Exadata

Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs unique optimizations that let transaction processing, analytics, artificial intelligence, and mixed workloads run faster and more efficiently. Consolidating diverse Oracle Database workloads on Exadata platforms in enterprise data centers, Oracle Cloud Infrastructure (OCI), and multicloud environments helps organizations increase operational efficiency, reduce IT administration, and lower costs.

Announcing Exadata Exascale—The World’s Only Intelligent Data Architecture for Cloud

Join Kothanda Umamageswaran and Jia Shi to learn how next-gen Exadata cloud architecture enables extreme performance for AI, analytics, and mission-critical workloads at any scale.

Bring AI to your data

Run AI Vector Search with Oracle Database 23ai on Exadata Cloud@Customer with Exadata System Software 24ai and offload vector index creation to storage servers with Exadata System Software 24ai to get the performance and scale you need.

Use Exadata in the cloud at any scale

Oracle Exadata Exascale, the world’s only intelligent data architecture for cloud, provides extreme performance for AI, analytics, and mission-critical workloads at any scale. Its affordable scalability lets organizations of any size gain full Exadata benefits when running Oracle Database in the cloud.

Oracle Database World AI Edition

Join us for a keynote by Juan Loaiza, Executive Vice President, Mission-Critical Database Technologies. Find out what’s new with Oracle Database and AI through a range of on-demand sessions on specific topics such as AI Vector Search.

Why Oracle Exadata platforms are the best for Oracle Database

The same capabilities on-premises and in the cloud

Oracle Exadata lets customers run Oracle Database with high performance, scale, and availability wherever needed. Database workloads can easily move between on-premises data centers, Cloud@Customer deployments, OCI, and multicloud environments with Microsoft Azure and Google Cloud.

Moor Insights & Strategy: Achieving the Multi-Cloud Promise with Oracle (PDF)

Read Conduent’s story

Greater automation

Running the fully managed Oracle Autonomous Database on Exadata infrastructure in the public cloud and with Cloud@Customer lets organizations rapidly develop and deploy cloud native applications and eliminate the management of infrastructure and database software.

Blog: Oracle Announces Oracle Database 23ai General Availability

Read Banco da Amazônia’s story

Higher performance and scale for all workloads

Oracle Exadata integrates unique, database-aware optimizations that help accelerate OLTP, analytics, AI Vector Search, and consolidated database workloads. Its scale-out architecture lets organizations independently scale database and storage servers to optimize performance and cost.

NAND Research: Accelerating Enterprise AI with Oracle Database Vector Search (PDF)

Read HDFC Life’s story

Lower infrastructure and management costs

Organizations can reduce total costs by consolidating Oracle Database workloads of any scale and criticality on Exadata infrastructure. New Exadata Exascale capabilities increase IT and business agility by letting organizations start small and grow incrementally without downtime.

Watch the Exascale announcement

Read 7X’s story

Exadata

The highest performance for Oracle Database in the cloud

Benefit from unique hardware and software optimizations that accelerate all database workloads by running Autonomous Database and Exadata Database Service on dedicated Exadata Cloud Infrastructure in OCI or Microsoft Azure—and on Exadata Cloud@Customer in your data center. Advanced cloud automation, dynamic resource scaling, and flexible subscription pricing let you run database workloads faster and at a lower cost.

Features

– Bring AI to your data with Oracle Database 23ai on Exadata Database Service 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.

– Oracle Cloud Infrastructure (OCI) automation helps increase productivity, enabling you to quickly provision databases and easily manage them throughout their lifecycle.

– Independent scaling of database servers and storage resources enable you to increase efficiency and reduce costs by easily right-sizing your environment.

– High parallelism with low SQL read latencies gives your transactional applications the best throughput at the lowest cost to consistently meet even the most stringent service level agreements (SLAs).

 

– Intelligent storage servers offload SQL processing from database servers and deliver up to 2,880 GB/sec of scan throughput to generate deeper data-driven insights with petabytes of databases and tens of petabytes of compressed data warehouses.

– Exadata’s scale-out design—with hundreds to thousands of processing cores and up to 44 TB of memory—boosts operational efficiency by enabling you to consolidate tens to thousands of databases on a single Exadata Cloud Infrastructure.

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

– Dedicated, Oracle-managed infrastructure increases workload isolation and security.

Providing extreme performance to workloads of any scale and all Oracle Database customers

Exadata Database Service on Exascale Infrastructure enables databases of any scale to achieve extreme performance for AI, analytics, and mission-critical workloads. Customers can deploy affordable solutions and grow or shrink consumption without downtime using pools of shared database-optimized Exascale VM compute and the Exascale intelligent storage cloud.

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.

Automated and fully managed databases on a hybrid cloud database platform

Oracle Exadata Cloud@Customer lets customers move business-critical Oracle Database workloads to the cloud using the automated Exadata Database Service and the fully managed Autonomous Database. Built using the latest Exadata technology, it provides cloud automation and economics in customers’ data centers while helping organizations address data residency requirements.

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.


