The right managed database service frees your organization from the burden of managing its own cloud database resources, giving you more freedom and time to focus on what’s important to your business. Learn how to evaluate service providers, what capabilities you should demand, and the benefits you can gain from choosing a managed service provider that meets your needs.
The definition of a managed database is a database with storage, data, and compute services that is managed and maintained by a third-party provider instead of by an organization's IT staff.
Managed or completely managed? See how Oracle Autonomous Database eliminates nearly all manual labor.
With a self-managed database, your organization has to maintain the operating system and the database, which requires a level of internal expertise and skill sets for everything from end-to-end security to scaling. Maintaining a self-managed system may allow for control, but that control can present drawbacks such as increased costs over time, along with the need to devote time and staff to such tasks as managing schema design, patches, security, and access rather than to innovation and product design.
In contrast, a hosted database transfers the administration, management, and maintenance to a service provider. The provider is responsible for the setup, management, security, and scaling. In turn, your organization’s IT staff and developers can return to adding more business value via new application development and innovations. The heavy lifting of maintenance and support become the responsibility of the managed database service provider.
A managed database provides several benefits.
A fully managed database is completely administered by the provider, but not all providers offer fully managed services. Customers who partner with true fully managed database service providers do not have to monitor, manage, or maintain their own database the way they do in a self-managed data center. All troubleshooting and security are handled by the service provider, along with the patching and tuning that requires manual intervention in self-managed environments.
Choosing a cloud service provider for a managed database comes down to budget, data types, and goals. More importantly, consider the reputation of the managed database provider in the following areas:
While evaluating managed database service providers, there’s one simple question to ask before making a decision: What is actually being managed? See what compromises your organization must make and whether any work is required. Be sure to ask each provider about its level of automation and how that may affect your organization’s IT management and operations. Consider the following:
Not all managed database service providers offer the same capabilities, so check carefully to confirm what the provider will manage and what your organization will need to do in-house.
Development today contributes in valuable ways to business growth and, at times, is about distributed app development. This could mean separate teams working at their own pace, using their own tools, languages, data models, and lots of potentially different databases to handle different services. Developers prefer to use their own tools and data so they can do what they want, use what they want, and get things done faster.
For the organization as a whole, this presents potential issues. Data that sits in separate silos creates inconsistencies across the board, making it harder to gain actionable insights. While developers are operating on their own projects and timelines, they may not have access to data that helps solidify their work. It may be because of data types that can’t be handled by their database or inconsistency in access.
A managed database that offers converged system capabilities—a multimodel, multitenant, multiworkload database that supports the data model and access method each development team wants—helps both developers and their organizations. It also helps to reduce operational costs. For example, developers using JSON can get access to other databases outside of their own based on data type. Users are not restricted to just one way of accessing their data; developers and other users can query JSON data by using SQL or can use a graph query to explore relationships and discover connections in data. If developers need to change data models, they can keep the same database in a converged model. Insights that are easier to gain lead to faster decision making on an organizationwide basis.
Oracle Autonomous Database provides the benefits described above—and goes further to help enterprises improve business operations and reduce costs. The self-driving service provisions highly available databases, configures and tunes for specific workloads, protects sensitive data, and automatically scales compute resources when needed. Oracle Autonomous Database reduces operational costs by as much as 90 percent with a multimodel converged database and automation based on machine learning for full lifecycle management.
See how Oracle Autonomous Database fully manages and reduces operational costs.