+
+

Related Products

  • Windocks
    7 Ratings
    Visit Website
  • Google Cloud SQL
    553 Ratings
    Visit Website
  • Google Cloud Run
    347 Ratings
    Visit Website
  • IPVanish
    111 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • SMS Storetraffic
    124 Ratings
    Visit Website
  • Visual Visitor
    251 Ratings
    Visit Website
  • dbt
    263 Ratings
    Visit Website
  • CirrusPrint
    2 Ratings
    Visit Website
  • Virtuoso QA
    131 Ratings
    Visit Website

About

Describe your data model on an abstract level in XML. Involve your business people as no developer skills are necessary. Use a wide range of function libraries to fake realistic data. Write your own extensions in Javascript or Java. Integrate your data processes into Gitlab CI or Jenkins. Generate, anonymize, and migrate with Benerator’s model-driven data toolkit. Define processes to anonymize or pseudonymize data in plain XML on an abstract level without the need for developer skills. Stay GDPR compliant with your data and protect the privacy of your customers. Mask and obfuscate sensitive data for BI, test, development, or training purposes. Combine data from various sources (subsetting) and keep the data integrity. Migrate and transform your data in multisystem landscapes. Reuse your testing data models to migrate production environments. Keep your data consistent and reliable in a microsystem architecture.

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.

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

Anyone in search of a solution to manage, anonymize, migrate, and generate production data

Audience

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

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

No information available.
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

Benerator
Germany
www.benerator.de/

Company Information

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

Alternatives

Alternatives

CloudTDMS

CloudTDMS

Cloud Innovation Partners
IRI FieldShield

IRI FieldShield

IRI, The CoSort Company
Sixpack

Sixpack

PumpITup
Gretel

Gretel

Gretel.ai

Categories

Categories

Integrations

Jenkins
Ansible
CA Flowdock
Cucumber
Docker
FitNesse
Git
GitHub
GitLab
HCL Accelerate
IBM WebSphere Application Server
JSON
JUnit
Java
Maven
Nexus AP & Payments Automation
RapidDeploy
SaltStack
Scratchpad
VMware Cloud

Integrations

Jenkins
Ansible
CA Flowdock
Cucumber
Docker
FitNesse
Git
GitHub
GitLab
HCL Accelerate
IBM WebSphere Application Server
JSON
JUnit
Java
Maven
Nexus AP & Payments Automation
RapidDeploy
SaltStack
Scratchpad
VMware Cloud
Claim Benerator and update features and information
Claim Benerator and update features and information
Claim GenRocket and update features and information
Claim GenRocket and update features and information