Rubrik, Inc.

Suman Swaroop

Li Ding

Arijit Banerjee

Benjamin Travis Meadowcroft

Abhay Mitra

Hardik Vohra

Kushaagra Goyal

Shaomin Chen

Kunal Sean Munshani

Samir Rishi Chaudhry

Arnav Gautum Mishra

Mudit Malpani

Sai Kiran Katuri

Vaibhav Bhagee

Amelia Vu

Ayush Mishra

Anshul Mohan Gupta

Abhishek Modi

Methods, systems, and devices for data management are described. Software-as-a-service (SaaS) applications may host customers' information in a distributed environment that is not directly accessible to the customers. SaaS applications may store data in the form of relational tables. Snapshots for SaaS applications may maintain hierarchical relationships between computing objects and tables to enable cascading recovery. A data management system (DMS) may identify the computing object hierarchy for an organization's data as hosted by a SaaS application and also may identify the APIs associated with accessing each computing object, which may each include multiple tables. Tables that are accessed via a same API may be organized as logical entities. The DMS may store the hierarchical relationship between the tables, and as the tables are stored as logical entities, the DMS may organize the tables in the backup database based on which APIs are used to access the relevant tables.

Relational software-as-a-service data protection

Methods, systems, and devices for data management are described. Software-as-a-service (SaaS) applications may host customers information in a distributed environment that is not directly accessible to the customers. In some SaaS applications each organization may have a settings computing object, a features computing object, and a set of projects computing objects. The hierarchical relationships in each of the projects computing objects may depend on the tables in the settings and features computing objects. A data management system (DMS) may include discovery, backup, refresh, and restore frameworks that maintain hierarchical relationships between computing objects and tables including the dependency of projects computing objects on settings or features computing objects.

Backup and recovery for software-as-a-service data

Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Systems and methods for continuous data protection

Systems and methods for continuous data protection comprising storage of completed I/O requests intercepted from an I/O stream using touch points

Systems and method for continuous data protection and recovery by implementing a set of algorithms based on the length of I/O data streams

Systems and methods for continuous data protection with near zero recovery point

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Palo Alto, CA, United States of America

Suman Swaroop