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What is Tumult Analytics?

Created and consistently enhanced by a skilled team of experts in differential privacy, this innovative system is currently in use by organizations like the U.S. Census Bureau. Built on the Spark framework, it effectively manages input tables containing billions of records. The platform features a wide and growing selection of aggregation functions, data transformation operations, and privacy frameworks. Users have the capability to perform public and private joins, implement filters, or use custom functions on their datasets. It allows for the calculation of counts, sums, quantiles, and more while adhering to various privacy models, with differential privacy made accessible through easy-to-follow tutorials and thorough documentation. Tumult Analytics is developed on our sophisticated privacy architecture, Tumult Core, which governs access to sensitive information, guaranteeing that every application and program comes with an embedded proof of privacy. The system is engineered by combining small, easily verifiable components, ensuring robust safety through reliable stability tracking and floating-point operations. Additionally, it incorporates a versatile framework rooted in peer-reviewed academic research, making certain that users can have confidence in the security and integrity of their data management practices. This unwavering dedication to transparency and security establishes a new benchmark in the realm of data privacy and encourages other organizations to enhance their own privacy practices.

What is Kodex?

The discipline of privacy engineering is rapidly expanding and intersects with multiple sectors, such as data engineering, information security, software development, and privacy law. Its main aim is to guarantee that personal information is processed and protected in accordance with legal requirements, all while maximizing individual privacy. Security engineering not only forms a crucial aspect of privacy engineering but also stands as an independent field focused on the secure handling and storage of sensitive information. Organizations that manage sensitive or personal data must elevate their focus on both privacy and security engineering practices. This urgency is amplified for those involved in data engineering or data science, where the intricacies of data management significantly increase. Furthermore, the successful integration of these principles is essential for fostering trust and ensuring compliance in our contemporary data-centric environment. As the landscape continues to evolve, staying ahead in privacy practices will become increasingly important for organizations aiming to uphold their reputations and legal obligations.

Media

Media

Integrations Supported

Java
Python
SPARK

Integrations Supported

Java
Python
SPARK

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tumult Analytics

Date Founded

2019

Company Location

United States

Company Website

www.tmlt.dev/

Company Facts

Organization Name

Kodex

Company Website

heykodex.com

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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