Discover Sarus Capabilities

Sarus connects natively to your databases, warehouses and cloud storages. Any source can be leveraged instantly without moving or preparing the data. Sources can be small or big data, and of any type (relational, numeric, dates, categories, text, images...).

In Sarus, data administrators define privacy policies to govern the type of query outputs that the analysts can retrieve: access to synthetic data samples, access to aggregates, access to differentially private outputs, and possible exceptions.

Sarus logs all queries executed on the data and allows for fine-grained auditing so that you can easily meet your compliance and audit requirements.

Sarus provides a SQL API and a BI connector (based on HiveServer2). Analysts query data sources from any of the main BI tools (PowerBI, Tableau, Metabase...) without any additional friction. The Sarus app analyzes each query on the fly and returns results compliant with the user privacy policy. See Technology to know more.

The Sarus python SDK enables data scientists to manipulate remote data with the exact same API as the standard libraries - pandas, numpy, scikit-learn... The SDK sends the data processing code to the application for execution on the remote data. If required, the code is rewritten by the application to comply with the privacy policy (e.g.: enforcing Differential Privacy). See Technology to know more.

Sarus provides secure and high-fidelity synthetic data for every dataset. They reproduce the statistical properties of the real dataset. This way, not seeing the source data is not an obstacle for practitioners when they perform the exploratory analysis, test, debug, and build their processing /modeling pipeline.

The Sarus python SDK allows to push a query output to an external endpoint without the practitioner seeing it. This way, an analyst can build a segmented marketing audience or a list of suspicious transactions and push that list of ids to the relevant endpoint without seeing the personal information.