The most advanced platform to deploy Differential Privacy

Why use Tumult Analytics

Robust and production-ready

Built and maintained by a team of differential privacy experts, and running in production at institutions like the U.S. Census Bureau.

Scalable

Runs on Spark and effortlessly supports input tables containing billions of rows.

Easy to use

Familiar Python APIs similar to Pandas and PySpark

Powerful

Supports a large and ever-growing list of aggregation functions, data transformation operators, and privacy definitions.

See it in action

Watch advanced demo

Watch Basic Demo

Build sophisticated workflows

POWERFUL TRANSFORMATIONS

Perform public and private joins, filters, or user-defined functions on your data

PRIVATE
AGGREGATIONS

Compute counts, sums, quantiles, and more under multiple privacy models

Get started in minutes

Differential privacy made easy, thanks to our simple tutorials and extensive documentation.

Installation

Documentation

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Join Our Slack Community

Under the hood

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.

AUDITABLE

Built by composing small, easy-to-review components

SECURE

Provably safe stability tracking and floating-point primitives

EXTENSIBLE

Uses a generic framework based on peer-reviewed research

Join the Tumult Community

We announce new releases or feature additions on our Slack server. Feel free to join: we always welcome feedback, feature requests, or questions about our platform and its documentation.