# Neosync Data anonymization and synthetic data. Source: [Console review]() Website: [https://www.neosync.dev/]() Profile updated: 2026-10-16 Category: [Database management]() ## Supported tech stack Research checked: 2026-10-11 ### Integrates with - Docker (Integration) - JavaScript (Language) - Kubernetes (Integration) - MySQL (Integration) - PostgreSQL (Integration) - S3 (Integration) Source: [Research source]() Documented compatibility; coverage may be incomplete. Written in describes implementation, not user-project language support. Data synchronization supports JavaScript transformations, PostgreSQL, MySQL and S3 with Docker/Kubernetes deployment. ## Console’s review — 2024-06-20 Reviewed: 2024-06-20 Author: [David Mytton]() Citation: [This review]() ### What we like Anonymizes data based on analyzing the source. Generates realistic synthetic data based on your schema. Configurable mapping and transformation to control how data is represented in the anonymized / synthesized form. Can provide representative subsets of real data for use in test rather than needing a full copy of the huge prod database. Open source so can be run independently. ### Tradeoffs Needs more database support - currently Postgres, MySQL, MongoDB. Large cloud warehouses like BigQuery or ClickHouse are missing. This review reflects Console’s assessment at publication on 2024-06-20. Features and limitations may have changed since the review date. ## Is Neosync a fit? Based on [Console’s review published on 2024-06-20](). Summary updated: 2026-10-16 ### Who it’s for Developers who need to anonymize and synthesize data for testing purposes ### Why consider it Generates realistic synthetic data based on your schema ### Keep in mind It has limited database support [Selection criteria]() · [About Console]() · [Browse tools]()