As more and more organizations turn to the cloud to modernize their infrastructure and workloads, data as a service, or DaaS, is becoming an increasingly popular solution for data integration, management, storage, and analytics. By embracing DaaS, companies can improve the agility of data workloads, reduce time-to-insight, and increase the reliability and integrity of their data.
Learn what DaaS means, why and how companies are leveraging it, and how to get started with a cloud-first, DaaS-based strategy for data integration, storage, and management.
Data as a service (DaaS) is a data management strategy that uses the cloud to deliver data storage, integration, processing, and/or analytics services via a network connection.
DaaS is similar to software as a service, or SaaS, a cloud computing strategy that involves delivering applications to end-users over the network, rather than having them run applications locally on their devices. Just as SaaS removes the need to install and manage software locally, DaaS outsources most data storage, integration, and processing operations to the cloud.
While the SaaS model has been popular for more than a decade, DaaS is a concept that is only now beginning to see widespread adoption. That is due in part to the fact that generic cloud computing services were not initially designed for handling massive data workloads; instead, they catered to application hosting and basic data storage (as opposed to data integration, analytics, and processing). Processing large data sets via the network was also difficult in the earlier days of cloud computing, when bandwidth was often limited.
Today, however, the advent of low-cost cloud storage and bandwidth, combined with cloud-based platforms designed specifically for fast, large-scale data management and processing, has made DaaS just as practical and beneficial as SaaS.
Compared to on-premises data storage and management, DaaS provides several key advantages with regard to speed, reliability, and performance. They include:
While DaaS offers many benefits, it also creates special challenges.
DaaS solutions have been slower to catch on than SaaS and other traditional cloud-based services. However, as DaaS matures and the cloud becomes increasingly central to modern business operations, a number of organizations are now leveraging DaaS successfully.
PointsBet uses a cloud-based data solution to manage its unique compliance and scaling requirements. The company can easily adjust its operations to meet the flucuating demand of online gaming and ensure its operating within local and international government regulations.
DMD Marketing Corp. has adopted a cloud-first approach to data management to give its users faster access to their data and, by extension, reduce data processing times. The company is also able to quickly refresh data thanks to cloud-based data management, giving them an edge over competitors.
Although getting started with DaaS may seem intimidating, given the fact that DaaS is still a relatively new type of solution, the process is actually simple.
It is especially simple because DaaS eliminates much of the setup and preparation work associated with building an on-premises data processing solution. And due to the simplicity of deploying a DaaS solution, and the availability of technical support services from DaaS providers, the process does not require your company to have specialized staff on hand.
The core steps for getting started with DaaS include:
DaaS is part of a broader switch by companies to cloud-first strategies. Given the pervasiveness of a focus on the cloud across a variety of industries, and among companies both large and small, there is good reason to believe that DaaS adoption will continue to rise alongside other cloud services.
In 2018, Garnter estimated that DaaS will continue to grow for five to 10 more years.
It’s worth noting, too, that DaaS is poised to help drive interest in cloud-first architectures even among companies that have not previously leveraged the cloud in a major way. In the earlier years of cloud computing’s history, it was generally only companies that could benefit from SaaS delivery models that adopted the cloud on a large scale. Now, however, the cloud has become a powerful solution for data workloads as well.
Thus, whether your company already has extensive experience with the cloud, or has not previously thought of itself as operating according to a cloud-first model, DaaS is one example of a way for companies to leverage the speed and reliability that the cloud offers.