Tumult Analytics

About Tumult Analytics

Tumult Analytics empowers organizations to leverage differential privacy for secure data analysis. Built on the advanced Tumult Core, it facilitates access to sensitive data while ensuring privacy proofing in real-time analytics. Targeted at data scientists and analysts, Tumult Analytics maximizes efficiency and security in handling vast datasets.

Tumult Analytics offers flexible pricing plans tailored to different user needs. Each tier provides access to essential features, with premium plans unlocking advanced functionalities and support. Regular promotions can enhance affordability, ensuring that even small organizations can access the platform without compromising quality or security.

The user interface of Tumult Analytics is designed for optimal user experience, featuring an intuitive layout that streamlines workflow. Users easily navigate through tools and documentation, enhancing productivity. Unique features like public and private joins add to the seamless experience of data manipulation and analysis.

How Tumult Analytics works

Users begin by signing up for Tumult Analytics, accessing extensive resources through easy onboarding tutorials. They can then integrate their datasets using familiar Python APIs. With a few clicks, users can perform complex analytics, engage in private aggregations, and employ various privacy models, all while relying on strong security measures.

Key Features for Tumult Analytics

Differential Privacy Deployment

Tumult Analytics revolutionizes data handling through its differential privacy deployment capabilities. With advanced privacy models and user-defined functions, it ensures sensitivity while enabling meaningful insights, allowing businesses to analyze extensive datasets confidently and responsibly.

Scalability on Spark

Tumult Analytics is built to handle unprecedented data volumes, running seamlessly on Spark. This enables organizations to process billions of rows efficiently, ensuring that as your data scales, performance and privacy remain uncompromised, all through an easy-to-use interface.

User-Friendly APIs

Tumult Analytics provides familiar Python APIs similar to Pandas and PySpark, making data transformation effortless for users. This approach bridges the gap between complex privacy implementations and user accessibility, ensuring data scientists can implement differential privacy without steep learning curves.