Gretel

4.4
Expert ScoreRead review
  • AI-driven synthetic data generation
  • Real-time data anonymization
  • Enhances data privacy and security

Added to wishlistRemoved from wishlist 0
Add to compare
Category:

Gretel is a test data generation tool that specializes in creating synthetic data while preserving the statistical properties of real data. It uses advanced techniques, such as differential privacy, to ensure data protection and compliance. Gretel supports a variety of use cases, including application testing, analytics, and machine learning, and offers API integration for easy integration with other tools and services. With its user-friendly interface, Gretel allows users to generate realistic synthetic test data while maintaining data privacy and compliance.

4.4Expert Score
Gretel
  • AI-driven synthetic data generation
  • Real-time data anonymization
  • Enhances data privacy and security
General Features
3
Flexibility
2.9
System Coverage
0.4
Data Coverage
5.8
Cost
10
PROS
  • Privacy-focused synthetic data generation
  • User-friendly interface
  • REST API for easy integration
CONS
  • Requires programming knowledge
  • Higher cost compared to some alternatives
  • May not be suitable for small-scale projects

Specification: Gretel

Generic Features
Synthetic Test Data Creation

Single-Click Test Data Generation

Unknown

Data Masking

Auto-Detection of DB Constraints

Unknown

Identically Repeatable Data Generation

Unknown

On Demand Data Refresh (Watermark)

Unknown

Database Subsetting

Unknown

Multi-Database Subsetting

Unknown

Job Scheduling

Unknown

Continuous Integration Support

Unknown

Advanced Features
Consistency

Unknown

Custom SELECTS

Unknown

Data File Import

Unknown

Deterministic Data Masking

Unknown

Inter-column dependency support

Unknown

Localization

Unknown

Micro or Macrocosm Subsets

Unknown

Multi-Table Seed Data

Unknown

Primary And Foreign Key Synthesis

Unknown

Primary & Foreign Keys Preserved

Unknown

Privacy Verification

Unknown

Table Truncation

Unknown

Extendibility & Customization
Custom Data Weighting

Unknown

Custom Generator Support

Unknown

Script Languages for data processing

Unknown

User-Defined Generators

Unknown

User-Defined Distribution Functions

Unknown

User-Defined Number Series

Unknown

Extension to custom software system types

Unknown

Pluggability of individual script languages

Unknown

User-Defined Data Converters

Unknown

User-Defined Data Validators

Unknown

Extension to individual file types

Unknown

Generation Types
Built-In Data Generators

Unknown

Salesforce

Security, Accessibility, and Usability
API

Collaboration

Command-line interface

GUI

On-Premise Deployment

Unknown

User Interface

Browser / Cloud

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

Dev, Enterprise, Team

Max Users

Unknown

Maximum number of databases

Unknown

Source Database Limit

Unknown

Email-Support

Live Chat Support

SLA

12h

Support Languages

English

Dedicated Contact

Pricing

Individual

Specification
Multiprocessing

unlimited

AI features

Unknown

Complex JSON

Model-Based Data Generation

Requires programming knowledge

Test Data Tools Comparison: Find the Best Tool for Your Needs
Logo
Compare items
  • Total (0)
Compare
0
Shopping cart