On-premises performance, scale, and availability for Oracle Database

Oracle Exadata Database Machine lets customers meet the needs of growing on-premises workloads with the highest performance, scale, and availability for transaction processing, analytics, AI Vector Search, and in-database machine learning workloads. By consolidating database workloads of all scale and criticality on a single system, customers reduce the amount of infrastructure they need, reduce administration, and lower costs.

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.

Run OCI Oracle Database services in Microsoft Azure

Oracle Database@Azure lets organizations accelerate innovation and run mission-critical workloads in the cloud using the best of OCI Oracle Database services and Exadata infrastructure running natively in Microsoft Azure.

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.

Run OCI Oracle Database services in Google Cloud

Oracle Database@Azure lets organizations accelerate innovation and run mission-critical workloads in the cloud using the best of OCI Oracle Database services and Exadata infrastructure running natively in Google Cloud.

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.

 

Deutsche Bank adopts Exadata Cloud@Customer for big cost savings

“Oracle fits into [our] strategy and complements our existing journey. There will be applications staying in the on-premises world, and we need to invest in simplifying them. It fully supports our cloud strategy, supports consuming technology as a service, and comes with significant financial benefits.”

Bernd Leukert
Head of Technology, Data and Innovation, Deutsche Bank

Guitar Center improves performance more than 30% and enjoys greater adaptability using Exadata Database Service

“With OCI and its Exadata Database Service, we’re able to operate a highly connected, distributed cloud environment without needing to replatform our core systems. We’ve improved the efficiency of our systems and expect to be able to realize cost savings of more than 40%—while delivering new services and experiences to our customers.”

Ravi Balwada,
CTO, Guitar Center

Samsung SDS innovates with 300 Oracle Exadata systems

“We have implemented nearly 300 Exadata systems for our customers in manufacturing, financial services, construction and engineering, and public and private sector services. Aligning with our digital innovation strategy and our journey to enterprise cloud, we have now adopted the first Exadata Cloud@Customer in one of our data centers and look forward to deploying Oracle Autonomous Database.”

Dr. WP Hong
CEO, Samsung SDS

FedEx moves accounts receivable system to Oracle Cloud and Exadata Database Service

“I’m glad we made the decision to move the Oracle E-Business Suite instance to OCI. It’s one of the best decisions I have been part of in my 23 years at FedEx.”

Rajesh Singh
Vice President of IT, FedEx

TIM Brasil implements a multicloud architecture with databases running on Oracle Exadata Database Service

“We are undergoing an important cloud transformation to improve our environmental, social, and governance practices. Using a multicloud strategy, we are the first carrier in Brazil to move 100% of our workloads to the cloud. It includes moving our customer billing system, our CRM and VMware workloads to Oracle Cloud Infrastructure.”

Pietro Labriola
CEO, TIM Brasil

LALUX innovates and maintains data sovereignty using Oracle Exadata Cloud@Customer

“We were dealing with Solvency II, cloud guidelines IT governance, GDPR, and more. Staying compliant with these rules consumes an important part of the budget and workload at the expense of innovation projects. However, a generation of new technology, especially around data, represents a huge opportunity for LALUX as an innovation enabler.”

Vincent Arnal
Head of IT Department, LALUX

Exadata use cases

  • Improve customer experiences with semantic search

    Add similarity search of structured or unstructured data to existing applications and help LLMs deliver more accurate and contextually relevant results with retrieval-augmented generation (RAG).

    Visit the AI Vector Search web page

  • Deliver a database cloud in enterprise data centers

    Simplify private database clouds and increase developer productivity with Exadata Database Service and Autonomous Database on Exadata Cloud@Customer.

    Read the Fibabanka story

  • Run mission-critical apps at the speed of business

    Run Oracle and third-party, packaged applications faster and at lower costs with increased transaction processing and reporting performance.

    Read the Equinix story

  • Generate new insights

    Operate data warehouses faster and gain new insights with Oracle Exadata—on-premises or in OCI.

    Read the Bofrost story

  • Consolidate databases for greater efficiency and lower costs

    Run the automated Exadata Database Service and fully managed Autonomous Database on the same Oracle Exadata Cloud@Customer, increasing consolidation efficiency while reducing both management and consumption costs.

    Read the Cerved case study

  • Accelerate multicloud architectures

    Take advantage of the best of multiple clouds by combining Microsoft Azure services with high performance Oracle Database services from OCI using Oracle Database@Azure.

    Learn about Oracle Database@Azure

September 9, 2024

Oracle Database and Google Cloud Services accelerate application development and cloud migrations with the general availability of Oracle Database@Google Cloud

Kambiz Aghili, vice president of product, Oracle Cloud Infrastructure
Gurmeet Goindi (GG), Director of Product Management, Google Cloud

Today, we’re pleased to announce the general availability of Oracle Database@Google Cloud launching in four Google Cloud regions, including Northern Virginia, Salt Lake City, London, and Frankfurt, and we’ll be delivering many more regions in the coming months across all our geographies including North America, EMEA, APAC, and LATAM, more than doubling the count of regions that we currently have live.

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