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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Testing serves as a crucial technical process during product development, manufacturing, and maintenance. It significantly contributes to enhancing product performance, prolonging product lifespan, elevating product quality, and managing expenses effectively. Despite its importance, many enterprises find themselves with a vast amount of unorganized test data that remains underutilized. The challenge lies in how to efficiently manage and structure this diverse and complex test data, which poses a significant hurdle for test managers. Additionally, the rational allocation of testing resources, optimal utilization of test benches and equipment, and the standardization of testing procedures are essential to ensure both accuracy and efficiency, yet these issues often hinder the overall testing capabilities and efficiency within the organization. In light of these challenges faced by companies in their testing operations, the Test Data Management (TDM) system was developed to provide a comprehensive solution. This system aims to streamline the testing process and enhance overall productivity.

Description

Tonic provides an automated solution for generating mock data that retains essential features of sensitive datasets, enabling developers, data scientists, and sales teams to operate efficiently while ensuring confidentiality. By simulating your production data, Tonic produces de-identified, realistic, and secure datasets suitable for testing environments. The data is crafted to reflect your actual production data, allowing you to convey the same narrative in your testing scenarios. With Tonic, you receive safe and practical data designed to emulate your real-world data at scale. This tool generates data that not only resembles your production data but also behaves like it, facilitating safe sharing among teams, organizations, and across borders. It includes features for identifying, obfuscating, and transforming personally identifiable information (PII) and protected health information (PHI). Tonic also ensures the proactive safeguarding of sensitive data through automatic scanning, real-time alerts, de-identification processes, and mathematical assurances of data privacy. Moreover, it offers advanced subsetting capabilities across various database types. In addition to this, Tonic streamlines collaboration, compliance, and data workflows, delivering a fully automated experience to enhance productivity. With such robust features, Tonic stands out as a comprehensive solution for data security and usability, making it indispensable for organizations dealing with sensitive information.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Aurora
Amazon Redshift
Apache Spark
Databricks
Google Cloud BigQuery
MongoDB
MySQL
Oracle Database
PostgreSQL
SQL Server
Snowflake
Yellowbrick

Integrations

Amazon Aurora
Amazon Redshift
Apache Spark
Databricks
Google Cloud BigQuery
MongoDB
MySQL
Oracle Database
PostgreSQL
SQL Server
Snowflake
Yellowbrick

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Newtera

Founded

1992

Country

China

Website

www.newtera.com

Vendor Details

Company Name

Tonic

Founded

2018

Country

United States

Website

www.tonic.ai/

Product Features

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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