Oracle has just developed its Oracle Glory Distributed exadata database on exascale infrastructure with which it pretends that companies can simplify the deployment of applications of AI as well as distributed criticisms. This solution is now available in all regions of Oracle Cloud Infrastructure (OCI) in the world. The new service distributes, saves and synchronizes the data between several locations, allowing applications to continue to work even in the face of regional interruptions. In addition, it helps organizations to meet data residence requirements in their countries.

Thanks to a flexible and without server architecture, the service can automatically adapt to changing needs without requiring complex configurations. It is ideal for companies that work with real -time analysis, large volumes of transactions or variables of generative artificial intelligence. It offers simplified operations, optimized costs and global scalability with total confidence.

GLOBALY Distributed Exadata Database on Exascale Infrastructure has been developed to meet the high requirements demanded by the generative AI:

  • High performance: Flexible scale to process large volumes of data and perform vector searches in massive sets.
  • High availability: It allows to maintain operations underway and carry out automatic recoveries without loss of data, thanks to its tolerant architecture to failures and RAFT replication.
  • Data residence: It offers automatic and simple mechanisms to comply with the data residence regulations and manage the vectors of AI.
  • Cost efficiency: It allows you to face the variations in the workloads, automatically adapting to the use needs.

“Many organizations are complicated to deploy databases distributed due to their high cost and complexity,” explains Wei Hu, senior vice president of high availability technologies of Oracle. “Thanks to our architecture without server, all companies, large or small, can meet their objectives with an affordable and efficient solution. We now offer this database distributed to any organization that needs it.”

This service provides a unified and efficient database experience in all regions, which makes it the ideal option for global companies. In addition, being fully compatible with Oracle Database and SQL, applications do not need important modifications to function in several locations.

Among the main benefits offered by this architecture are:

  • Always active databases: Active/active/active implementation in several data centers that guarantees continuity in services such as payments, electronic commerce or financial markets.
  • Data residence: Automatically distribute data In OCI centers according to local regulations, key in sectors such as health or finance.
  • User proximity: It allows customers to improve response capacity and user satisfaction, since the data is stored in OCI data centers closest to users, which is essential for applications in entertainment sectors, retail sale, medical care and telecommunications.
  • AI and Petabytes scale analysis: It allows customers to execute LEA workloads and long -term analysis with real -time transmission data, climbing horizontally to ingest and process millions of records per second. This is crucial for sectors with intensive use of data, such as manufacturing and public services.
  • OLTP A HYPERESCALA: It allows customers to climb databases to support millions of transactions per second with several data petabytes, flexible capacity and almost instantaneous response times. This level of performance is essential for the agricultural AI, the recognition of images in real time, the analysis of hyperscala and online marketing.

“In the AI ​​era, especially the agricultural AI, customers need a new approach that allows vector processing in globally distributed applications,” says Holger Mueller, vice president and principal analyst at Constellation Research. “This Oracle service combines exadata extreme performance with hyperflexible and paying capabilities for use. Thanks to this, technology managers can display critical applications globally, also fulfilling the local requirements for residence of data.”