2019 IOUG Databases in the Cloud Survey
Discover the latest trends in database deployment
Database systems have been part of corporate data centers for decades, and substantial infrastructures have been built around them to ensure their security, resiliency and ability to support mission-critical applications. Now, much of the technology required to keep delivering business value is available in the cloud, which is fast becoming the de facto method of data deployment. Already, one-fourth of corporate data is being maintained by cloud providers, and data managers intend to move as much of their data environments into the cloud as soon as possible.
These are some of the findings of a new survey of 202 data managers and professionals, conducted among members of the Independent Oracle Users Group (IOUG). The survey, fielded by Unisphere Research, a division of Information Today, Inc., in partnership with Amazon Web Services, covered a broad sample of company types and sizes.
Respondents were asked about their most recent database project—whether it was an upgrade, migration or addition of new functionality—and if it was in the cloud or on-premises. They were then asked about their most recent cloud-based database project. In some cases, these were one and the same.
You can learn more by downloading the "2019 IOUG Databases in the Cloud Survey," courtesy of Amazon Web Services.
On average, one in every four bytes of enterprise data is now managed by public cloud providers. This will increase, but hybrid cloud is the model for most.
Scalability is the most oft-cited benefit seen in the cloud. At the same time, structural concerns dominate the tops of data managers’ lists for moving to cloud.
Close to half of new database projects are going to public cloud providers. While most database projects are still on premises, these will soon be in the minority.
Cloud now involves upgrading current systems as much is it about new systems. Most cloud-based database deployments are coming out of on-premises environments.
Cloud-based data functions are no longer at the periphery of enterprises — many are now supporting core enterprise applications.
Integration, skills and security were the three most pressing issues encountered during cloud migration processes.
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