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 #28. Ataccama holds a 2.3% mindshare in DG, compared to Quest Software’s 1.8% 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

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1,330 Comparison Views

100% willing to recommend

erwin Data Intelligence

Read 18 erwin Data Intelligence reviews

2,788 Views
2,788 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: September 2025).

Buyer's Guide

Ataccama ONE Platform vs. erwin Data Intelligence

September 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 (3rd), Master Data Management (MDM) Software (4th)

erwin Data Intelligence

Ranking in Data Governance

28th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

AI Governance (17th)

Mindshare comparison

As of October 2025, in the Data Governance category, the mindshare of Ataccama ONE Platform is 2.3%, up from 2.2% compared to the previous year. The mindshare of erwin Data Intelligence is 1.8%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
Ataccama ONE Platform	2.3%
erwin Data Intelligence	1.8%
Other	95.9%

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

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

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

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

"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."

"It is also easy to deploy."

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

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

"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."

"Overall, DI's data cataloging, data literacy, and automation have helped our decision-makers because when a source wants to change something, we immediately know what the impact is going to be downstream."

"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 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."

"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."

"The solution saves time in data discovery and understanding our entire organization's data."

"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."

"We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation."

More erwin Data Intelligence pros

Cons

"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."

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

"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."

"Data movement is a pain."

"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."

"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 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."

"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."

"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."

"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."

"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."

"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."

"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."

"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."

More erwin Data Intelligence cons

Pricing and Cost Advice

"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 product is reasonably priced."

"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."

"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 is around $7,000 for user. This is an estimation."

"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."

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

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

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

"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 too high."

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

26%

Financial Services Firm

11%

Government

Non Profit

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	4
Large Enterprise	14

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

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Comparisons

Microsoft Purview Data Governance vs Ataccama ONE Platform

Compared 19% of the time

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

Compared 16% of the time

Collibra Governance vs Ataccama ONE Platform

Compared 12% 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 32% of the time

Collibra Governance vs erwin Data Intelligence

Compared 25% of the time

Alation Data Catalog vs erwin Data Intelligence

Compared 12% of the time

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

Compared 9% of the time

Microsoft Purview Compliance Manager vs erwin Data Intelligence

Compared 8% of the time

More erwin Data Intelligence Competitors

Product Reports

Buyer's Guide

Ataccama ONE Platform

September 2025

Download Ataccama ONE Platform product report

Buyer's Guide

erwin Data Intelligence

September 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

September 2025

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