

erwin Data Modeler and SS&C Blue Prism both compete in the realm of data solutions, with erwin focusing on data modeling while Blue Prism specializes in automation and integration. Based on feature capabilities, erwin appears to have a slight edge in data modeling due to its comprehensive support for automation and data governance.
Features: erwin Data Modeler offers visual model creation, efficient database code generation, and robust features like data lineage documentation. It automates consistency in data management, ensuring seamless transformation of data models. SS&C Blue Prism excels in powerful automation, ease of process flow creation, and impressive integration capabilities, effectively handling large data volumes and executing repetitive tasks.
Room for Improvement: erwin Data Modeler could enhance user navigation, improve reporting, and expand integration with modern databases and ETL functionalities. Enhancing language support and cloud capabilities is also recommended. SS&C Blue Prism could benefit from a more affordable pricing model, improved object recognition, and additional educational resources. An improved interface would aid users unfamiliar with automation tools.
Ease of Deployment and Customer Service: erwin Data Modeler primarily offers on-premises deployments with noteworthy customer service, although support can vary regionally, and technical support is sometimes inconsistent. SS&C Blue Prism provides flexible deployment options across on-premises and hybrid cloud environments, and is praised for rapid issue resolution, though pricing and setup pose challenges for smaller organizations.
Pricing and ROI: erwin Data Modeler is viewed as expensive, yet its comprehensive capabilities justify significant ROI through automation and data governance. Pricing could be more accessible for smaller markets or individual users. SS&C Blue Prism, though also on the pricier side, offers substantial ROI through automation for large organizations. However, its pricing is less competitive for smaller firms, signaling a need for a more flexible pricing model to enhance affordability.
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.
It saved a lot of money, with 50 to 60% of our cost saved, especially through automation.
I have more time to work on meaningful tasks since automation has been very helpful in automating repetitive and time-consuming tasks.
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.
They provide very detailed responses that enable us to handle any issues effectively.
The response times were slow to turn around.
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.
It is scalable from the solution perspective.
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.
I found it to be high on stability, and I would rate it at nine.
The solution is generally stable, though we have faced issues with increased transaction loads causing latency and occasional hang-ups.
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.
It was not developed in a consumption-based manner, however, rather in a fixed-price licensing model that did not account for volumes.
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.
The pricing model was not modern, as it wasn't designed on a consumption basis or as a service basis.
The licensing cost can be a bit expensive compared to its competitors.
Overall, my experience with pricing, setup cost, and licensing is that for large organizations and medium organizations, it is very cost-effective.
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.
Migrating DDLs using erwin Data Modeler is easy because I just connect to the database and generate the data model from what is already implemented, making the process straightforward.
I find the design studio, where I can build the automation, to be the most useful.
| Product | Mindshare (%) |
|---|---|
| erwin Data Modeler | 2.8% |
| SS&C Blue Prism | 1.3% |
| Other | 95.9% |


| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 3 |
| Large Enterprise | 38 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Large Enterprise | 7 |
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.
SS&C Blue Prism, renowned for its language capabilities and workflow design, supports detailed automation building, enhancing productivity. Despite some challenges like cost and limited integration, it offers substantial potential in automating diverse processes.
SS&C Blue Prism offers strong capabilities in document reading and a straightforward workflow design, making it accessible with basic BPM knowledge. Detailed automation design in the studio and effective monitoring in the control room are notable features. While facing higher costs and a steeper learning curve, it supports process mining and generative AI initiatives, crucial for industries aiming at transformation and activation services. Limited external system integration and lack of agile delivery encourage a strategic approach in its deployment.
What are the key features?
What ROI should users expect?
SS&C Blue Prism finds its application across industries. In service industries, it automates repetitive tasks while supporting migration projects. Within the insurance sector, it helps automate claims handling and pricing by integrating data efficiently. Companies use it when transitioning processes, such as upgrading systems from older versions to new applications.
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