Oracle’s Global Autonomous Database, fueled by AI and ML, slashes operational complexity and expenses for customers
Oracle unveils Oracle Globally Distributed Autonomous Database, leveraging sharding tech for data control and distribution. It empowers organizations to automatically spread data worldwide, ensuring scalability, availability, and sovereignty compliance. This autonomous solution slashes costs while enhancing operational efficiency.
As a full-featured, converged database, Globally Distributed Autonomous Database simplifies the development and use of distributed databases for mission-critical applications by supporting virtually any data type, workload, and programming style at scale. Existing SQL applications can use distributed databases without having to be rewritten. In order to meet the needs of each application, Oracle Globally Distributed Autonomous Database supports more data distribution, replication, and deployment methods than other distributed databases.
“Organizations with global operations have specific application demands around data sovereignty, scale, and availability that can vary between continents and countries”
Juan Loaiza, executive vice president, Mission-Critical Database Technologies, Oracle
“Organizations with global operations have specific application demands around data sovereignty, scale, and availability that can vary between continents and countries. These demands can be addressed by a mission-critical distributed database architecture capable of supporting global distribution,” said, Juan Loaiza, executive vice president, Mission-Critical Database Technologies, Oracle.”
Distributed databases can be difficult to deploy and manage due to the large number of servers deployed across multiple locations. Globally Distributed Autonomous Database eliminates this complexity by using and extending Autonomous Database’s AI and ML-driven automation with automatic data distribution and shard management. Administrators can manage the distributed database as a single logical database, and use automated provisioning, tuning, scaling, patching, and security capabilities to avoid time-consuming manual tasks and potential errors. In addition, automatic database scaling per individual shard enables customers to ramp up and draw down resources to meet demand and minimize consumption and cost.
Additional Oracle Database Enhancements
With Oracle’s integration of generative AI across its technology stack, developers have access to new tools, including Autonomous Database Select AI, to integrate AI and ML into their applications. Select AI can translate natural language questions in a conversational thread into SQL queries using large language models (LLMs). With Globally Distributed Autonomous Database, the SQL query is automatically routed to the appropriate country or shard to generate the answers. In addition, Oracle Database 23c with Raft quorum-based consensus replication will provide automatic sub-3-second application failover with zero data loss. This and AI Vector Search with retrieval augmented generation (RAG) integration will be available later this year.
