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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Streamline the lengthy processes of data handling, such as structuring, labeling, and preprocessing tasks. Centralize your data management within a single, easily integrable platform for enhanced efficiency. Rapidly enhance data accessibility through the use of synthetic data that prioritizes privacy and user-friendly exchange platforms. With the Aindo synthetic data platform, securely share data not only within your organization but also with external service providers, partners, and the AI community. Uncover new opportunities for collaboration and synergy through the exchange of synthetic data. Obtain any missing data in a manner that is both secure and transparent. Instill a sense of trust and reliability in your clients and stakeholders. The Aindo synthetic data platform effectively eliminates inaccuracies and biases, leading to fair and comprehensive insights. Strengthen your databases to withstand exceptional circumstances by augmenting the information they contain. Rectify datasets that fail to represent true populations, ensuring a more equitable and precise overall representation. Methodically address data gaps to achieve sound and accurate results. Ultimately, these advancements not only enhance data quality but also foster innovation and growth across various sectors.

Description

Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

BlueSwan No 
CA Flowdock No 
Chef No 
Cloud Foundry No 
Cognizant No 
Cucumber No 
DXC Cloud No 
Docker No 
Eightfold.ai No 
Git No 
HCL Accelerate No 
IBM WebSphere Application Server No 
Kubernetes No 
Maven No 
Mercurial No 
Nexus AP & Payments Automation No 
Rackspace OpenStack No 
Salesforce No 
Vagrant No 
Wipro Cloud Studio No 

Integrations

BlueSwan Yes 
CA Flowdock Yes 
Chef Yes 
Cloud Foundry Yes 
Cognizant Yes 
Cucumber Yes 
DXC Cloud Yes 
Docker Yes 
Eightfold.ai Yes 
Git Yes 
HCL Accelerate Yes 
IBM WebSphere Application Server Yes 
Kubernetes Yes 
Maven Yes 
Mercurial Yes 
Nexus AP & Payments Automation Yes 
Rackspace OpenStack Yes 
Salesforce Yes 
Vagrant Yes 
Wipro Cloud Studio Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Aindo

Country

Italy

Website

www.aindo.com

Vendor Details

Company Name

GenRocket

Founded

2012

Country

United States

Website

www.genrocket.com/enterprise-features/

Product Features

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