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About

Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

About

While enterprise data is exploding and scattered across various systems, oversight of driving privacy, data security, and governance has become very challenging. As a result, businesses hold significant risks in the form of data breaches, privacy lawsuits, and penalties. Finding data privacy risks in an enterprise is a complex, and time-consuming effort that takes months involving a team of data engineers. Data breaches and privacy laws are requiring companies to have a better grip on which users have access to the data, and how the data is used. But enterprise data is complex, so even if a team of engineers works for months, they will have a tough time isolating data privacy risks or quickly finding ways to reduce them.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Enterprises searching for a synthetic test data solution to model their applications and databases

Audience

Organizations in need of a solution that helps safeguard security and compliance with privacy regulations

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Usage based
charged per API call
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

GenRocket
Founded: 2012
United States
www.genrocket.com/enterprise-features/

Company Information

Protecto
Founded: 2021
United States
www.protecto.ai/

Alternatives

Alternatives

CloudTDMS

CloudTDMS

Cloud Innovation Partners
Sixpack

Sixpack

PumpITup
Gretel

Gretel

Gretel.ai

Categories

Categories

Data Discovery Features

Contextual Search Supported
Data Classification Supported
Data Matching Not Supported
False Positives Reduction Supported
Self Service Data Preparation Not Supported
Sensitive Data Identification Supported
Visual Analytics Not Supported

Data Security Features

Alerts / Notifications Not Supported
Antivirus/Malware Detection Not Supported
At-Risk Analysis Not Supported
Audits Supported
Data Center Security Not Supported
Data Classification Supported
Data Discovery Supported
Data Loss Prevention Supported
Data Masking Supported
Data-Centric Security Supported
Database Security Not Supported
Encryption Supported
Identity / Access Management Supported
Logging / Reporting Supported
Mobile Data Security Not Supported
Monitor Abnormalities Not Supported
Policy Management Supported
Secure Data Transport Not Supported
Sensitive Data Compliance Supported

Integrations

Microsoft Azure Supported
Salesforce Supported
Amazon Redshift Not Supported
CA Flowdock Supported
Chef Supported
Cloud Foundry Supported
Cucumber Supported
Decision Moments Supported
Delphix Supported
Eightfold.ai Supported
Gatling Supported
GitEye Supported
GitHub Supported
IBM WebSphere Application Server Supported
P4 Supported
Stash Supported
VMware Cloud Supported
Vagrant Supported
Visual Studio Supported
Wipro Cloud Studio Supported

Integrations

Microsoft Azure Supported
Salesforce Supported
Amazon Redshift Supported
CA Flowdock Not Supported
Chef Not Supported
Cloud Foundry Not Supported
Cucumber Not Supported
Decision Moments Not Supported
Delphix Not Supported
Eightfold.ai Not Supported
Gatling Not Supported
GitEye Not Supported
GitHub Not Supported
IBM WebSphere Application Server Not Supported
P4 Not Supported
Stash Not Supported
VMware Cloud Not Supported
Vagrant Not Supported
Visual Studio Not Supported
Wipro Cloud Studio Not Supported
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Claim GenRocket and update features and information
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