Autodesk Vault

Autodesk Vault

Autodesk Vault is a data management software used to track revisions and manage Bill of Materials (BOMs) for design files. It integrates with Autodesk design tools like AutoCAD, Inventor, and Revit to manage CAD files.
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cad design engineering

Autodesk Vault: Data Management Software

A data management software tracking revisions and managing Bill of Materials (BOMs) for design files, integrating with Autodesk design tools like AutoCAD, Inventor, and Revit.

What is Autodesk Vault?

Autodesk Vault is a comprehensive data management software solution used to track revisions and manage Bill of Materials (BOMs) for design files. It seamlessly integrates with Autodesk design tools such as AutoCAD, Inventor, Revit, and more to provide enhanced file management capabilities.

Key features of Autodesk Vault include:

  • Revision control - Track changes to CAD files including who changed what and when
  • Bill of Materials management - Maintain up-to-date BOMs that update when design files change
  • Automated file lifecycle workflows - Ensure design files follow appropriate review and release processes
  • Secure file access - Manage user permissions and access to confidential design files
  • Reporting and analytics - Gain insights into design activity with overview reports and analytics
  • Integrations - Tight integration with Autodesk design tools for simplified file management

Autodesk Vault enables engineering teams in industries like manufacturing, architecture, and construction to implement standardized and automated design data management processes. This improves team collaboration and ensures accurate design information is available when needed across the organization.

Autodesk Vault Features

Features

  1. Revision control and file management
  2. Integration with Autodesk design tools
  3. Bill of Materials (BOM) management
  4. Workflow automation
  5. Data security and backup

Pricing

  • Subscription-Based

Pros

Tight integration with Autodesk design tools

Robust revision tracking and history

Centralized data management

Scalable for large datasets

Configurable user access controls

Cons

Steep learning curve

Expensive licensing model

Limited third-party integrations

Administration can be complex

Requires dedicated IT resources


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