Neosync is an open-source data security and synchronization platform designed to securely process and use production data in development and testing environments.
It addresses privacy and compliance risks when using real data in non-production environments by providing secure test datasets through data synchronization, anonymization, and synthetic data generation.
According to public information, it supports major relational databases such as PostgreSQL and MySQL, as well as object storage services like Amazon S3.
It offers multiple deployment options, including quick-start with Docker Compose, or deployment on Kubernetes via Helm charts. Users can integrate via CLI, API, or SDK.
Neosync is an MIT-licensed open-source project; its core code is free to use. For deployment, operations costs or potential commercial services, refer to the official documentation.
The platform provides data anonymization, masking, and synthetic data generation features to help reduce exposure of sensitive data in non-production environments, but the actual effectiveness and compliance should be evaluated by users according to their regulatory requirements.
Primarily aimed at developers, data engineers, DevOps engineers, and AI/ML engineers who work with data in non-production environments.
Yes, it provides APIs and a CLI and supports GitOps, designed to integrate into automated development and deployment pipelines.
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