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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

At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.

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

Data engineers, data architects, data scientists, data testers, CIOs and business leaders

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 Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

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

Pricing

No information available.
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:

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Reviews/Ratings

Overall 3.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5

Pros & Cons from Real Users

Pros

  • 1.Great integration fast 1-2 months instead of a year . 2.good performance due to clustering(cassandra) 3.In memory data management 4. Standard SQL to query data 5.Good scalability 6.New and efficient ETL solution

Cons

  • 1.solution cost at least 1M $! 2.k2view uses it's own deployment team.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

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

Company Information

K2View
Founded: 2009
United States
k2view.com

Alternatives

Alternatives

CloudTDMS

CloudTDMS

Cloud Innovation Partners
Sixpack

Sixpack

PumpITup
IRI DarkShield

IRI DarkShield

IRI, The CoSort Company
Delphix

Delphix

Perforce
Gretel

Gretel

Gretel.ai
dbt

dbt

dbt Labs

Categories

Categories

Data Fabric Features

Data Access Management Not Supported
Data Analytics Not Supported
Data Collaboration Not Supported
Data Lineage Tools Supported
Data Networking / Connecting Supported
Metadata Functionality Supported
No Data Redundancy Not Supported
Persistent Data Management Not Supported

Data Management Features

Customer Data Not Supported
Data Analysis Not Supported
Data Capture Not Supported
Data Integration Supported
Data Migration Supported
Data Quality Control Not Supported
Data Security Not Supported
Information Governance Not Supported
Master Data Management Supported
Match & Merge Not Supported

Integration Features

Dashboard Not Supported
ETL - Extract / Transform / Load Supported
Metadata Management Not Supported
Multiple Data Sources Not Supported
Web Services Not Supported

Integrations

Salesforce Supported
Amazon Web Services (AWS) Supported
BlueSwan Supported
CA Flowdock Supported
Chef Supported
Cognizant Supported
DXC Cloud Supported
Eclipse IDE Supported
FitNesse Supported
GitEye Supported
GitHub Supported
IBM Rational Build Forge Supported
IBM WebSphere Application Server Supported
Jenkins Supported
Kubernetes Supported
Maven Supported
Microsoft Azure Supported
Model Context Protocol (MCP) Not Supported
SaltStack Supported
Scratchpad Supported

Integrations

Salesforce Supported
Amazon Web Services (AWS) Not Supported
BlueSwan Not Supported
CA Flowdock Not Supported
Chef Not Supported
Cognizant Not Supported
DXC Cloud Not Supported
Eclipse IDE Not Supported
FitNesse Not Supported
GitEye Not Supported
GitHub Not Supported
IBM Rational Build Forge Not Supported
IBM WebSphere Application Server Not Supported
Jenkins Not Supported
Kubernetes Not Supported
Maven Not Supported
Microsoft Azure Not Supported
Model Context Protocol (MCP) Supported
SaltStack Not Supported
Scratchpad Not Supported
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