Overview

Built for modern workloads

An agentless approach delivers performance and scale in a single solution.

Meet backup SLAs

Reduce backup windows with incremental-forever and app-consistent backups.

Accelerate recovery

Instantly search for and recover objects at a granular level to any snapshot point in time.

Optimize efficiency

Minimize your data footprint with data-aware deduplication, compression, and erasure coding.

Fast and comprehensive

Simple and automated protection for a wide range of NoSQL and Hadoop application data sources helps you gain speed, efficiency, and greater ROI.

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Testimonials
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We mostly back up our virtual machines (VMs) and MongoDB—our database program. We also back up documents, files, databases, and our Microsoft 365 cloud environment.”

Sven

Sven Asmus

Infrastructure Manager, Hahnair

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We use the Cohesity data management solution for both our traditional and modern data sources to make backups of AHV and Hadoop workloads as well as disaster recovery, and file sharing much more expedient. We’ll avoid spending thousands, if not millions of dollars, as data grows.”

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Charles Boicey

Co-Founder and Chief Innovation Officer, Clearsense

Commonly asked NoSQL and Hadoop backup and recovery questions

NoSQL, which stands for “not only SQL”, is a type of distributed database designed to handle and manage large volumes of unstructured or semi-structured data. It’s a non-relational database system that provides a flexible and scalable approach to storing and retrieving data, making it well-suited for big data and real-time web applications. NoSQL databases are known for their ability to handle large amounts of data and provide high availability and scalability.

The specific backup procedures may vary depending on the Hadoop distribution and the tools used, so we recommend consulting the documentation and best practices provided by the Hadoop distribution you’re using. Still, these tools provide basic backup capabilities and may not meet an organization’s recovery point (RPO) and recovery time (RTO) objectives. Protecting distributed databases is more important than ever and organizations require a new approach to understand the nuances of these modern workloads. Cohesity provides a data protection and management solution that solves challenges in navigating data magnitude and dynamism while facilitating consistency and security across your NoSQL and Hadoop workloads.

Building a Hadoop backup and recovery strategy involves careful planning and consideration of the unique characteristics of Hadoop’s distributed architecture. Rapid adoption of Hadoop within the enterprise has resulted in the deployment of a number of haphazard, quick-fix Hadoop backup and recovery mechanisms that may seem to work on the surface, but they often put your data and organization at significant risk, thus falling short. A proper, well thought out Hadoop backup and recovery strategy is needed to ensure that data can be recovered reliably and quickly, and that backup operations don’t take up too much engineering or DevOps resources.

Resources
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Analyst Report
Cohesity recognized as a Leader in the 2024 Gartner® Magic Quadrant for Enterprise Backup and Recovery Software Solutions
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Analyst Report
Cohesity named a leader in the Forrester Wave™: Data Resilience Solution Suites, Q4 2022
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Solution Brief
Hadoop and NoSQL data management made simple
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Blog
Simplifying protection of modern workloads
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White Paper
Time for prime time: Effective data management for NoSQL and Hadoop environments
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