

Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Legally, financially, and reputationally, addressing these data quality issues was crucial, and implementing Ataccama was a major step for them.
Money got saved and time got saved because previously, data quality was addressed through SQL and Python.
If three engineers save ten hours each per month using erwin Data Modeler versus manual modeling, that equals three hundred sixty hours saved per year.
It replaces manual charting in Visio with a structured tool, providing significant return on investment.
If the modeling is compromised, then the entire structure will be compromised.
MetLife worked with senior developers who made a positive impact on our experience.
We can raise a ticket using Jira, and they address it as soon as possible based on priority.
If it is a small issue, they tend to respond very quickly and they try to answer the question.
The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.
This rating reflects my ability to effectively utilize the tool and get support for licensing issues, installation errors, or corrupted repositories end-to-end.
Quest is committed to keeping the product robust.
As the volume increases, the performance of Ataccama ONE Platform decreases.
Ataccama ONE Platform's scalability is high, supporting large volumes of data and complex logic with flexible deployment options.
There was a concern with the architectural team about how much processing Ataccama ONE would need as usage scaled up.
I would rate it probably a nine, making it a leader in data modeling.
erwin Data Modeler had a very good standardization infrastructure and supported a controlled multi-user environment with check-ins and check-outs.
Performance can degrade during larger collaborations and requires tuning for optimal performance.
The updates were worth implementing, with no significant problems observed.
We are still developing the application, so there have not been many crashes or instabilities.
Ataccama ONE Platform is stable.
This lack of an auto-save methodology can be improved so that if a system crash occurs, work can be saved and rework can be avoided.
New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.
Sometimes when I want to open the attribute editor, it stops working and the whole application freezes.
The documentation part can be improved because documentation is key for any organization or tool.
It would be beneficial if these interactions could be more plug-and-play and less code-intensive, making them more efficient and easier to set up.
After every change and every match and merge rule you apply, you need to reprocess the entire record, which has to again go through the match and merge rules.
The previous version of erwin Data Modeler used to crash unaccountably, but this one hasn't ever crashed on me, so it's been a lot more stable than the previous version that we had.
There are many features, and I would expect good documentation detailing each feature, including when and how to use it, to be very useful because data modeling is not very popular in the data area and there aren't many educational videos regarding erwin Data Modeler.
Erwin Data Modeler could improve in areas such as the interface, as there are features like copy and paste, creating duplicates, and the visualization elements and toolbars which feel quite old.
What made the costing a problem with Ataccama ONE Platform is related to licensing, as it is every one year.
The only concern I had was that some features like address validation cost a little extra with the basic plan.
I have heard that the licensing and setup costs are quite high, especially if we try to connect for a support call.
For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month.
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
We were able to interface bidirectionally with Collibra for data governance, catching data quality issues before propagating through the system.
It is very good in scalability.
Ataccama ONE Platform has positively impacted our organization because before its implementation, completing tasks such as more than 100 or thousands of rules took more than a week. Now, we complete those tasks in less than two or three days due to the automation and one-time task capability.
One of the key aspects of data governance is defining the data dictionary and clearly identifying which data is accessible by whom and what is not accessible, particularly regarding PII-related data.
The way the data is organized and you have a visual of that organization helps a great deal in terms of trying to remember what you did and trying to retrieve the information.
One of the best aspects of the tool is its reverse engineering capability.
| Product | Market Share (%) |
|---|---|
| Ataccama ONE Platform | 2.3% |
| erwin Data Modeler | 0.3% |
| Other | 97.4% |


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 3 |
| Large Enterprise | 34 |
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?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.
Erwin Data Modeler provides an effective approach to visualizing and managing data models. It assists in creating, reversing, and synchronizing data models with ease, supporting logical and physical transitions while enhancing understanding across teams.
Erwin Data Modeler is a comprehensive tool designed for professional database management. It offers capabilities to organize and enforce standards, automating script generation with robust reverse engineering and DDL output. Users can manage complex data environments, capitalize on integration with data intelligence, and maintain large-scale databases smoothly. Despite its strengths, improvements in multi-language support, database integration, and reporting features are needed. Users benefit from extensive support for conceptual, logical, and physical database modeling, enhancing architectural design and data governance for platforms like SQL Server, Oracle, and Teradata.
What are the key features of Erwin Data Modeler?Erwin Data Modeler finds application in industries focused on robust data management, implementing it for enterprise data warehouses, business domain models, and operational systems. It supports architectural design and governance, aligning with business applications demanding precise data representation and visualization.
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