Tonic

6.9
Expert ScoreRead review
  • Privacy-focused synthetic data generation
  • Uses machine learning
  • Protects sensitive information

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Tonic is a powerful test data generation tool that specializes in creating synthetic data that preserves the statistical properties of real data. It is designed with privacy in mind and uses differential privacy techniques to ensure data protection. Tonic can generate test data for a variety of use cases, including application testing, analytics, and machine learning. It offers a user-friendly interface, API integration, and support for multiple database types, including SQL and NoSQL databases.

6.9Expert Score
Tonic
  • Privacy-focused synthetic data generation
  • Uses machine learning
  • Protects sensitive information
General Features
8.5
Flexibility
6.3
System Coverage
4.4
Data Coverage
5.4
Cost
10
PROS
  • Data privacy focus
  • Integration with popular databases
  • Customizable data generation
CONS
  • May require scripting for complex data generation
  • Not suitable for small-scale projects
  • Higher cost compared to some alternatives

Specification: Tonic

Generic Features
Synthetic Test Data Creation

✅
Single-Click Test Data Generation

✅
Data Masking

✅
Auto-Detection of DB Constraints

✅
Identically Repeatable Data Generation

✅
On Demand Data Refresh (Watermark)

✅
Database Subsetting

✅
Multi-Database Subsetting

✅
Job Scheduling

✅
Continuous Integration Support

✅
Advanced Features
Consistency

✅
Custom SELECTS

✅
Data File Import

Unknown
Deterministic Data Masking

✅
Inter-column dependency support

✅
Localization

Unknown
Micro or Macrocosm Subsets

✅
Multi-Table Seed Data

✅
Primary And Foreign Key Synthesis

✅
Primary & Foreign Keys Preserved

✅
Privacy Verification

✅
Schema change alerts

✅
Table Truncation

✅
Extendibility & Customization
Custom Data Weighting

❌
Custom Generator Support

❌
Script Languages for data processing

Unknown
User-Defined Generators

❌
User-Defined Distribution Functions

❌
User-Defined Number Series

❌
Extension to custom software system types

❌
Pluggability of individual script languages

❌
User-Defined Data Converters

❌
User-Defined Data Validators

❌
Extension to individual file types

Unknown
Generation Types
Built-In Data Generators

50
Salesforce

❌
Security, Accessibility, and Usability
API

✅
Audit Trails

✅
Collaboration

✅
Command-line interface

❌
GUI

✅
On-Premise Deployment

✅
Role-Based Access Control

✅
Single Sign-On

✅
User Interface

WebApplication
Supported Systems
Advantage Database

❌
Amazon Aurora

✅
Amazon Redshift

✅
Apache Spark

✅
AWS S3

❌
BaaN

❌
Cassandra CQL

❌
Databricks

✅
DataWarehouse

❌
dBase

❌
EnterpriseDB (Postgres)

✅
Firebase

❌
Firebird

❌
GCP (Google Cloud Storage)

❌
Google BigQuery

✅
IBM DB2

✅
InfluxDB

❌
Informix

❌
Interbase

❌
JD Edwards

❌
JMS

❌
Kafka

❌
Microsoft Access

❌
Microsoft SQL Server

✅
MongoDB

✅
MS Azure SQL

✅
MySQL

✅
NexusDB

❌
Oracle

✅
Oracle E-Business Suite

❌
Oracle Transportation Management

❌
Peoplesoft

❌
PeopleSoft HCM

❌
PostgreSQL

✅
Siebel

❌
Snowflake

✅
SQL Anywhere

❌
SQLite

❌
Sybase

❌
Terradata

❌
Yellowbrick

✅
Supported Formats
CSV

❌
Fixed Column Width Files

❌
Excel

❌
XML

❌
SQL

❌
JSON

❌
AVRO

❌
EDIFACT

❌
YAML

❌
DbUnit XML

❌
HTML

❌
Licensing & Usage Tiers
Trial

✅
Free Plan

❌
Available Editions

Basic, Enterprise, Professional
Max Users

Unknown
Maximum number of databases

4
Source Database Limit

10 PB
Email-Support

✅
Live Chat Support

✅
SLA

✅
Support Languages

English
Dedicated Contact

✅
Pricing

Individual
Specification
Multiprocessing

Unknown
AI features

✅
Complex JSON

❌
Model-Based Data Generation

May require scripting for complex data generation
Good To Know
Learn More About Testing Data
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