Cohesity has helped us modernize our data management and strengthen our security posture. We view Cohesity as a strategic partner that collaborates with us and is here to help us throughout our digital transformation.”
SVP and CTO, Infrastructure and Operations, Nationwide
By leveraging Cohesity’s software-defined platform for data management, we substantially enhanced our operational capabilities at AutoNation, improved reliability, and lowered our TCO."
Senior Director, Network Operations, San Francisco Giants
Commonly asked questions about cloud data management
Cloud data management refers to the process of storing, organizing, protecting, and retrieving data in a cloud environment. The cloud provides a centralized platform for managing data, where businesses can store and access their data from anywhere with an internet connection.
Cloud data management involves various tasks, including data backup, disaster recovery, data migration, data synchronization, and data security. With cloud data management, businesses can scale their data storage needs up or down based on their changing requirements without worrying about infrastructure costs and maintenance.
Cloud data management solutions can be delivered as a software-as-a-service (SaaS) model or as a managed service offered by cloud service providers. These solutions use various technologies such as artificial intelligence, machine learning, and automation to provide efficient data management and simplify data-related tasks.
Cloud data management solutions also provide data analytics and insights that help businesses make informed decisions. Cloud data management can be a cost-effective and efficient way for businesses to manage their data and ensure that their data is secure, available, and accessible when needed.
Cloud data management is becoming increasingly important for businesses of all sizes and industries for several reasons.
First, it provides a cost-effective solution for data storage and management. Traditional data storage solutions require significant investments in hardware, software, and IT infrastructure, while cloud data management allows businesses to pay only for the storage and services they need, without the upfront capital expenditures.
Second, cloud data management enables businesses to scale their storage and processing needs seamlessly. As businesses grow and generate more data, cloud providers offer flexible and scalable storage solutions that can accommodate their data management requirements.
Third, cloud data management improves data availability and accessibility. Businesses can access their data from anywhere, at any time, with an internet connection. Plus, cloud providers offer advanced data backup and disaster recovery services to ensure data availability even when unexpected events occur.
Fourth, cloud data management canimprove data security. Cloud providers typically implement advanced security measures, such as encryption, access controls, and regular security updates, to protect the data stored on their platforms. Businesses can leverage these security measures to enhance their data protection and compliance.
Finally, cloud data management provides businesses with insights into their data. Cloud providers offer advanced data analytics and machine learning tools that enable businesses to gain insights into their data and make informed decisions—helping businesses improve their operations, identify new opportunities, and enhance customer experiences.
While cloud data management offers many benefits, it also presents challenges for business and IT leaders.
One of the primary challenges is data security. The security of the data stored in the cloud is a shared responsibility between the cloud provider and the customer. Organizations need to ensure that they have proper security measures in place to protect their data, including encryption, access controls, and regular security updates.
Another challenge is data integration. Businesses often have data stored in multiple locations and formats, making it difficult to integrate and manage in the cloud. Ensuring seamless data integration requires careful planning, proper tools, and expertise.
Data migration is an obstacle, too. Moving data to the cloud requires careful planning to avoid data loss or corruption. Businesses need to ensure that their data is properly backed up and can be easily restored in case of migration issues.
Performance and availability are also critical concerns for many businesses. Cloud providers need to ensure that their services are available and performant at all times to meet business demands. Any downtime or performance issues can have a negative impact on business operations.
Lastly, data governance and compliance are essential considerations in cloud data management. Businesses need to ensure that their data management practices comply with regulations and industry standards to avoid legal and reputational risks.
Cloud data management offers businesses several benefits, so it’s an increasingly popular choice for managing and storing data. Enterprises often seek to realize these five benefits:
Cost savings: Cloud data management eliminates the need for businesses to invest in proprietary hardware and IT infrastructure, which can be costly to purchase, maintain, and upgrade. With cloud data management, businesses only pay for the storage and services they need, and can easily scale up or down as their requirements evolve.
Scalability: Cloud data management provides businesses with a scalable solution for storing and managing data. Cloud providers often offer flexible storage options that can be quickly and easily expanded to accommodate business (and data) growth.
Accessibility: Cloud data management allows businesses to access their data from anywhere with an internet connection, making it easy to collaborate with remote teams and access critical data when needed.
Security: Cloud providers offer advanced security capabilities, including encryption, access controls, and regular security enhancements, to protect the data stored on their platforms. This way, businesses can more easily store and manage their data securely and in compliance with common industry regulations.
Data insights: Cloud data management tools often include advanced analytics and machine learning capabilities that help businesses gain valuable insights into their data, identify trends, and make informed decisions.
Cloud data management has become increasingly popular in recent years, and there are many different use cases where businesses can benefit from it. Here are some of the most common use cases:
Data backup and disaster recovery: Cloud data management products can provide businesses with reliable and secure backup and recovery options, reducing the risk of data loss due to hardware failures, human error, or natural disasters.
Data archiving: Businesses can use cloud data management solutions to archive older or less frequently accessed data, freeing up space on local storage and reducing costs.
Data analytics: Cloud data management tools often offer advanced analytics and machine learning capabilities to analyze large amounts of data, identify trends, and make informed decisions.
Collaboration and file sharing: Employees can use cloud data management to share files and collaborate with remote teams in real time, improving productivity and efficiency.