erwin Data Modeler Reviews & Pricing

by erwin, Inc. | Founded 2016, Melville, New York

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What is erwin Data Modeler?

Industry Specialties: Automotive, Telecommunications, Financial services, Government, Retail, Energy and natural resources, Healthcare, Manufacturing, Media and entertainment, Utilities, Transportation.

erwin Data Modeler is a sophisticated software tool designed to facilitate data modeling tasks, including the creation, management, and optimization of data models. It is particularly well-suited for database administrators, data architects, and IT professionals who require robust data modeling capabilities to ensure data integrity and efficiency. The software supports both logical and physical data modeling, enabling users to visualize complex data structures and relationships effectively.

Key benefits of erwin Data Modeler include its ability to improve data quality, streamline database design processes, and enhance collaboration among team members. Popular features include automated schema generation, reverse engineering of databases, and comprehensive reporting tools. Users appreciate its intuitive interface and powerful functionality, which make it a preferred choice for managing large-scale data environments.

Compared to similar products, erwin Data Modeler is often praised for its extensive feature set and ease of use. Pricing details can vary based on specific needs and usage, so it is recommended to contact SelectHub for a tailored pricing quote.

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Based on 8 reviews:

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erwin Data Modeler Pricing

Based on our most recent analysis, erwin Data Modeler pricing starts at $299 (Monthly).

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Starting From: $299
Pricing Model: Monthly
Free Trial: Yes, Request for Free

Training Resources

erwin Data Modeler is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for erwin Data Modeler:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
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24/7 Live Support

erwin Data Modeler Benefits and Insights

Why use erwin Data Modeler?

Key differentiators & advantages of erwin Data Modeler

Improved Data Quality: Ensures data accuracy and consistency through comprehensive validation rules and standards enforcement.
Enhanced Collaboration: Facilitates teamwork by allowing multiple users to work on the same data model simultaneously, reducing silos and improving communication.
Streamlined Compliance: Helps meet regulatory requirements by providing clear documentation and traceability of data sources and transformations.
Reduced Redundancy: Identifies and eliminates duplicate data elements, optimizing storage and improving system performance.
Accelerated Development: Speeds up the design and implementation of databases with automated code generation and model-driven development.
Better Decision Making: Provides a clear, visual representation of data structures, aiding stakeholders in understanding and making informed decisions.
Cost Efficiency: Reduces the need for manual data management tasks, lowering operational costs and freeing up resources for other projects.
Scalability: Supports large-scale data environments, ensuring that models can grow with the organization’s needs without performance degradation.
Data Integration: Facilitates the integration of disparate data sources, creating a unified view of enterprise data for more comprehensive analysis.
Risk Mitigation: Identifies potential data issues early in the design phase, reducing the risk of costly errors and rework in later stages.
Enhanced Security: Provides robust security features to protect sensitive data, ensuring compliance with data protection regulations.
Customizability: Offers flexible modeling options to tailor data models to specific business requirements, enhancing relevance and usability.
Knowledge Retention: Captures and documents data models and business rules, preserving organizational knowledge and facilitating onboarding of new team members.
Interoperability: Supports various database platforms and standards, ensuring seamless integration with existing systems and future technologies.
Visualization Tools: Includes advanced visualization capabilities to create intuitive diagrams and reports, making complex data structures easier to understand.

Industry Expertise

erwin Data Modeler is best suited for organizations that need to manage complex data structures and workflows, and requires expertise in data modeling, database design, and data governance. This software is beneficial for professionals in IT, data governance teams, and data users who need to discover, govern, and share high-value data to drive business transformation.

erwin Data Modeler Reviews

Average customer reviews & user sentiment summary for erwin Data Modeler:

8 reviews

95%

of users would recommend this product

Synopsis of User Ratings and Reviews

Based on an aggregate of erwin Data Modeler reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

Intuitive Design: Erwin Data Modeler is lauded for its user-friendly interface, which simplifies the process of creating complex data models, making it accessible for both new and experienced data modelers.
Feature Rich: It provides extensive functionalities, including reverse and forward engineering, supporting a wide array of database platforms.
Collaborative: Erwin Data Modeler enables team collaboration by allowing multiple users to work on the same data model concurrently through its repository-based approach.
Visual Clarity: The tool excels in providing powerful visualization options, allowing users to easily comprehend and communicate intricate data models.

Cons

Performance Issues: Users have reported occasional lag, particularly when working with large data models, which can hinder productivity.
Cost: Erwin Data Modeler's pricing can be prohibitive for smaller organizations or those with limited budgets.
Learning Curve: While generally user-friendly, the software's extensive feature set can take time to master, especially for new users.

Researcher's Summary:

User reviews from the past year suggest that erwin Data Modeler remains a robust and dependable tool for data modeling, particularly for large enterprises and those working with complex database systems.

Users consistently praise erwin Data Modeler's ability to reverse engineer existing databases, saving them countless hours compared to manual documentation. This feature, as one user recounted, allowed them to understand a legacy application's structure in a mere 15 minutes. Another strength is its powerful comparison and synchronization capabilities, ensuring any changes made outside the modeling process are quickly identified and addressed. This is crucial for maintaining data integrity and consistency across an organization.

However, erwin Data Modeler isn't without its drawbacks. Several users point out its technical complexity, making it less suitable for individuals without formal training in data modeling or schema development. Additionally, some users express a desire for enhanced multi-language support within the tool to facilitate smoother collaboration with international teams, particularly when working on projects involving different languages, such as the experience shared by a user who faced difficulties collaborating with Japanese teams while working at Honda.

Overall, erwin Data Modeler proves to be a powerful ally for experienced data professionals working within large organizations, particularly those dealing with complex database systems and requiring robust reverse engineering and synchronization features. Its comprehensive functionality and industry-leading position make it a go-to choice for seasoned data modelers.

Key Features

Notable erwin Data Modeler features include:

Comprehensive Data Modeling: Supports logical, physical, and conceptual data models, allowing for a full spectrum of data architecture design.
Forward and Reverse Engineering: Enables the creation of database schemas from models and the generation of models from existing databases.
Metadata Management: Facilitates the management and integration of metadata across various data sources, ensuring consistency and accuracy.
Collaboration and Version Control: Provides multi-user collaboration features and version control to track changes and maintain model integrity.
Model Validation: Includes built-in validation rules to ensure data models adhere to best practices and organizational standards.
Reporting and Visualization: Offers robust reporting tools and visualization options to present data models in an understandable and actionable format.
Integration with Other Tools: Seamlessly integrates with other data management and business intelligence tools, enhancing overall data governance.
Customizable Templates: Allows the creation of reusable templates to standardize data modeling practices across projects.
Data Lineage Tracking: Tracks data lineage to provide a clear view of data flow and transformation from source to destination.
Support for Multiple Databases: Compatible with a wide range of database management systems, including Oracle, SQL Server, and MySQL.
Automated Model Generation: Automates the generation of data models from various data sources, reducing manual effort and errors.
Security Features: Includes role-based access control and other security measures to protect sensitive data within the models.
Impact Analysis: Provides tools to analyze the impact of changes in data models on downstream systems and processes.
Data Governance Integration: Integrates with data governance frameworks to ensure compliance with regulatory requirements and internal policies.
Scalability: Designed to handle large and complex data models, making it suitable for enterprise-level data architecture projects.