Data Management as a Service (DMaaS)

What is Data Management as a Service (DMaaS)?

Data Management as a Service (DMaaS) is a cloud-based storage solution designed to consolidate management of multiple data sources in a centralized location. An enterprise solution, DMaaS covers the entire data lifecycle, including collection, storage, protection, movement, and analysis. Providers offer DMaaS via a consumption-based model, meaning customers only pay for the data infrastructure they use. The primary goal of DMaaS, and data management in general, is to enable secure, always-on, always-fast access to data of all kinds, across hybrid and multi-cloud environments, in order to unlock value from data and power business innovation.

How does Data Management as a Service work?

Traditional on-premises data management involves organizing and maintaining data that has been generated and collected by an organization over time. All data is stored and backed up in one of several silos depending on business, governance, or compliance needs and monitored for accessibility and performance. This approach is often manual, making it a time- and labor-intensive process. However, with the rise of mobile and edge computing, structured and unstructured data is being created at an exponential rate, stressing an already complex and error-prone process. The danger of cyberthreats like malware makes data management even more complex — but no less necessary.

To help make sense of today’s vast data volumes (e.g., Big Data, data lakes, data warehouses, etc.), DMaaS transitions a legacy infrastructure into a cloud model by creating a single Software as a Service (SaaS) platform to manage all stored data, regardless of function, and better protect that data everywhere. In the cloud model, silos that were once managed individually are searched, accessed, and managed at once, and routine tasks are automated and proactively resolved with help from artificial intelligence (AI) and machine learning (ML).

Setting up DMaaS is a simple process. Working with a service provider, enterprises can select from preconfigured storage options that meet their needs without buying and managing the infrastructure itself; all hardware, software, management, support, and other resources are delivered by the provider. In some instances, DMaaS can be implemented for private, on-premises IT, but it only remains “a service” if it’s managed by a third party.

What are the benefits of Data Management as a Service?

Like many as-a-service models, DMaaS delivers a proverbial boatload of benefits that extend beyond performance — beginning with cost. Opting for DMaaS eliminates the need for new and custom storage provisioning, including the bare metal hardware that makes it possible, thus lowering the overall initial investment. High upfront costs have typically been a barrier for enterprises considering digital transformation, but on a pay-for-what-you-use model, companies can better manage budgets without sacrificing momentum, time, or resources. Instead, they can allocate the precise storage resources they need on demand, and scale up or down using predictable, transparent pricing.

Beyond lower costs, DMaaS provides improved efficiency and performance. Reducing the complexity of data management lowers the chance of human error and lost data. An automated data management platform also optimizes database queries and increases application performance with speedy data conversion rates. For example, if a company needs to search for specific information that exists across several clouds, a DMaaS platform can find, update, or remove it faster than a manual search. This more efficient process is especially beneficial for sectors bound by strict oversight. DMaaS lets organizations quickly review their data for compliance and identify areas that fall within or outside new requirements. Faster performance also applies to data security, where the automated platform can identify, alert, diagnose, and resolve issues in the database or the infrastructure at large.

Overall, DMaaS helps enterprises unlock the true value of their data and drives innovation forward, all while keeping that data secure and intact.

HPE and Data Management as a Service

HPE provides several options for DMaaS, beginning with HPE Storage. HPE Storage provides a robust foundation for data modernization with a variety of services and hardware optimized for specific workloads. These configurations deliver an end-to-end solution — from core to edge to cloud — that can include SaaS-based apps, hyperconverged infrastructure, networking, all-flash and hybrid storage, and protection for structured and unstructured data.

HPE also offers HPE GreenLake for Storage, a suite of data services that helps accelerate data-driven modernization across edge to cloud with an intuitive cloud experience that eliminates complexity and data silos for general-purpose or mission- and business-critical workloads. HPE GreenLake for Storage customers can choose from several configurations based on modular building blocks and offered in cost-optimized, balanced, or performance options. Enterprises can order, receive, and implement resources quickly, and seamlessly grow capacity ahead of demand.

For hybrid cloud environments, HPE GreenLake for Block Storage delivers self-service agility and a 100% availability guarantee for mission-critical workloads. With the industry’s most advanced AIOps (HPE InfoSight) and a unified management platform, enterprises can meet any SLA and power every workload without compromise as they streamline data management and speed the pace of new apps, services, and initiatives. 

HPE GreenLake for File Storage delivers enterprise performance at scale for your most demanding, data-intensive apps. Organizations can simplify data management and transform faster as they empower data science teams with rich data services that speed time to insight, drive innovation, and gain competitive advantage.