Use Cases

• Data Scientists and Analysts Tumult Analytics can be used by data scientists and analysts to perform advanced data transformations and aggregations while ensuring privacy at scale. They can use the familiar Python APIs to simplify the adoption process and perform both public and private joins, filters, and user-defined functions on their data. They can also compute various metrics, including counts, sums, quantiles, and more, all while preserving privacy under multiple privacy models.
• Large-Scale Applications Tumult Analytics is suitable for large-scale applications as it runs on Spark and can seamlessly handle input tables with billions of rows. This makes it ideal for industries such as finance, healthcare, and government, where large amounts of sensitive data need to be processed while ensuring privacy.
• Institutions and Organizations Tumult Analytics is trusted by institutions like the U.S. Census Bureau, making it a suitable solution for other organizations that deal with sensitive data. The platform is auditable, secure, and designed for extensibility, ensuring that sensitive data is accessed securely and providing embedded proofs of privacy.
• Developers Tumult Analytics offers comprehensive documentation and simple tutorials to facilitate installation and usage, making it easy for developers to integrate the platform into their applications. They can also join the Tumult Community's Slack server to stay updated on new releases and feature additions.
• Privacy Enthusiasts Tumult Analytics offers a monthly newsletter that keeps users up-to-date with company news, privacy research, and product updates. This makes it a valuable resource for privacy enthusiasts who want to stay informed and connected.