Database Backup & Recovery Solutions
Simplify and streamline data management across relational database management systems.
Peace of Mind for Database Owners
Backing up and managing a variety of enterprise databases, with large, expanding data volumes, is a top concern for most enterprises. Reduce costs and risks with a hyperconverged solution that simplifies data management for leading databases, including Oracle, Microsoft, and SAP HANA.
Oracle Databases
Get application-consistent backup and recovery for both Oracle single instance or Real Application Clusters through our native integration with Oracle Recovery Manager. Keep pace with business requirements and compliance mandates and automate backup and recovery for faster recovery point and recovery time objectives.
Learn More
Microsoft SQL Server
Protect against outages of mission-critical workloads with our native integration with Microsoft SQL Server. Don’t wait hours or days to complete restorations. Instantly recover SQL Server and user databases, and ease backup and cloning of SQL Servers or user databases for dev/test environments.
Learn More
NoSQL and Hadoop
Enterprise-grade backup and recovery for leading Hadoop and NoSQL workloads. An API-driven architecture and cloud-native design allow you to effortlessly manage the most stringent and unique infrastructure requirements.
Learn More
Microsoft Exchange
Get an efficient and fast backup and recovery solution for Microsoft Exchange-based email by using Cohesity DataPlatform with Kroll Ontrack PowerControls for Exchange. Give granular-level recovery and the scale of a fully integrated data protection solution.
Learn More
SAP HANA
Protect SAP HANA and S/4HANA data with Cohesity DataPlatform, in the cloud or on-premises. Accelerate backups and restorations and improve security and resilience. And, you can keep using your favorite SAP tools, such as SAP HANA studio, DBA cockpit or hdpsql.
Learn More
Organizations have long been hamstrung in their use of data by incompatible formats, limitations of traditional databases, and the inability to flexibly combine data from multiple sources.
Jim Scott, InfoWorld
Looking to streamline data management across mission-critical workloads?
