TrackStudio Enterprise is one of the most flexible Java-based issue tracking systems available, supporting the widest range of commercial and open source application servers and DBMSs. TrackStudio Enterprise can be run on any computer platform. 

The following major new features have been incorporated in TrackStudio 3.2:

• A new AJAX-based user interface has been implemented.
• The ability to assign tasks to user statuses (groups) has been added.
• The ability to create and manage access control rules for users has been added.
• The ability to assign permissions, create e-mail notification rules, and filter subscription rules for user statuses has been added.
• Extensive support for custom fields has been added, to allow hiding custom fields when necessary.
• The ability to set task description templates for each task category has been added.
• Custom task processing logic can be implemented with triggers.
• A very flexible CSV import feature has been added, to simplify data migration from other issue tracking software packages.
• CSV export has been added, to simplify data analysis using third-party software (like Microsoft Excel).
• Microsoft Project export has been added.
• E-mail import rules have been improved significantly. You can now match keywords using Regular Expressions, and create multiple e-mail import rules per task. Further, TrackStudio can even create user accounts when e-mail messages come from unknown users.
• Available values for String custom fields can now be created as drop down menus.
• You can now control task visibility based on categories using the Can View category permission.
• A graphic visualization of workflow has been added.
• The ability to modify filter conditions directly from the Reports page has been added.
• A pie chart was added for Distribution and UserWorkload report types.
• The completely new KlipFolio integration allows you to notify users about issue changes, via RSS syndication.
• MySQL 4.1 support has been added.
• NTLM user authentication has been added.
• Major performance improvements were made, especially when using large databases (30000-50000 tasks).