erwin Data Modeler
About erwin Data Modeler
Erwin Data Modeler is a data modeling tool from Quest Software Inc. that helps visualize metadata and database schema to understand complex data sources and design and deploy new ones. It provides support for multiple languages, including English, Portuguese, Chinese, French, and German, so users across different regions can utilize the tool effectively. The software includes features for data architecture modeling, database design, and reporting functionalities, assisting teams in making informed decisions about their data strategies. Additionally, it offers integration capabilities with various data sources for comprehensive data analysis. Key capabilities: metadata visualization database schema design multi-language support reporting functionalities data architecture modeling Best for: data professionals that need to understand and manage complex data environments.
erwin Data Modeler by Quest, an undisputed market leader for over three decades, serves as the cornerstone for robust data management strategies, empowering organizations to conquer data chaos and unlock invaluable insights. Its core strength lies in its ability to visually clarify complex data structures and relationships, whether residing in traditional relational databases, modern NoSQL systems, on-premises data warehouses, or cloud-based data lakes. This unparalleled breadth of support, coupled with features like automated data model and database schema generation, significantly reduces manual effort, minimizes errors, and accelerates development cycles. The software also plays a pivotal role in establishing strong data governance frameworks, ensuring data quality, consistency, and regulatory compliance through standardized definitions and formats, and even offering Git integration for version control. For businesses navigating the complexities of data migration and modernization, erwin Data Modeler provides critical capabilities like accurate data mapping, transformation, and integration across legacy and new platforms, minimizing risks and downtime.
Pros & Cons
- +Powerful and versatile tool for enterprise-level data modeling
- +Supports reverse engineering from existing databases
- +Enables collaborative modeling with version control features
- +Facilitates creation of data dictionaries and SQL code generation
- +Widely recognized as an industry standard for data architecture
- −May have a steep learning curve for beginners
- −Limited feedback on integration with modern cloud platforms
- −Interface could feel outdated compared to newer tools
- −Some UI elements (especially in legacy modules) could feel outdated
- −Occasional performance issues with large or complex models
Features
Key features
- Visual Data Modeling
- Create ER diagrams and visual models of data architecture
- Schema Generation
- Auto-generate database schemas from logical or physical models
- Reverse Engineering
- Generate data models from existing databases
- Complete Compare
- Bi-directional model/database sync with difference detection
- ER360 Portal
- Collaborative visualization and stakeholder access
- Git Integration
- Supports version control and collaboration
- Data Standardization
- Enforce data naming, datatype, and domain standards
- Metadata Integration
- Exports/imports metadata for governance/catalog tools
- NoSQL Support
- Includes modeling features for NoSQL and hybrid environments
- Cloud Support
- Accelerates schema engineering for platforms like Snowflake, Azure
Additional features
- Graphical ER Modeling
- Create entity-relationship diagrams for comprehensive data architecture planning.
- Logical and Physical Modeling
- Model data at various abstraction levels for design, implementation, and analysis.
- Forward and Reverse Engineering
- Generate models from databases and vice versa for efficiency and consistency.
- Schema Generation (DDL)
- Generate DDL scripts for multiple database systems from your data models.
- Complete Compare & Sync
- Bi-directional model/database syncing with difference tracking and ALTER script generation.
- Git Integration
- Collaborate with teams using Git for version control of data models.
- Model Templates and Macros
- Automate repetitive tasks using reusable templates and automation macros.
- Bulk Editing Tools
- Modify large sets of objects across models to save time.
- Metadata Bridges
- Import/export metadata from other modeling platforms and tools.
- Conceptual Modeling
- Create high-level abstract models for business-focused planning.
- Logical Modeling
- Define data elements and relationships regardless of physical constraints.
- Physical Modeling
- Design detailed implementations considering DBMS-specific settings.
- Customizable Interface
- Tailor the modeling environment for better usability and alignment with preferences.
- ER360 Portal
- Visual collaboration platform for publishing and reviewing models online.
- Business Glossary Integration
- Link models to business glossaries to support data governance.
- Model Validation
- Automatically validate models against custom or default rules.
- Cloud and Big Data Integration
- Connect with platforms like Snowflake, AWS, Azure, Google BigQuery, and more.
- Data Governance Tools
- Establish standards and ensure compliance via integrated data governance features.
- Data Migration Mapping
- Map and transform data during legacy system migrations or modernization.
- Hybrid Architecture Support
- Design models for environments combining traditional and NoSQL data stores.
- Centralized Model Repository
- Share and manage models using erwin Mart or cloud-based repository.
- Auto-Documentation
- Automatically generate documentation from existing schema and models.
- Security Controls
- Manage user access and editing rights for enterprise-grade data governance.
- Version Control
- Track model changes and maintain historical versions for auditability.
- Impact Analysis
- Identify dependencies and understand change impact across the data landscape.
Pricing
Countries & Languages
Interface languages
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About erwin Data Modeler
Erwin Data Modeler is a data modeling tool from Quest Software Inc. that helps visualize metadata and database schema to understand complex data sources and design and deploy new ones. It provides support for multiple languages, including English, Portuguese, Chinese, French, and German, so users across different regions can utilize the tool effectively. The software includes features for data architecture modeling, database design, and reporting functionalities, assisting teams in making informed decisions about their data strategies. Additionally, it offers integration capabilities with various data sources for comprehensive data analysis. Key capabilities: metadata visualization database schema design multi-language support reporting functionalities data architecture modeling Best for: data professionals that need to understand and manage complex data environments.
erwin Data Modeler Details
erwin Data Modeler's In-App Market Place
Does erwin Data Modeler have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹)
Pros & Cons
- Powerful and versatile tool for enterprise-level data modeling
- Supports reverse engineering from existing databases
- Enables collaborative modeling with version control features
- Facilitates creation of data dictionaries and SQL code generation
- Widely recognized as an industry standard for data architecture
- May have a steep learning curve for beginners
- Limited feedback on integration with modern cloud platforms
- Interface could feel outdated compared to newer tools
- Some UI elements (especially in legacy modules) could feel outdated
- Occasional performance issues with large or complex models
erwin Data Modeler's Support Options
Email Address
info@erwin.comContact
1 949 754 8000Documentation
https://support.quest.com/technical-documentsCommunity Forums
https://community.erwin.com/erwin Data Modeler's Alternatives
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