+
+

Related Products

  • Windocks
    7 Ratings
    Visit Website
  • Parasoft
    148 Ratings
    Visit Website
  • Okyline
    2 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • Google Cloud Platform
    61,012 Ratings
    Visit Website
  • Codemagic
    137 Ratings
    Visit Website
  • Innoslate
    93 Ratings
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website
  • Uptime.com
    478 Ratings
    Visit Website
  • SurveyJS
    62 Ratings
    Visit Website

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Usage based
charged per API call
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

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
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Security Features

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Integrations

Microsoft Azure
Salesforce
Amazon Web Services (AWS)
Ansible
Capgemini Intelligent Automation Platform
Cloud Foundry
Cucumber
DXC Cloud
Databricks
Decision Moments
Delphix
FitNesse
Gatling
Gerrit Code Review
Google Cloud BigQuery
HCL Accelerate
JUnit
Kubernetes
SaltStack
Vagrant

Integrations

Microsoft Azure
Salesforce
Amazon Web Services (AWS)
Ansible
Capgemini Intelligent Automation Platform
Cloud Foundry
Cucumber
DXC Cloud
Databricks
Decision Moments
Delphix
FitNesse
Gatling
Gerrit Code Review
Google Cloud BigQuery
HCL Accelerate
JUnit
Kubernetes
SaltStack
Vagrant
Claim GenRocket and update features and information
Claim GenRocket and update features and information
Claim Protecto and update features and information
Claim Protecto and update features and information