Neosync
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Neosync
Overview :
Neosync is a platform focused on data privacy and security, offering anonymization and synthetic data techniques to provide developers with secure, high-quality copies of production data for local development and testing. Its main advantages include powerful data processing capabilities, flexible configuration options, and seamless integration with various databases. Neosync aims to address the inefficiencies and security issues associated with manually creating mock data by automating processes to significantly reduce data preparation time while ensuring compliance with privacy regulations such as GDPR and HIPAA. The product offers a free trial, making it suitable for development teams that need to securely use production data in local environments.
Target Users :
Neosync is primarily aimed at development teams, including developers, data engineers, and AI/ML engineers, assisting them in securely using production data in local environments for development, testing, and debugging. By leveraging anonymization and synthetic data techniques, Neosync provides developers with high-quality data compliant with privacy regulations, thereby enhancing development efficiency and reducing the risk of data breaches.
Total Visits: 21.2K
Top Region: US(28.99%)
Website Views : 49.4K
Use Cases
A healthcare tech company used Neosync to anonymize sensitive health data and sync it to the development environment, reducing data preparation time from 2-4 weeks to just 2 days.
A fintech company integrated Neosync's API and SDK into the development process, ensuring developers use secure copies of production data locally while meeting data security requirements.
An e-commerce platform utilized Neosync's synthetic data generator to provide realistic data for the development team, used for testing new features and resolving issues in the production environment.
Features
Data Anonymization: Protect sensitive data through masking, deletion, obfuscation, and other techniques.
Synthetic Data Generation: Provide 45+ pre-built synthetic data converters to create realistic data.
Data Synchronization: Sync anonymized and synthetic data to multiple environments, supporting scheduled or on-demand synchronization.
Data Subsetting: Use SQL queries to extract data subsets while maintaining data relationship integrity.
Custom Converters: Allow users to create custom converters within the code.
Multi-Target Synchronization: Support syncing data to multiple databases and object storage platforms.
Developer Tools: Provide CLI, SDK, API, and Terraform modules for convenient integration.
Support for Structured and Unstructured Data: Compatible with both relational and non-relational databases.
How to Use
Visit the Neosync official website and register an account.
Connect and integrate source and target databases, supporting various database and object storage platforms.
Configure data schemas and converters, select the tables to be synced, and establish anonymization or synthetic data rules.
Use SQL queries to subset the data, minimizing the data volume or extracting specific datasets.
Set up data synchronization schedules or manually trigger synchronization tasks to sync anonymized and synthetic data to the target environment.
Monitor the execution of synchronization tasks using the logging features provided by Neosync.
Use the synchronized data for development and testing in your local development environment.
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