Welcome to Sarus documentation!

Last update date: January, 2024

Sarus provides a faster and safer data access for analytics and AI. With Sarus, data analysts and scientists leverage data they cannot see and produce impactful results instantly, with their usual tools, in full regulatory compliance and maximum security.

This documentation presents main Sarus concepts and provides guides to install Sarus in your environment, prepare datasets and run Analytics and ML tasks on protected data through the Sarus API, python SDK or BI connector.

Quickly getting started

If you already have Sarus installed and are eager to get started, we recommend to jump straight into our Quickstart Tutorial and follow the steps described there.

In a few words, you will:

Table of contents

• INTRODUCTION TO SARUS

  • What is Sarus

  • Key Concepts

  • Differential Privacy

  • Privacy-safe Evaluation

• INTEGRATIONS

  • MongoDB

  • AWS Redshift

  • Google BigQuery

  • Azure Synapse

• USER GUIDE

  • Installation on a single server

  • Installation on Kubernetes

  • Quickstart tutorial

  • Application administration

  • Data administration

  • Data Science & AI

    • List of supported transformations

  • Examples

  • Introduction to main Sarus concepts

  • API reference

  • Support

For further information about Sarus, check out our website!