Camunda and erwin Data Modeler compete in enterprise process automation and data modeling, respectively. Camunda holds the upper hand in process automation features, while erwin specializes in advanced data modeling and visualization capabilities.
Features: Camunda is recognized for its lightweight architecture supporting BPMN, CMMN, and DMN standards, an open-source model allowing for flexible customization, and seamless integration with REST APIs. erwin Data Modeler offers superior data visualization, strong reverse engineering and synchronization features, and comprehensive data management support.
Room for Improvement: Camunda users call for better navigation between diagrams, improved UI, and enhanced integration with more technology stacks and cloud databases. erwin Data Modeler requires more efficient reporting, better integration with cloud systems, and updates to its pricing structure for different regions.
Ease of Deployment and Customer Service: Camunda provides flexible deployment across private, hybrid, and public clouds with celebrated community support, though there are concerns about standardized support costs. erwin Data Modeler offers strong on-premises deployment and streamlined customer service, but users sometimes face licensing complexities.
Pricing and ROI: Camunda is cost-effective in its open-source form, though enterprise licenses can be pricey. It offers good ROI through enhanced process efficiency and reduced development time. erwin Data Modeler, while more expensive, justifies its cost with extensive features and concurrent licensing, providing value in complex data modeling tasks.
It replaces manual charting in Visio with a structured tool, providing significant return on investment.
AWS provides the best support, followed by Microsoft, and then Google.
They provide better support for the enterprise edition.
Quest is committed to keeping the product robust.
Camunda offers a high level of scalability, especially when using its SaaS model, which manages and scales implementations automatically.
It allows for easy scaling, especially with ECS service configurations.
I would rate it probably a nine, making it a leader in data modeling.
There haven't been any significant outages in my experience with Camunda.
New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.
More open documentation would be beneficial to understand the deployment process better and facilitate easier setup.
There is an issue where, in some situations, I need to scale up by observing both CPU and memory usage of containers, yet under the current options available at Amazon, this is not possible.
AWS pricing is very competitive compared to Azure and cheap compared to Google.
There is a licensing cost for using the SaaS model and Enterprise edition of Camunda.
ECS also allows for horizontal scalability with thresholds that can be configured for CPU or memory.
Transitioning from a logical to a physical environment with just a switch is key.
Camunda enables organizations to orchestrate processes across people, systems, and devices to continuously overcome complexity and increase efficiency. A common visual language enables seamless collaboration between business and IT teams to design, automate, and improve end-to-end processes with the required speed, scale, and resilience to remain competitive. Hundreds of enterprises such as Atlassian, ING, and Vodafone orchestrate business-critical processes with Camunda to accelerate digital transformation. To learn more visit camunda.com.
erwin pioneered data modeling, and erwin Data Modeler (erwin DM) remains trusted, award-winning software for data modeling and database design, automating complex and time-consuming tasks. Use it to discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives – all while supporting data governance and intelligence efforts.
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