DiskSavvy Flexense Computing Systems Ltd.
winget install --id=Flexense.DiskSavvy -e
DiskSavvy is a powerful disk space usage analyzer allowing one to analyze disks, network shares, NAS storage devices and enterprise storage systems. The user is provided with the ability to analyze one or more disks, directories or network shares, detect directories and files using significant amounts of the disk space, generate various types of pie charts, save disk space usage reports and perform disk space usage history trend analysis operations. The user is provided with the ability to analyze one or more disks, directories or network shares, detect directories and files using significant amounts of the disk space, generate various types of pie charts, save disk space usage reports and perform disk space usage history trend analysis operations. DiskSavvy allows one to save disk space analysis results to a number of standard formats including HTML, PDF, Excel, JSON, XML, CSV, text and the native DiskSavvy report format. In addition, IT and storage administrators are provided with the ability to export disk space analysis results from multiple servers and/or NAS storage devices to a centralized SQL database and then perform advanced disk space usage history trend analysis operations and display disk space usage per server and disk space usage per user.
DiskSavvy is a powerful disk space usage analyzer designed to analyze disks, network shares, NAS storage devices, and enterprise storage systems. It provides users with comprehensive tools to gain insights into how disk space is utilized, enabling efficient file management and optimization.
Key Features:
- Real-Time Disk Space Analysis: Analyze one or more disks, directories, or network shares to identify files and directories consuming significant disk space.
- Visualizations and Reports: Generate detailed pie charts and save reports in various formats, including HTML, PDF, Excel, JSON, XML, CSV, and the native DiskSavvy report format.
- Track disk space usage history over time to identify patterns and optimize storage utilization.