Ataccama ONE Platform vs erwin Data Intelligence comparison

Ataccama and Quest Software are both solutions in the Data Governance category. Ataccama is ranked #11 with an average rating of 8.0, while Quest Software is ranked #18 with an average rating of 7.0. Ataccama holds a 2.5% mindshare in DG, compared to Quest Software’s 1.9% mindshare. Additionally, 100% of Ataccama users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Ataccama ONE Platform

Read 10 Ataccama ONE Platform reviews

2,497 Views
1,398 Comparison Views

100% willing to recommend

erwin Data Intelligence

Read 18 erwin Data Intelligence reviews

3,040 Views
3,040 Comparison Views

100% willing to recommend

Ataccama ONE Platform

erwin Data Intelligence

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Executive SummaryUpdated on Aug 19, 2025

Ataccama ONE Platform and erwin Data Intelligence are prominent competitors in the data management industry. While Ataccama ONE Platform shows expertise in deployment and support, erwin Data Intelligence offers superior features and value proposition.

Features: Ataccama ONE Platform provides robust data quality management, data governance, and master data management. erwin Data Intelligence excels in data modeling, data impact analysis, and metadata management, supporting data visualization and insights.

Room for Improvement: Ataccama ONE Platform could enhance its analytical capabilities and metadata integration. Its interface, although effective, may benefit from modernization and increased automation features. erwin Data Intelligence can improve deployment simplicity, making its rich features more accessible. Its user interface can be streamlined for better navigation and reduced complexity.

Ease of Deployment and Customer Service: Ataccama ONE Platform is recognized for its smooth deployment and excellent customer support, allowing easy onboarding. erwin Data Intelligence, although supported well, may demand detailed setup because of its comprehensive functionalities.

Pricing and ROI: Ataccama ONE Platform offers competitive pricing with the potential for rapid ROI due to its cost-effective setup. erwin Data Intelligence requires a higher initial investment, justified by advanced features and long-term benefits, attracting those seeking extensive data capabilities.

To learn more, read our detailed Ataccama ONE Platform vs. erwin Data Intelligence Report (Updated: July 2025).

Buyer's Guide

Ataccama ONE Platform vs. erwin Data Intelligence

July 2025

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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), Data Scrubbing Software (2nd), Master Data Management (MDM) Software (4th)

erwin Data Intelligence

Ranking in Data Governance

18th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Governance category, the mindshare of Ataccama ONE Platform is 2.5%, up from 2.0% compared to the previous year. The mindshare of erwin Data Intelligence is 1.9%, 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.

Read full review

Quotes from Members

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

Pros

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

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

"The data profile itself is excellent. You can understand the quality of the data in layman's terms."

"It is also easy to deploy."

"The ease of use of the user console is 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 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."

"Data Intelligence allows us to automate multiple tasks we had previously done manually, such as restructuring the metadata for our purposes, setting up ETL flows, and defining the data tables we create. It also enables us to standardize our approach and our technical processes."

"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."

"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."

"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."

"erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint."

"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."

More erwin Data Intelligence pros

Cons

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

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

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

"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."

"They could focus more on marketing the product. The current marketing strategy is not working."

"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."

"Data movement is a pain."

"Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature."

"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 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."

"It's a little bit clunky. I think a lot of these features were bolted on, and they don't necessarily transition smoothly in the interface. I would like to see a little more cohesion."

"The data quality assessment requires third-party components and a separate license."

"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."

"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."

"There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in."

"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."

More erwin Data Intelligence 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."

"The product is reasonably priced."

"There is no need to buy a license. You can just download it and use it for free."

"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 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."

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

"We operate on a yearly subscription and because it is an enterprise license we only have one. It is not dependent on the number of users."

"The price is too high."

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

"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 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."

More erwin Data Intelligence pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

10%

Computer Software Company

Insurance Company

Computer Software Company

25%

Financial Services Firm

10%

Government

Non Profit

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

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...

See all answers

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...

