Tumult Analytics stands at the forefront of advanced privacy solutions, offering a powerful and production-ready platform for deploying differential privacy. Crafted by experts in the field, it’s the solution trusted by institutions like the U.S. Census Bureau.

Key Features:

• Robust and Production-Ready: Tumult Analytics is not just advanced; it’s built for robust production use, ensuring privacy at scale.
• Scalable: The platform runs on Spark and can seamlessly handle input tables with billions of rows, making it suitable for large-scale applications.
• Easy to Use: While powerful, Tumult Analytics provides familiar Python APIs akin to Pandas and PySpark, simplifying the adoption process.
• Powerful: It supports a wide range of aggregation functions, data transformation operators, and privacy definitions, giving you the flexibility needed to protect sensitive data.

Functionalities:

• Powerful Transformations: With Tumult Analytics, you can perform both public and private joins, filters, and user-defined functions on your data.
• Private Aggregations: Compute various metrics, including counts, sums, quantiles, and more, all while preserving privacy under multiple privacy models.
• Tumult Core serves as the sophisticated privacy foundation on which Tumult Analytics is built. It ensures that sensitive data is accessed securely and provides embedded proofs of privacy. It’s auditable, secure, and designed for extensibility.
• The Tumult Community actively welcomes feedback, feature requests, and questions. Join their Slack server to stay updated on new releases and feature additions. The platform also offers simple tutorials and comprehensive documentation to facilitate installation and usage.
• Stay Informed: Tumult Analytics offers a monthly newsletter, keeping users up-to-date with company news, privacy research, and product updates. It’s a resource designed to keep you informed and connected.