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What is Tonic?

Tonic offers an automated approach to creating mock data that preserves key characteristics of sensitive datasets, which allows developers, data scientists, and sales teams to work efficiently while maintaining confidentiality. By mimicking your production data, Tonic generates de-identified, realistic, and secure datasets that are ideal for testing scenarios. The data is engineered to mirror your actual production datasets, ensuring that the same narrative can be conveyed during testing. With Tonic, users gain access to safe and practical datasets designed to replicate real-world data on a large scale. This tool not only generates data that looks like production data but also acts in a similar manner, enabling secure sharing across teams, organizations, and international borders. It incorporates features for detecting, obfuscating, and transforming personally identifiable information (PII) and protected health information (PHI). Additionally, Tonic actively protects sensitive data through features like automatic scanning, real-time alerts, de-identification processes, and mathematical guarantees of data privacy. It also provides advanced subsetting options compatible with a variety of database types. Furthermore, Tonic enhances collaboration, compliance, and data workflows while delivering a fully automated experience to boost productivity. With its extensive range of features, Tonic emerges as a vital solution for organizations navigating the complexities of data security and usability, ensuring they can handle sensitive information with confidence. This makes Tonic not just a tool, but a critical component in the modern data management landscape.

What is Newtera?

Testing is an essential technical function throughout the stages of product development, manufacturing, and maintenance. It plays a vital role in improving product performance, extending product longevity, boosting quality, and controlling costs efficiently. However, many organizations struggle with a significant volume of disorganized test data that often goes unused. The primary challenge is to effectively organize and manage this varied and intricate test data, which presents a considerable obstacle for test managers. Furthermore, the judicious distribution of testing resources, the effective use of test benches and equipment, and the standardization of testing protocols are critical for ensuring both precision and efficiency; unfortunately, these factors frequently impede the overall testing capabilities and productivity within the company. To address these testing-related challenges, the Test Data Management (TDM) system was created as a holistic solution. This innovative system is designed to optimize the testing workflow and significantly improve overall productivity. By implementing such a system, organizations can better harness their test data and resources, ultimately enhancing their competitive edge in the market.

Media

Media

Integrations Supported

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

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Tonic

Date Founded

2018

Company Location

United States

Company Website

www.tonic.ai/

Company Facts

Organization Name

Newtera

Date Founded

1992

Company Location

China

Company Website

www.newtera.com

Categories and Features

Categories and Features

Test Data Management

Not specified

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