Data Management as a Service, or DMaaS for short, is portfolio of as a service offerings used by organizations seeking easy access to multiple data management capabilities, such as backup and recovery, disaster recovery (DR), archiving, file and object services, dev/test provisioning, data governance, security, and analytics—all provided as a comprehensive, integrated set of offerings through a software as a service (SaaS) model.
DMaaS simplifies the way organizations manage and protect all enterprise data, no matter where it resides—in the cloud or on-premises—or how it is formatted, structured or unstructured.
DMaaS relieves businesses of the burden of buying or managing software and the infrastructure needed to support enterprise data management capabilities.
Businesses pay for the service using a pay-per-use model that doesn’t require any capital expenses (CapEx) for equipment or software, or related operational expenses (OpEx) for managing and maintaining those investments.
How Can Data Management as a Service Help Organizations?
Both business and IT teams benefit from Data Management as a Service because the portfolio leverages capacity-based pricing, provides unified data management for all types of workloads through a single, global UI and improves productivity by freeing up IT staff to gain better insights and develop new apps.
These are some of the key advantages to organizations:
Back up and protect all data – A DMaaS platform secures all your data assets no matter where they reside, enabling fast and efficient business continuity and disaster recovery.
Lower costs and TCO – Both the OpEx and CapEx related to traditional data management are eliminated, as is the waste of having redundant data stored in different systems.
Reduce data risk – Because you have a centralized view of all your data from a single cloud-based platform, you can improve both data discovery and compliance by quickly and efficiently identifying different types of data, where it is stored, and who’s responsible for it.
Unlock agility while accelerating cloud strategies – Cloud-based data management is the simplest, best path to protect, connect, and unlock value in data spanning hybrid IT environments.
Improve data quality to foster innovation – Less data fragmented of disparate data sources in silos means faster access to the high-quality data organizations need to gain insights that speed business decision making.
Why Is Data Management as a Service Important?
Continuously growing volumes of data make it difficult for organizations to store, manage, and protect their most important asset. As businesses adopt cloud models—shifting internal applications to infrastructure as a service (IaaS), creating cloud-native apps using platform as a service (PaaS), and subscribing to specific business functionality with software as a service (SaaS) capabilities, a fundamental transformation of their data architecture is occurring.
Data that used to be kept centrally in on-prem data centers is now fragmented through any combination of local data capacity (including data centers, branch offices, campuses, desktops, laptops, and even mobile devices) and cloud data capacity (including multiple IaaS, cloud-native apps, SaaS, and PaaS services). And that mass data fragmentation leads to less visibility into all of your data.
That’s why organizations need a simple strategy for managing all of their data. The traditional approach of replicating data across redundant storage units in different locations lacked visibility and a centralized way to secure or manage it. Costly and inefficient, this approach is clearly not sustainable in today’s fast-paced business environment.
What Does a Data Management Team Do?
Data management teams work with on-prem and DMaaS solutions to ensure their organizations gain the maximum insights and value from all of the data they collect, protect, and keep.
Data retention and protection in various forms including backup and recovery, file and object services, disaster recovery, data archival, long-term retention are among the primary responsibilities of a data management team.
Cohesity and Data Management as a Service
By providing enterprise-class visibility and control over all forms of data—both structured and unstructured—through a cloud managed service, Cohesity’s DMaaS portfolio makes comprehensive, enterprise-class data management accessible to businesses of all kinds and sizes.
Developed and managed by experts in the data management field, the Cohesity DMaaS portfolio helps you navigate the continuously escalating challenges of managing data in a fragmented global environment.
Your IT team can focus on policy rather than infrastructure, provide consumption-based pricing, accelerate the move to the cloud, make it easy to derive value from data, remove data infrastructure silos, and support multiple use cases—including data backup and archiving, disaster recovery, file and object services, copy data management, and analytics.
A comprehensive set of data management services – Within the DMaaS portfolio, you can choose data management offerings and receive them all from one vendor. Rather than selecting one provider for backup, another for DR, and yet others for file and object services, copy data management, data security, or governance, you get a single platform.
Advanced security and ransomware detection – Helios currently analyzes more than 400,000 events daily and uses machine learning to detect anomalies that could signal a ransomware attack in progress.
Data management made simple – Enterprises can easily and seamlessly manage their existing Cohesity on-prem and cloud environments, as well as the policies for their data in the new Cohesity-managed environment.
A shift to predictability and simplicity – Consumption-based pricing provides cost predictability and eliminates over-provisioning. DMaaS also removes equipment procurement headaches and reduces operating expenses and administrative overhead.