Neosync
Open-source data anonymization and synthetic dataSafe production data copies for dev and testing
Highlights
What you can do with it
- A healthcare firm anonymized health data and cut prep time from weeks to days
- A fintech firm wired Neosync into its process for safe local copies
- An e-commerce platform generated synthetic data for feature testing
How to use it
- 1 Register on the Neosync website
- 2 Connect your source and target databases
- 3 Configure schemas and converters for the tables you need
- 4 Use SQL queries to subset the data
- 5 Set a sync schedule or trigger it manually
- 6 Monitor the job with logging and use the data locally
Who it is for
Pros
- Automates anonymization and synthetic data, saving setup time
- Open source with CLI, SDK, API, and Terraform support
- Helps teams use production-like data without exposing it
Limitations
- Setup needs technical knowledge of your data model
- Anonymization rules must be configured carefully to avoid leaks
- Free trial and open-source terms can change
What Neosync is
Neosync is an open-source platform focused on data privacy and security. It offers anonymization and synthetic data techniques so developers can work with secure, high-quality copies of production data in local development and testing instead of building mock data by hand. It can protect sensitive values through masking, deletion, and obfuscation, and it provides more than 45 pre-built synthetic data converters to create realistic records. It also supports data subsetting with SQL, syncing to multiple databases and object storage, and developer tooling such as CLI, SDK, API, and Terraform. Neosync offers a free trial and aims to cut data prep time while supporting rules like GDPR and HIPAA.
What you can do with it
- Anonymize sensitive data before it reaches dev or test
- Generate synthetic data with 45-plus converters
- Subset data with SQL while keeping relationships intact
- Sync safe copies to multiple databases and object storage
- Wire it into your pipeline with CLI, SDK, API, or Terraform
Who it is for
- Developers who need realistic data for local work
- Teams that must keep sensitive data out of dev environments
- Companies working under GDPR or HIPAA requirements
- Platform teams that manage data across many environments
What to watch out for
Neosync needs real setup: you must understand your data model and configure anonymization and synthetic rules carefully, or sensitive values can slip through, so test your configuration before trusting it. It is open source with a free trial, but the trial limits and the open-source terms can change, so review the current license and pricing. It reduces the risk of exposing production data, yet it does not replace your own security review and compliance checks, and you remain responsible for how the anonymized or synthetic data is stored and shared.
FAQ
What is Neosync?
It is an open-source data anonymization and synthetic data generation tool for safe local development and testing.
Is there a free trial?
Yes. Neosync offers a free trial for teams that need to use production data securely.
Does it help with compliance?
It is designed to support privacy regulations such as GDPR and HIPAA by keeping sensitive data out of dev environments.
Why it is free
What the official page says： free trial
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
