The evolution of cloud-based technology is continuing to reshape data management in the upstream industry. As data volumes increase, users are demanding flexible, scalable processes that enable them to leverage a wider variety of sources, uncover new insights and confidently make decisions that will drive their businesses forward.
Legacy systems based on locally deployed software are often unable to provide the agility and scalability required in this new world. As a result, many companies have now migrated at least some of their data management operations to the cloud, and many of the largest and most advanced organizations are on the second or third phase of this journey of cloud adoption. This trend is set to accelerate as data volumes increase further.
Of course, there are many ways in which the cloud can be used to support data management. Over time, significant differences have emerged between the cloud-based deployment models offered by various providers in this space. These differences have important implications for flexibility, scalability, functionality, security and user experience.
In this white paper, we provide an overview of the evolution of cloud-based technology in the data management space; we assess the benefits of the most common deployment models; and we set out our own vision based on a Software-as-a-Service (SaaS) model, including quick access to new features, greater user empowerment and a short time to market.
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