LeapYear

LeapYear

LeapYear Technologies
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About

Differential privacy is a mathematically proven standard of data privacy that ensures all data can be used for analytics and machine learning without the risk of compromising information about individual records. LeapYear’s differentially private system protects some of the world’s most sensitive datasets, including social media data, medical information, and financial transactions. The system ensures analysts, data scientists, and researchers can derive value from all of the data, including data of highly sensitive fields, while protecting all facts about individuals, entities, and transactions. Traditional approaches, such as aggregation, anonymization, or masking degrade data value and can be easily exploited to reconstruct sensitive information. LeapYear’s implementation of differential privacy provides mathematically proven assurances that information about individual records cannot be reconstructed, while also enabling all of the data to be leveraged for reporting

About

Built and maintained by a team of differential privacy experts, and running in production at institutions like the U.S. Census Bureau. Runs on Spark and effortlessly supports input tables containing billions of rows. Supports a large and ever-growing list of aggregation functions, data transformation operators, and privacy definitions. Perform public and private joins, filters, or user-defined functions on your data. Compute counts, sums, quantiles, and more under multiple privacy models. Differential privacy is made easy, thanks to our simple tutorials and extensive documentation. Tumult Analytics is built on our sophisticated privacy foundation, Tumult Core, which mediates access to sensitive data and means that every program and application comes with an embedded proof of privacy. Built by composing small, easy-to-review components. Provably safe stability tracking and floating-point primitives. Uses a generic framework based on peer-reviewed research.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations looking for a complete Data Privacy Management platform

Audience

Organizations wanting a solution for computing aggregate queries on tabular data using differential privacy

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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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:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

LeapYear Technologies
Founded: 2014
United States
leapyear.io

Company Information

Tumult Analytics
Founded: 2019
United States
www.tmlt.dev/

Alternatives

PHEMI Health DataLab

PHEMI Health DataLab

PHEMI Systems

Alternatives

LeapYear

LeapYear

LeapYear Technologies
Mage Platform

Mage Platform

Mage Data
Mage Platform

Mage Platform

Mage Data
Accountable

Accountable

Accountable HQ

Categories

Categories

Integrations

Java
Python
SPARK

Integrations

Java
Python
SPARK
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