Exadata

Features

– Innovate with OCI Oracle Database services running in Microsoft Azure data centers with native, low-latency access to Oracle Autonomous Database and Oracle Exadata Database Service.

– Bring AI to your data and combine business data with LLMs using Oracle Database 23ai’s AI Vector Search and Azure OpenAI foundational models.

– Migrate mission-critical Oracle Database workloads to Microsoft Azure and achieve the same high Oracle Database performance that’s available in OCI while gaining extreme availability with proven Oracle capabilities and MAA Gold validation.

– Simplify management through native integration with Azure Console, APIs, monitoring, and operations.

– Purchase through the Azure Marketplace using Microsoft Azure Consumption Commitments (MACCs) and get a single bill for Oracle Database and Microsoft Azure services.

Features

– Exascale Infrastructure is completely elastic and pay-per-use. Users only specify the number of database server EPCUs and storage they need.

– Customers can start small when they provision Exascale infrastructure and scale up as needed. Beginning with a cluster of two small VMs with 300GB of usable database storage reduces initial infrastructure costs by up to 95 percent—and there’s no cost for IOPS.

– Independent, online scaling of Exascale compute VMs and the Exascale intelligent storage cloud lets customers economically meet their database needs without over-provisioning for future growth.

– The Exascale intelligent storage cloud distributes databases across all available storage servers to make thousands of CPU cores available to speed up any database query.

– Using the Exascale intelligent storage cloud and its redirect-on-write technology, customers can instantly create database-aware, intelligent, and space-efficient clones for development, test, or recovery—increasing developer and IT staff productivity while significantly reducing storage costs.

– AI Smart Scan offloads data- and compute-intensive AI Vector Search operations to the Exascale intelligent storage cloud. Vector search operations run up to 30X faster and enable customers to run thousands of concurrent AI vector searches in multi-user environments.

– Intelligent communication between servers enables high performance database scaling across the Exascale VM cluster while intelligent, low-latency OLTP IO quickly completes mission-critical transactions and supports more concurrent users.

– Unique data intelligence automatically offloads data-intensive SQL queries to the Exascale intelligent storage cloud, enabling extreme throughput scaling for intelligent analytics.

Features

– Bring AI to your data with Oracle Database 23ai on Exadata Cloud@Customer with Exadata System Software 24ai. New AI Vector Search, JSON Relational Duality, and other innovations make it easy to add innovative capabilities to existing applications and develop new ones.

– Deployment behind customers’ data center firewalls helps enterprises address data residency, security, and latency requirements.

– Run Autonomous Database and Exadata Database Service concurrently on the same Exadata Cloud@Customer infrastructure to efficiently consolidate cloud database workloads.

– Infrastructure owned, maintained, and managed by Oracle lets customers eliminate capital and management expenses, while running Autonomous Database dramatically reduces DBA management tasks.

– Starting configurations with two database servers and three storage servers provide 380 available database processing cores, 192 SQL processing cores in storage servers, 135 GB/sec of analytics throughput, and 240 TB of usable storage capacity, meeting the combined Oracle Database processing needs of many organizations.

– Independent 16X scaling of database servers and 21X scaling of storage resources let customers tailor solutions to meet their current needs and add additional capabilities later as demands change.

– High parallelism, low SQL read latencies, and up to 2,880 GB/sec of analytics throughput with 40 PB of HCC compressed databases let organizations run transaction processing, analytics, machine learning, and other database workloads fast, efficiently, and with lower costs.

– Flexible subscription pricing with online consumption scaling lets customers tightly control costs and meet peak requirements without interrupting operations.

– Oracle Operator Access Control lets customer IT teams address concerns about remote management by authorizing, limiting, monitoring, and controlling all remote infrastructure management.

Features

– Bring AI to your data with Oracle Database 23ai on Exadata Database Machine with Exadata System Software 24ai. New AI Vector Search, JSON Relational Duality, and other innovations make it easy to add innovative capabilities to existing applications and develop new ones.

– An integrated, full-stack solution with built-in high availability and monthly patching lets IT teams reduce system management while improving security.

– Starting configurations with 384 database processing cores, 192 SQL processing cores in storage servers, 135 GB/sec of analytics throughput, and 30.72 TB capacity optimized flash drives meet the combined Oracle Database processing needs of many organizations.

– Scaling up to single-rack or multirack systems with flexible numbers of database and storage servers per rack meets the database consolidation needs of virtually any organization.

– Unique capabilities, such as SQL query offload to intelligent storage servers and automatic indexing, let customers scale application performance with minimal tuning by DBAs.

– Support for virtually any data type, workload, and development style lets developers focus on innovation instead of integration, creating new data and event-driven applications or adding capabilities to current ones without the need for extensive external capabilities.

Features

– Innovate with OCI Oracle Database services running in Microsoft Azure data centers with native, low-latency access to Oracle Autonomous Database and Oracle Exadata Database Service.

– Bring AI to your data and combine business data with LLMs using Oracle Database 23ai’s AI Vector Search and Azure OpenAI foundational models.

– Migrate mission-critical Oracle Database workloads to Microsoft Azure and achieve the same high Oracle Database performance that’s available in OCI while gaining extreme availability with proven Oracle capabilities and MAA Gold validation.

– Simplify management through native integration with Azure Console, APIs, monitoring, and operations.

– Purchase through the Azure Marketplace using Microsoft Azure Consumption Commitments (MACCs) and get a single bill for Oracle Database and Microsoft Azure services.

Features

– Innovate with OCI Oracle Database services running in Google Cloud with native, low-latency access to Oracle Autonomous Database and Oracle Exadata Database Service.

– Bring AI to your data and combine business data with LLMs using Oracle Database 23ai’s AI Vector Search and Google’s Gemini foundational models.

– Migrate mission-critical Oracle Database workloads to Google Cloud and achieve the same high Oracle Database performance that’s available in OCI while gaining extreme availability with proven Oracle capabilities.

– Simplify management through native integration with Google Cloud Console, APIs, monitoring, and operations.

– Purchase through the Google Cloud Marketplace using Google Cloud consumption commitments and get a single bill for Oracle Database and Google Cloud services.