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Oracle Exadata Cloud Service is the best place for customers to run Oracle Database workloads in the cloud. Dedicated X8M infrastructure is isolated from other users, allowing database teams to improve security, performance, and uptime for customer databases. A scalable architecture with up to 1,600 OCPUs and 2.5 PB uncompressed databases enables customers to run any type and size of enterprise database workload in Oracle Cloud Infrastructure. Flexible licensing options and non-disruptive up-and-down scaling of compute resources allow customers to quickly adjust OCPU consumption to match workload demands, lowering costs with pay-per-use economics.
Watch the Exadata Cloud Service overview video (2:32)
Juan Loaiza, Oracle executive vice president of mission-critical database technologies describes why Exadata Cloud Service X8M delivers the highest performance and scale for Oracle Database in the cloud.
Learn why Wikibon says Oracle Exadata Cloud Service X8M is the first to achieve True Cloud Database status by running a broad range of enterprise workloads at scale with automation and pay-per-use cloud economics.
Understand why Constellation Research says Exadata Cloud Service X8M enables key elasticity that enterprises need for next-generation applications.
A scalable architecture offloads SQL queries and analytics to storage servers, allowing customers to run all types of Oracle Database workloads faster on Exadata Cloud Service. SQL read latency as low as 19 microseconds, 50X faster than the 1 millisecond latency of AWS Relational Database (RDS), enables customers to run database workloads faster, consume fewer resources, and lower costs.
Exadata Cloud Service allows customers to meet the needs of diverse workloads by independently provisioning up to 1,600 OCPUs on database servers and up to 2.5 PB of uncompressed database capacity on intelligent storage servers. Customers can consolidate more and larger databases with 25X the compute capacity and 40X the database capacity of AWS RDS’s limits of 64 CPU cores and 64 TB databases.
Exadata Cloud Service allows customers to reduce downtime for crucial databases and business applications with one-click provisioning of Oracle Real Application Clusters (RAC) and Oracle Active Data Guard using Oracle Cloud Infrastructure (OCI) automation. A scale-out system architecture with redundant components, proactive fault management, and online maintenance enables customers to continue database operations across failures or outages.
Using a converged Oracle Database instead of multiple single-purpose databases allows customers to eliminate security fragmentation and reduce database management workloads. Exadata Cloud Service’s scale-out architecture with embedded Oracle Machine Learning algorithms enables developers to create innovative, high-performance applications without having to integrate stand-alone services running outside the database.
Offloading of SQL and analytics operations to storage servers that do not consume OCPU resources, allows customers to run analytics workloads in less time, consume fewer resources, and reduce costs. Low minimum consumption requirements with non-disruptive up-and-down scaling of OCPU resources enables customers to lower costs by matching consumption with workload demands.
Exadata Cloud Service X8M starting configurations allow customers to use Hybrid Columnar Compression to limit their costs by using small systems that support up to 1 PB data warehouses. Non-disruptive scaling of OCPU resources between 4 and 100 OCPUs enable organizations to increase performance to meet peak requirements.
Independent scaling of compute and storage resources allows customers to lower the cost of creating large data warehouses by scaling uncompressed databases to 2.5 PB in size, without adding more database servers or licenses.
Creating 25 PB data warehouses using typical 10:1 Hybrid Columnar Compression and analyzing them with up to 3,072 storage server CPU cores allows customers to make fast, data-driven decisions.
Exadata Cloud Service X8M offloads SQL processing and analytics to intelligent storage servers, enabling customers to access data at up to 75 GB/s with a starting configuration, over 10X faster than AWS RDS’s Oracle Database limit of 7.5 GB/s to shared, persistent storage.
Exadata Cloud Service’s allows customers to develop deeper insights from data warehouses by offloading analytics and machine-learning algorithms to up to 3,072 CPU cores in intelligent storage servers, increasing analytics performance without adding database licensing costs.
Exadata Cloud Service X8M starting configurations allow customers to scale from 4 to 100 OCPUs of database compute power, enabling customers to accelerate OLTP databases with 3 million SQL read IOPS, 12X more than the AWS RDS limit of 260,000 IOPS to shared storage.
Database-optimized persistent memory (PMEM) integration reduces SQL read latencies to as low as 19 microseconds, up to 98% less than AWS RDS’s 1 millisecond latency, allowing customers to lower their costs by processing more transactions with fewer resources.
Increasing the number of provisioned OCPUs from to as many as 1,600 while independently scaling storage allows customers to lower the costs of running transaction-intensive workloads and easily grow configurations to support future requirements.
Storage scalability to 2.5 PB of uncompressed database capacity with 3,072 cores for SQL offload allows customers to increase IOPS rates and throughput for OLTP applications, eliminating the complexity and costs of deploying multiple systems to meet performance requirements.
On-demand up-and-down scaling of OCPU consumption allows customers to meet immediate database needs without interrupting database operations, enabling pay-per-use consumption that minimizes costs.
Automated creation, tuning, and deletion of indexes simplifies DBA workloads, which allows customers’ OLTP applications to run faster because indexes are continually optimized as workloads change.
Support for diverse data types, including relational, document, and spatial, allows developers to easily create innovative applications using a single database and programming model.