See all answers

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

The data mapping manager is the most valuable feature.

See all answers

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

The price is reasonable, and a subscription is required.

See all answers

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...

See all answers

Comparisons

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

Compared 17% of the time

Microsoft Purview Data Governance vs Ataccama ONE Platform

Compared 17% of the time

Collibra Governance vs Ataccama ONE Platform

Compared 13% of the time

Talend Data Quality vs Ataccama ONE Platform

Compared 8% of the time

Profisee vs Ataccama ONE Platform

Compared 5% of the time

More Ataccama ONE Platform Competitors

Microsoft Purview Data Governance vs erwin Data Intelligence

Compared 34% of the time

Collibra Governance vs erwin Data Intelligence

Compared 25% of the time

Alation Data Catalog vs erwin Data Intelligence

Compared 11% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs erwin Data Intelligence

Compared 10% of the time

Collibra Lineage vs erwin Data Intelligence

Compared 9% of the time

More erwin Data Intelligence Competitors

Product Reports

Buyer's Guide

Ataccama ONE Platform

August 2025

Download Ataccama ONE Platform product report

Buyer's Guide

erwin Data Intelligence

August 2025

Download erwin Data Intelligence product report

Also Known As

Ataccama DQ Analyzer

erwin DG, erwin Data Governance

Overview

Ataccama ONE Platform provides a comprehensive solution for profiling, cleansing, and integrating data with a user-friendly drag-and-drop interface, enhancing data quality and governance.

Ataccama ONE Platform enhances data profiling and cleansing with easy configuration and robust integration, such as with Collibra. Users value its drag-and-drop capabilities, supporting mainframe, AI, and machine learning. The platform improves data security through profiling and masking while offering extensive integration options. Some areas needing improvement include large database handling and batch management. Additional support for social media data sources, better documentation, and clearer language would be beneficial. Enhanced interfaces, particularly with Collibra, and refined notification systems are desired. This platform suits users seeking improvements in data quality, governance classification, and data migration, connecting with sources like Microsoft SQL, Oracle, and Teradata.

What are the key features of Ataccama ONE Platform?

Data Profiling and Cleansing: Enhances data quality with easy configuration.
Flexible Integration: Seamless integration with platforms like Collibra.
Drag-and-Drop Interface: Provides ease in workflow management.
Support for AI and Machine Learning: Offers advanced analytical capabilities.
Data Security: Ensures protection with profiling and masking features.

What benefits and ROI can users expect?

Improved Data Quality: Enhances data accuracy and reliability.
Enhanced Governance: Facilitates better metadata classification and compliance.
Increased Efficiency: Streamlines data integration and transformation processes.
Advanced Analytics: Leverages AI for insightful data analysis.

In industries like finance and healthcare, Ataccama ONE Platform facilitates data quality management and ensures compliance by connecting with data sources such as Microsoft SQL and Oracle. These industries utilize it for data migration tasks, ensuring data integrity through mapping and transformation processes.

Ataccama

Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.

Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.

What are the main features of Erwin Data Intelligence?

Automation Scripts: Speeds up development processes through powerful scripts.
Data Catalog: Supports comprehensive data mapping and profiles for better analysis.
Smart Data Connectors: Efficiently handles code engineering and metadata harvesting.
Customization Flexibility: Adapts to existing infrastructure for seamless integration.
Comprehensive Visualization: Empowers data visualization and standardization processes.

What benefits and ROI can users expect?

Increased Development Speed: Automation scripts notably enhance development efficiency.
Improved Data Governance: Streamlines processes, supporting compliance and business definitions.
Effective Integration: Seamlessly fits with ETL tools and existing workflows.
Enhanced Data Literacy: Supports data literacy initiatives with robust cataloging features.
Comprehensive Impact Analysis: Facilitates thorough analysis for informed decision-making.

In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.

Quest Software

Sample Customers

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

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Buyer's Guide

Ataccama ONE Platform vs. erwin Data Intelligence

July 2025

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