Industry analyst and former IT executive Matt Kimball digs into the technical and operational details of Oracle's new Globally Distributed Autonomous Database.
Oracle recently announced significant updates to its Autonomous Database, enabling specific enterprise capabilities for data sovereignty, redundancy, scalability and AI-enabled usability that are novel in this market. This service will be of particular interest for organizations with a multinational footprint and multinational data-sovereignty concerns.
Why do companies invest so much time and effort in adhering to local data privacy and sovereignty rules? Because not adhering is bad business. Pretty simple, right? Failing to adequately protect customer and company data is just wrong. It impacts the business both directly and indirectly, including through fines, bad press, lower stock prices, revenue loss and so on.
When combined with application-transparent access to the sharded database, these capabilities enable applications to run with high relational database performance and without changes. In short, Oracle’s Globally Distributed Autonomous Database helps customers reduce complexity while addressing their data residency, performance and availability goals.
Additionally, Globally Distributed Autonomous Database offers the widest variety of replication methods—synchronous, asynchronous, adaptive synchronous or a combination. Finally, Oracle seems to have analyzed every option when considering how and where shards are deployed—regular servers, fault-tolerant scalable clusters, in the cloud or multiple clouds. All of these options give organizations maximum flexibility for deployment and use of Globally Distributed Autonomous Database.
As an ex-IT leader who had to manage a team of database specialists for dozens of state agencies, I fully understand the organizational and operational challenges that appear on the radar day after day. Adding the challenges associated with sovereignty, redundancy and performance across a number of countries? Forget it.
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