Globally Distributed Autonomous AI Database

Oracle Globally Distributed Autonomous AI Database is a fully automated distributed cloud database that helps customers meet data residency requirements, provide survivability for business-critical applications, and deliver cloud-scale database performance.

Juan Loaiza announces Globally Distributed Autonomous AI Database (19:37)
Juan Loaiza announces Globally Distributed Autonomous AI Database (19:37)

Support a global user base with a fully automated distributed database

1

Address data residency requirements by controlling where data resides.

2

Provide high availability by distributing shards across OCI availability domains and regions.

3

Enable cloud scale and performance by automatically scaling the number of shards and their individual performance.

4

Develop distributed database applications and efficiently manage them as a single logical database with no changes required.

5

Automatically distribute and redistribute data based on performance needs and location.

6

Use Oracle Autonomous AI Database Select AI to query distributed data using natural language without knowing where it is or how it’s structured.

How it works

Globally Distributed Autonomous AI Database is a single logical Oracle AI Database that is distributed as a set of Oracle AI Database shards. Each shard is an independent Oracle AI Database instance that hosts a subset of the logical database's data. Multiple shards can run in one OCI availability domain to maximize performance, in multiple OCI availability domains or regions to provide the highest possible availability, and in OCI regions across different geographies to help meet data residency requirements. A common shard catalog supports automated shard deployment, centralized management of a sharded database, and multi-shard queries using the automated query coordinator. Shard directors enable high performance connection routing over networks to access data in a distributed database. A client application request is routed directly to a shard using the Oracle drivers and provides a sharding key with the request.

Globally Distributed Autonomous AI Database in the media

Globally Distributed Autonomous AI Database use cases

1

Address data residency requirements for distributed data warehousing and data lakes

Combine user control of data distribution policies and built-in automation to keep the storage and processing of growing data sets in required geographical locations while providing centralized administration.

2

Cloud-scale transaction processing

Improve customer experiences by enabling the database performance needed by cloud-scale applications and locating data close to distributed users—all with automated data distribution and management.

3

Maximum availability for mission-critical applications

Run applications that require extremely high availability using Globally Distributed Autonomous AI Database’s shared-nothing architecture and fault-tolerant local Oracle Exadata Cloud Infrastructure.

4

Distributed data pipelines and analytics

Rapidly load, process, and analyze massive data sets in a distributed cloud while addressing data residency requirements. Get unified insights with massively parallel processing across many compute instances.

5

Query global distributed data using natural language

Easily gain insights from your data without knowing where it’s located or how it’s structured. Simply ask questions in natural language and let Oracle Autonomous AI Database Select AI build your queries and present results.

6

Build cloud native, scalable mission-critical applications

Build scalable, secure, distributed applications using multiple data types and models across a single logical database without the need for additional code or skills.

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