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  • Welcome to Syntho
  • Overview
    • Get started
      • Syntho bootcamp
        • 1. What is Syntho?
        • 2. Introduction data anonymization
        • 3. Connectors & workspace creation
        • 4. PII scan
        • 5. Generators
          • Mockers
          • Maskers
          • AI synthesize
          • Calculated columns
          • Free text de-identification
        • 6. Referential integrity & foreign keys
        • 7. Workspace synchronization & validation
        • 8. Workspace & user management
        • 9. Large workloads​
        • 10. AI synthesis: Data pre-processing when using
      • Prerequisites
      • Sample datasets
      • Introduction to data generators
      • AI-generated synthetic data
    • Frequently asked questions
  • Setup Workspaces
    • View workspaces
    • Create a workspace
      • Connect to a database
        • PostgreSQL
        • MySQL / MariaDB
        • Oracle
        • Microsoft SQL Server
        • DB2
        • Databricks
          • Importing Data into Databricks
        • Hive
        • SAP Sybase
        • Azure Data Lake Storage (ADLS)
        • Amazon Simple Storage Service (S3)
      • Workspace modes
    • Edit a workspace
    • Duplicate a workspace
    • Transfer workspace ownership
    • Share a workspace
    • Delete a workspace
    • Workspace default settings
  • Configure a Data Generation Job
    • Configure table settings
    • Configure column settings
      • AI synthesize
        • Sequence model
          • Prepare your sequence data
        • QA report
        • Additional privacy controls
        • Cross-table relationships limitations
      • Mock
        • Text
          • Supported languages
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • Other
      • Mask
        • Text
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • UUID
      • Duplicate
      • Exclude
      • Consistent mapping
      • Calculated columns
      • Key generators
        • Differences between key generators
      • JSON de-identification
    • Manage personally identifiable information (PII)
      • Privacy dashboard
      • Discover and de-identify PII columns
        • Identify PII columns manually
        • Automatic PII discovery with PII scanner
      • Remove columns from PII list
      • Automatic PII discovery and de-identification in free text columns
      • Supported PII & PHI entities
    • Manage foreign keys
      • Foreign key inheritance
      • Add virtual foreign keys
        • Add virtual foreign keys
        • Use foreign key scanner
        • Import foreign keys via JSON
        • Export foreign keys via JSON
      • Delete foreign keys
    • Validate and synchronize workspace
    • View and adjust generation settings
  • Deploy Syntho
    • Introduction
      • Syntho architecture
      • Requirements
        • Requirements for Docker deployments
        • Requirements for Kubernetes deployments
      • Access Docker images
        • Online
        • Offline
    • Deploy Syntho using Docker
      • Preparations
      • Deploy using Docker Compose
      • Run the application
      • Manually saving logs
      • Updating the application
      • Backup
    • Deploy Syntho using Kubernetes
      • Preparations
      • Deploy Ray using Helm
        • Upgrading Ray CRDs
        • Troubleshooting
      • Deploy Syntho using Helm
      • Validate the deployment
      • Troubleshooting
      • Saving logs
      • Upgrading the applications
      • Backup
    • Manage users and access
      • Single Sign-On (SSO) in Azure
      • Manage admin users
      • Manage non-admin users
    • Logs and monitoring
      • Does Syntho collect any data?
      • Temporary data storage by application
  • Syntho API
    • Syntho REST API
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  • One platform, multiple approaches
  • Why choose Syntho?

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  1. Overview
  2. Get started
  3. Syntho bootcamp

1. What is Syntho?

PreviousSyntho bootcampNext2. Introduction data anonymization

Last updated 17 days ago

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Check out a demo video of Syntho:


One platform, multiple approaches

Syntho unifies all synthetic data generation approaches into a single solution. It supports:

  • Data masking: directly modifies sensitive fields to anonymize them while maintaining data formats

  • AI-generated synthetic data: uses advanced generative models to create entirely new, statistically representative data that has no direct link to original records

  • Test data management: supports robust testing environments by providing safe, compliant, and realistic data alternatives

Whether you need to develop software, test integrations, or analyze data, Syntho allows you to generate synthetic data tailored for development, testing, or acceptance environments, commonly referred to as a synthetic data twin of your real environment.

Why choose Syntho?

Syntho is designed to be:

Most versatile

Use and combine all available data generation methods in one place—AI synthesis, masking, mockers, calculated columns, and more.

Fastest

Accelerate your workflows with minimal setup, optimized batch processing, and automation for test data creation.

Easy to use

Designed for both technical and non-technical users, Syntho offers a collaborative interface with features like role-based access, connector templates, and a privacy dashboard to support every stage of the data lifecycle.

In summary, Syntho empowers teams to safely and quickly generate data that protects privacy while preserving utility, enabling faster innovation and broader data access without the risks.

Syntho is an all-in-one platform for generating privacy-safe synthetic data. It enables organizations to create high-quality, statistically accurate datasets that mirror the original data—without compromising sensitive information.