R-Studio Data Recovery

What Is R-Studio Data Recovery?

A comprehensive data recovery and undelete program renowned for its ability to recover mission-critical data lost to viruses, malicious attacks, and hardware failures or operating system crashes. It supports FAT12/16/32, NTFS/NTFS5, HFS/HFS+ (Macintosh), UFS1/UFS2 (Unix), Ext2FS/3FS/4FS (Linux) file systems and functions on local and network disks, even if partitions are formatted, damaged or deleted. RAID and dynamic disks support.

Who Uses R-Studio Data Recovery?

Business continuity solution that lets businesses of all sizes manage drive image, PC privacy, data recovery, disk encryption, and more.

R-Studio Data Recovery Details

R-Tools Technology

R-Studio Data Recovery Details

R-Tools Technology

R-Studio Data Recovery videos and images

R-Studio Data Recovery video
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Starting price


Free Version

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Free Trial

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R-Studio Data Recovery deployment and support


  • Email/Help Desk
  • FAQs/Forum
  • Knowledge Base
  • Phone Support
  • 24/7 (Live rep)


  • Mac (Desktop)
  • Windows (Desktop)
  • Linux (Desktop)


  • Documentation

R-Studio Data Recovery Features

  • "What If" Scenarios
  • AI/Machine Learning
  • Action Management
  • Activity Dashboard
  • Alerts/Notifications
  • Approval Workflow
  • Backup and Recovery
  • Business Continuity Exercising
  • Business Impact Analysis
  • Compliance Management
  • Crisis Management
  • Disaster Recovery
  • Document Management
  • Emergency Notification
  • Incident Management
  • Incident Response Checklists
  • Monitoring
  • Multi-Channel Communication
  • Plan Development
  • Policy Management
  • Reporting & Statistics
  • Risk Assessment
  • Risk Management
  • Scenario Planning
  • Secure Data Storage
  • Task Management
  • Third Party Integrations
  • Vendor Risk Management
  • Vulnerability Management
  • Workflow Management

View full list of Business Continuity

  • API
  • Access Controls/Permissions
  • Activity Dashboard
  • Activity Tracking
  • Audit Management
  • Audit Trail
  • Automatic Backup
  • Collaboration Tools
  • Compliance Management
  • Customer Database
  • Customisable Reports
  • Dashboard Creation
  • Data Analysis Tools
  • Data Capture and Transfer
  • Data Connectors
  • Data Extraction
  • Data Import/Export
  • Data Integration
  • Data Mapping
  • Data Migration
  • Data Quality Control
  • Data Security
  • Data Storage Management
  • Data Synchronisation
  • Data Verification
  • Data Visualisation
  • Database Support
  • Document Storage
  • Drag & Drop
  • Full Text Search
  • Information Governance
  • Master Data Management
  • Match & Merge
  • Metadata Management
  • Monitoring
  • Multiple Data Sources
  • Projections
  • Real Time Analytics
  • Real Time Data
  • Real Time Reporting
  • Reporting & Statistics
  • Reporting/Analytics
  • SSL Security
  • Secure Data Storage
  • Task Scheduling
  • Third Party Integrations
  • User Management
  • Version Control
  • Visual Analytics
  • Workflow Management

View full list of Data Management

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R-Studio Data Recovery Reviews

Read all 71 reviews

Average score

Ease of Use
Customer Service
Value for Money

Reviews by company size (employees)

  • <50
  • 51-200
  • 201-1,000
  • >1,001
Jason L.
Jason L.
Hospitality Intelligence Consultant in US
Verified LinkedIn User
Hospitality, 11-50 Employees
Used the Software for: 2+ years
Reviewer Source

Easy IDE

5 3 years ago

Comments: I use R Studio on a daily basis to interact with data. It's my go-to software anytime I need to do something too big for Excel or something that might need to be repeated.


Such a user-friendly IDE. It makes managing all of my active data objects, visualizations, and packages extremely easy.


Nobody will ever accuse R or R Studio in being the fastest or most memory-efficient software.

Evelyn B.
Evelyn B.
UX Researcher in US
Verified LinkedIn User
Health, Wellness & Fitness, 10,000+ Employees
Used the Software for: 2+ years
Reviewer Source

Great for stats!

4 last year

Comments: Overall, it is a great tool for stats analysis. I would recommend it to any analyst.


I like that this software is easy to use and learn. It is helpful for statistical modeling and doesnt require too much training.


I do not like that it does not have as much help documentation as other tools i have used.

Marie S.
Teacher in US
Education Management, 51-200 Employees
Used the Software for: 6-12 months
Reviewer Source

R-Studio, Computing

3 8 months ago

Comments: Overall, I found it difficult to use. It has a lot of functionality and some great plotting features, but I have found other programs that are a lot easier to use that do the same tasks.


I like the way you can easily put a lot of code on one line and separate work easily. The functionality of exporting makes it easier to add onto the code or even import it into already, made work, like Word documents.


There's a lot of confusing aspects about this software. Sometimes, the errors make it really difficult to figure out what's wrong and there should be more help support, and online information

Aastha B.
Aastha B.
Sr. Project Manager in India
Verified LinkedIn User
Market Research, 51-200 Employees
Used the Software for: 6-12 months
Reviewer Source

R Studio Review 2020

5 2 years ago

Comments: Data Visualization, Tabulation, Data Analysis


R is a great software. Its a standalone software that helps in meeting all the data analysis tasks like - Data Processing, Data Tabulation, WEighting, Data Visualization , Reporting, Data Transformation everything. To become a Data Scientist we need to understand R. Most if the features are free of cost.


There are long codes if we can reduce the coding a bit and can add drag and drop features. Otherwise its a great tool.

Jay M.
Jay M.
Student in India
Verified LinkedIn User
Industrial Automation, Self Employed
Used the Software for: 6-12 months
Reviewer Source

Simply Amazing!

5 2 years ago

Comments: I have made an image classifier on both, Python and R.


I work on datasets while pursuing my ambition to be a part of Data Science. The first and foremost step is to process the given data. Earlier I used to use Pycharm for all my work but R-Studio is the one tool I missed. I realized that lately. It has already inbuilt libraries which reduce the code and hence the workload by half. All you need to do is call the given library.


I couldn't find any flaw as such. Even if you work on Python or R, your code must be correct. Be careful about the indexing as it is different in both. Also, sometimes python helps in detailed analysis.