Analyst Report
Cohesity named a Leader again! 2023 Gartner® Magic Quadrant™ for Enterprise Backup and Recovery Software Solutions
Secure and manage your most important enterprise data with Cohesity solutions.
Cohesity brings data security and management together in one platform that is simple, secure, and scalable.
Simplify backup and recovery for hybrid and multicloud data sources. Dramatically reduce TCO and increase your organization’s resilience.
Say goodbye to downtime. Rapidly recover any number of volumes, objects, databases, and VMs to any snapshot point in time.
Safeguard your most important business asset from failures, disasters, and evolving ransomware threats with a unified data security and management platform.
Get higher resilience and flexible, effective protection for your mission-critical VMs.
Meet complex regulatory and compliance requirements with data archiving solutions.
Reduce the threat of ransomware and other threats with an intelligent data security and management solution designed to keep your data secure.
Defend against ransomware attacks with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based early detection, threat detection, user behavior logging, and rapid recovery at scale.
Reduce the risk of recovery by improving your ability to detect ransomware and other threats in your backup data.
Data classification solution to discover and classify sensitive and critical data with highly accurate ML-based scanning. Assess the impact and response needed for a cyberattack—all simplified with SaaS.
Achieve near-zero application downtime and no data loss with unified backup and automated disaster recovery solutions.
Improve availability, performance, and business continuity with data replication.
Harness, manage, and secure your file and object storage data so it can deliver continuous value.
Revolutionize your data management by simplifying, streamlining, and securing your data.
Easily search across all data, workloads, and locations, and cut through data silos to streamline ransomware or outage recovery.
Transform how your organization leverages governance and Responsible AI across your entire data estate.
Protect all your data workloads, all the time.
Optimize cloud backup and recovery. Take advantage of fully-managed software as a service (SaaS) or self-managed software to back up, recover, and do more with your data.
Secure, protect, and manage your AWS workloads, SaaS, and on-premises data on fully-managed services in AWS.
Protect Azure, Azure Stack, Microsoft 365 data, and extend backup, cyber vaulting, archiving, and disaster recovery for hybrid clouds.
Extend your infrastructure to the cloud for long-term retention, tiering, and cloud backup.
Simplify data and application state backup and instant recovery for modern containerized applications based on Kubernetes.
Protect VMs at unlimited scale with powerful security features to fend off ransomware and cyber threats. Available as a service or self-managed software.
Simplify protection of your Microsoft Hyper-V virtual machines with Backup as a Service or self-managed software.
Enhance your cyber resiliency and ransomware protection with powerful Nutanix backup and recovery, restoration, and security capabilities.
Simple, fast, and reliable backup and recovery for Windows, available as backup as a service or self-managed software.
Streamline backups while safeguarding all your critical databases from cyberattacks with a unified data security and management platform.
Protect Microsoft SQL Server at scale with seamless integrations and powerful security features to defend against ransomware and cyber threats.
Simplified and granular backup, recovery, and data management for mission-critical NoSQL and Hadoop data sources.
Comprehensive backup, recovery, and data management for your business-critical M365 apps, available as backup as a service or self-managed software.
Work with Cohesity and our partners to protect against Salesforce data loss and ransomware attacks.
Modernize your data centers by consolidating backups, archives, file shares, object stores, and data used in analytics and dev/test.
2023 Gartner® Magic Quadrant™ for Enterprise Backup and Recovery Software Solutions
Data management refers to the process of organizing, storing, protecting, and maintaining data throughout its lifecycle. It encompasses a wide range of activities, from data acquisition and entry to data archival and disposal. The goal of data management is to ensure that data is accurate, accessible, and secure, and that it can be used effectively for business operations and decision-making.
Data management typically involves several stages, including data planning, data acquisition, data entry, data processing, data analysis, data storage, data retrieval, and data archival. Throughout these stages, organizations must consider a range of factors, including data quality, data security, data compliance, and data accessibility.
Effective data management requires IT and compliance leaders to develop and implement policies and procedures for handling data, including data governance, data security, and data privacy. It also requires businesses to leverage technology and tools to manage data more efficiently, such as data management systems, data analytics platforms, and data backup and recovery solutions.
Data security management is important for many reasons, but perhaps the most significant is the protection of sensitive information. In today’s digital world, businesses collect and store vast amounts of data, including customer information, financial records, and intellectual property. If this data falls into the wrong hands, it can have serious consequences, including financial loss, reputational damage, and legal liability.
Data security management is also important for regulatory compliance. Many industries are subject to strict data privacy regulations, such as HIPAA in the healthcare industry and GDPR in the European Union. Failure to comply with these regulations can result in significant fines and legal penalties.
Effective data security management can also improve business operations. By protecting data from cyber threats, businesses can reduce the risk of downtime and data loss, improving productivity and minimizing disruptions. It can also help businesses build trust with customers and partners by demonstrating a commitment to data privacy and security.
Finally, data security management is important for maintaining a competitive edge. As more businesses move their operations online, data security is becoming a key differentiator for customers and investors. Businesses that can demonstrate a strong commitment to data security are more likely to attract and retain customers and investors, and to maintain a competitive advantage over their peers.
Enterprise data management (EDM) is a comprehensive approach to managing an organization’s data assets throughout their lifecycle. It encompasses a wide range of activities, including data governance, data architecture, data modeling, data quality, data security, and data analytics.
The goal of EDM is to ensure that data is accurate, accessible, and secure, and that it can be used effectively to support business operations and decision-making. To achieve this goal, EDM requires businesses to develop and implement a set of policies, processes, and technologies that enable them to manage their data assets effectively.
One key component of EDM is data governance, which involves defining policies and procedures for data management, establishing data quality standards, and ensuring compliance with data privacy regulations. Data architecture and modeling are also critical, as they provide a framework for organizing and structuring data to enable effective analysis and reporting.
Another important component: data security, which involves protecting data from unauthorized access, theft, and loss. This includes implementing security controls such as access controls, encryption, and intrusion detection and prevention systems.
Lastly, EDM also involves leveraging data analytics to derive insights from data and inform business decisions. This includes using tools such as data visualization, predictive analytics, and machine learning to analyze data and identify patterns and trends.
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