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Tonic User Guide
About Tonic
Getting started with Tonic
Managing your Tonic account
Frequently Asked Questions
Setting up and analyzing your workspace
Managing workspaces
Using Privacy Hub to identify and protect sensitive data
Tracking changes to the workspace configuration
Using the Privacy Report to verify data protection
Managing access to workspaces
Configuring data generation details
Database View
Table View
Table modes
Generators
Generator summary
Generator reference
Generator characteristics
Generator types
Assigning and configuring generators
Generator hints and tips
Managing generator presets
Configuring and using Tonic data encryption
Custom value processors
Subsetting data
Viewing and adding foreign keys
Running Tonic workflows
Running a data generation job
Viewing jobs and job details
Managing Tonic performance
Post-job scripts
Webhooks
Viewing and resolving schema changes
Installing and Administering Tonic
Tonic architecture
Using Tonic securely
Deploying a self-hosted Tonic instance
Managing user access to Tonic
Tonic monitoring and logging
Setting environment variables
Updating Tonic
Connecting to your data
About data connectors
Data connector summary
Amazon EMR
Amazon Redshift
Databricks
Google BigQuery
MongoDB
MySQL (also supports MariaDB)
Oracle
PostgreSQL
Snowflake on AWS
Spark SDK
Spark with Livy
SQL Server
Using the Tonic API
About the Tonic API
Getting an API token
Getting the workspace ID
Using the Tonic API to perform tasks
Example script: Starting a data generation job
Example script: Polling for a job status and creating a Docker package
Other resources
Release notes
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Generators
Generators transform the data in a source database column.
Generators allow you to assign a transformation to sensitive data. Tonic offers a variety of generators suited for handling different types of data.
About the available generators
Generator summary
Summary list of generators.
Generator reference
Details about the characteristics and configuration options for each generator.
Generator API reference
Details about the structure of each generator assignment in the API.
Generator characteristics and types
Generator characteristics
Common generator characteristics to be aware of, such as consistency and linking.
Composite generators
Composite generators apply a generator to a specific data element or based on a condition.
Primary key generators
Learn about generators that you can apply to primary key columns.
Assigning a generator to a column
Assigning and configuring generators
Assign a generator or to a column.
Managing generator presets
Set the default configuration for generators.
Hints and tips for assigning generators
Learn more about choosing and configuring the appropriate generator.
Using Tonic data encryption
Enable Tonic to decrypt source data and encrypt destination data.
Using the API
Use the Tonic API to assign and configure generators.
Configuring data generation details - Previous
Table modes
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Generator summary
Last modified
8d ago