Bizagi and Erwin Data Modeler are competitive tools in the realms of business process management and data modeling, respectively. Bizagi holds an edge with its ease of use and comprehensive process management capabilities.
Features: Bizagi is recognized for its process modeling, automation, and integration capabilities. It offers users a free modeler component, making it appealing for newcomers. Erwin Data Modeler shines in visualizing databases and managing complex data sources. Its advanced modeling and engineering capabilities make it valuable for extensive data infrastructure solutions.
Room for Improvement: Bizagi encounters performance and stability challenges in handling large processes, along with licensing concerns and the demand for more intuitive RPA features. Erwin Data Modeler faces criticism for its outdated interface and limited user-friendliness, with calls for improved documentation and broader support for contemporary database platforms.
Ease of Deployment and Customer Service: Bizagi offers flexibility with on-premises and cloud deployment, and users generally commend its customer service. Erwin Data Modeler is primarily limited to on-premises deployment, with feedback suggesting a need for more current deployment choices. While customer service is considered good, quicker responses are desired.
Pricing and ROI: Bizagi ranges from a free basic version to higher-priced enterprise features, sometimes deemed costly for wider deployments. Erwin Data Modeler's pricing is considered high but provides value for detailed data modeling needs. Both products promise returns on investment, with Bizagi emphasizing process efficiencies and Erwin enhancing data management.
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 is a community product, there is not much support we can expect.
The toolset is very intuitive, so we didn’t need to contact their support much.
The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.
Quest is committed to keeping the product robust.
Erwin Data Modeler requirements function at a standard level.
There is no direct scalability option.
If I rate scalability from one to ten, I would probably give it a six.
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.
Regarding scalability, erwin Data Modeler is performing well; from a few tables to 100 tables, it is working effectively so far.
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.
Reporting capabilities can be improved more, and community support should be increased.
For more mature environments, the integration to live systems is lacking, which affects its applicability.
The decision map could be improved to allow more than three options at a decision point.
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.
Bizagi's pricing is very aggressive, and it was one of the reasons we chose it.
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
It is open source.
The user interface is very good, making it easy for business people to understand.
Bizagi has rich functionalities; compared to other BPMN tools, it has more features.
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 (%) |
|---|---|
| Bizagi | 10.3% |
| erwin Data Modeler | 2.5% |
| Other | 87.2% |
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 16 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 3 |
| Large Enterprise | 34 |
Bizagi’s industry-leading low-code process automation platform connects people, applications, robots, and information. As the most business-friendly and flexible solution on the market, Bizagi enables true collaboration between business and IT, delivering faster adoption and success. Fuelled by a community of 1 million users, Bizagi powers over 1,000 organizations worldwide including Adidas, BAE Systems, and Old Mutual. For more information visit www.bizagi.com
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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