

Erwin Data Modeler and Sparx Prolaborate both compete in the data management and collaboration category. Sparx Prolaborate excels in collaboration due to its robust capabilities and value.
Features: Erwin Data Modeler's strengths include comprehensive data modeling tools, extensive metadata management, and seamless integration capabilities. Sparx Prolaborate shines with advanced collaboration functionalities, support for enterprise architecture, and effective stakeholder communication.
Room for Improvement: Erwin Data Modeler could enhance user experience, provide better cloud support, and improve tool integration consistency. Sparx Prolaborate may benefit from more comprehensive training resources, enhanced customization options, and improved documentation quality for advanced features.
Ease of Deployment and Customer Service: Erwin Data Modeler offers user-friendly deployment with effective guidance and ample support throughout implementation. Sparx Prolaborate ensures quick deployment with responsive customer service, focusing on fostering user collaboration during deployment.
Pricing and ROI: Erwin Data Modeler is known for competitive pricing and solid ROI, appealing to those with detailed data modeling needs. Sparx Prolaborate justifies its setup cost with extensive platform capabilities, offering significant ROI through improved collaboration and project visibility.
| Product | Market Share (%) |
|---|---|
| erwin Data Modeler | 7.8% |
| Sparx Prolaborate | 1.5% |
| Other | 90.7% |

| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 3 |
| Large Enterprise | 33 |
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.
A high level tour of Sparx Systems latest product release, Prolaborate.
Prolaborate adds a vital information layer to Sparx Systems modeling tool suite, addressing the need of end users and non-modelers alike to be informed by the enterprise model.
In this webinar we'll show how Prolaborate empowers relevant stakeholders, including C-level executives, analysts and other business users, with curated views of the model.
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