About Stellar Phoenix Windows Data Recovery
Stellar Phoenix Windows Data Recovery is a data recovery software from Stellar Information Technology Pvt. Ltd. that helps recover lost, deleted, or formatted data from various Windows devices including desktops, laptops, mobiles, or servers. It combines features like the ability to recover lost or deleted data from any Windows device, and DIY data recovery tools, so users can perform data recovery independently. The software supports recovery from different file systems including NTFS, FAT, and exFAT for comprehensive data restoration. It allows users to preview recoverable files before completing the recovery process. Key capabilities: recover data from hard drives restore files from formatted partitions support multiple file formats perform data recovery from external drives create disk images for recovery Best for: users that need to recover lost or deleted data from Windows devices.
Stellar Phoenix Windows Data Recovery Details
Stellar Phoenix Windows Data Recovery's In-App Market Place
Does Stellar Phoenix Windows Data Recovery have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($)
Pros & Cons
- • Effective Data Recovery: Recovers a wide range of file types from various storage devices.
- • User-Friendly Interface: Easy-to-use interface for both technical and non-technical users.
- • Strong Recovery Capabilities: Handles complex data loss scenarios, including formatted drives, system crashes, and virus attacks.
- • Preview Functionality: Allows users to preview recoverable files before recovery.
- • Regular Updates: The software is regularly updated to improve performance and add new features.
- • Customer Support: Provides reliable customer support to assist users.
- • Slow Scan Times: Deep scans can be time-consuming, especially for large drives.
- • Limited Free Version: The free version has limitations on the amount of data recoverable.
- • Complex Scenarios: May not be effective in highly complex data loss scenarios.