Data Scramblr
Data Scramblr is a data anonymization and pseudonymization tool that helps protect personal and sensitive information. It can scramble, mask, and generate fake but realistic data for testing, development, and analytics.
data-anonymization
pseudonymization
privacy
gdpr-compliance
Data Scramblr: Data Anonymization Tool
Data Scramblr is a data anonymization and pseudonymization tool that helps protect personal and sensitive information. It can scramble, mask, and generate fake but realistic data for testing, development, and analytics.
What is Data Scramblr?
Data Scramblr is a powerful data anonymization and pseudonymization application used to help protect personal or sensitive information in datasets. It works by scrambling, masking, or generating fake but realistic data to replace the original sensitive values.
Some key features of Data Scramblr include:
- Ability to scramble text, dates, numbers, and other data types to make them unreadable
- Masking using robust encryption, hashing, tokenization, and data-type preservation
- Smart data generation to produce fake but realistic names, addresses, credit card numbers, etc.
- Retains data formats, patterns, distributions for accurate analytics and testing
- Complies with data protection regulations such as GDPR and CCPA
- Works with a wide variety of file formats and databases
- APIs and integrations with other applications
- Advanced data profiling for in-depth analysis of the data
Data Scramblr enables safe analytics, machine learning model development, testing of systems using real-world data, sharing data with third parties, and more while ensuring compliance with regulations. Its robust pseudonymization capabilities allow protecting data while preserving utility.
Data Scramblr Features
Features
- Data Anonymization
- Data Pseudonymization
- Scramble and Mask Data
- Generate Fake but Realistic Data
- Supports Multiple Data Types
- Intuitive User Interface
- Batch Processing Capabilities
- Integration with Other Tools
Pricing
- Free
- Freemium
- One-time Purchase
- Subscription-Based
Pros
Enhances data privacy and security
Enables safe data testing and development
Generates realistic data for analytics
Easy to use and configure
Supports a variety of data formats
Cons
May require some technical expertise to set up
Limited customization options in some pricing tiers
Potential performance impact on large datasets
Official Links
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