Ataccama ONE, organizations can achieve several benefits. Firstly, it helps in improving data quality by identifying and resolving data issues, ensuring accurate and reliable data for decision-making. Secondly, it enables organizations to streamline data integration processes, reducing the time and effort required for data integration projects. Thirdly, it facilitates effective master data management, enabling organizations to have a consistent and accurate view of their critical data entities. Lastly, it helps organizations in complying with data regulations by providing data lineage, data privacy, and data governance capabilities.

Ataccama

The erwin Data Intelligence Suite (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central data catalog. Then make it accessible and understandable within context via role-based views. This complete metadata-driven approach to data governance facilitates greater IT and business collaboration.

erwin by Quest

Sample Customers

Société Générale, First Data, Raiffeisenbank International, T-Mobile, Avast, RSA, Toronto Public Library

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Ataccama ONE Platform vs. erwin Data Intelligence by Quest