Built-in machine-learning (ML) algorithms rapidly analyze data and build ML models within Oracle Database, allowing developers to easily add new capabilities to existing applications.
Built-in JSON support with simple document application programming interfaces (APIs) and ACID transactions allows developers to quickly create applications using high-performance document databases running on Exadata Cloud Service's scale-out architecture.
Converged databases allow developers to create independent microservices with different data types and access models while enabling IT teams to avoid the complexity of creating, deploying, and securing multiple databases.
Oracle In-Memory allows developers to create innovative applications that embed real-time analytics within transactional applications. Automatic data conversion, location, and vectorized processing across multiple storage servers enable customers’ applications to run in real time.
Oracle Application Express (APEX) is included with Exadata Cloud Service X8M, enabling developers to create applications faster with minimal coding, reducing costs and accelerating time to market.
Built-in Oracle Maximum Availability Architecture (Oracle MAA) best practices increase database availability, allowing customer applications to continue to operate across component failures and data center outages.
Single-click deployment of Oracle Real Application Clusters (Oracle RAC) and Oracle Active Data Guard allows customers to easily protect databases from multiple levels of outages. Oracle RAC reduces planned and unplanned downtime with server-level fault tolerance, non-disruptive maintenance, and resource scaling, Oracle Database capabilities not supported on AWS RDS.
Using Exadata Cloud Service as Oracle Data Guard target allows customers with on-premises Oracle databases to protect data in Oracle Cloud Infrastructure and restore operations there if required.
Standby locations with properly sized Exadata Cloud Service instances consume low levels of OCPUs for business continuity protection, reducing customer costs. Resource consumption at standby locations can easily be increased without interrupting operations, enabling customers to improve resource utilization by running read-only workloads or take over primary database operations when needed.
Oracle Cloud Infrastructure automation allows DBAs to enable Oracle Database backups with a single click. Customers protect encrypted databases in OCI object storage, providing an additional layer of protection against cyberattacks and simplifying compliance.
Support of Oracle Database 11.2.0.4 through 19c allows customers to simplify support for Oracle, ISV, and custom applications by consolidating them on a single service, regardless of the underlying database version.
Up to 1,600 CPU cores and 44 TB of memory on database servers, 25X the compute and 11X the memory of AWS RDS’s 64 CPU cores and 3.9 TB memory limits, allow customers to reduce IT complexity and improve efficiency by consolidating more databases per service.
Uncompressed databases of up to 2.5 PB in size enable customers to increase operational efficiency and reduce costs by consolidating more databases per services than with AWS RDS’s limit of 64 TB for Oracle Database.
Oracle Exadata IO Resource Management automatically prioritizes IOs across different databases based on user-defined policies, allowing crucial customer databases to run at peak performance and all databases to obtain the resources they need.
Exadata Cloud Service consolidates databases on highly-scalable and available infrastructure instead of single-node services, allowing customer databases to support business operations across component failures and maintenance.
Consolidating databases with Exadata Cloud Service allows IT teams to dedicate more resources to crucial workloads during periods of peak demand, allowing customer applications to run faster and with lower costs.
The same capabilities as on-premises Oracle Exadata systems allows customers to move existing workloads to the cloud without worrying about availability, scaling, or performance.
Customer control of database software and support of multiple database versions customers to move existing workloads to Oracle Cloud Infrastructure with the lowest possible effort.
DBAs have access to the same Oracle Database options and management packs available on-premises, simplifying moves and reducing training requirements.
Oracle experts manage, patch, and maintain Exadata Cloud Service infrastructure in more than 29 Oracle Cloud Infrastructure regions, reducing IT team workloads while eliminating data center-related costs.
Always-on encryption with customer-controlled keys allows IT teams to protect information from unauthorized access to at-rest, in-motion, or backed-up databases.
Integrated database security, including privileged user access controls, activity monitoring, and auditing, allows customers to protect data by limiting access to database software and databases.
Oracle Audit Vault and Database Firewall monitor database traffic to detect and block threats, reducing customer risks while improving compliance reporting.
Oracle Data Safe allows customers to reduce risks by evaluating vulnerabilities and monitoring security controls from a unified control center. Identifying sensitive data and masking it for non-production usage helps DBAs address compliance requirements.
Oracle Cloud Infrastructure’s security-first design with platform, connectivity, and operational security allows customers to focus on internal policies that impact security.
Exadata Cloud Service offers extensive certifications and is available as commercial, government, or Dedicated Region Cloud@Customer services, allowing any customer to modernize their database environment.
Provisioning initial shapes to meet immediate needs and adding compute or storage capabilities in small increments when required allow customers to eliminate over-provisioning costs.
Intelligent storage servers run SQL queries, analytics, and machine-learning algorithms without consuming OCPU resources, increasing customers’ application performance and reducing costs.
Non-disruptive up-and-down scaling of database OCPUs and per-second consumption pricing allow customers to tightly control costs by matching consumption to workload needs.
Infrastructure with 48-hour minimum commitments and pay-as-you-go pricing models allow customers to minimize costs by paying only for the resources and duration required.
All-inclusive and bring-your-own-license consumption models enable customers to manage costs with advanced capabilities or by leveraging existing Oracle Database licenses.
Oracle experts manage, patch, and maintain Exadata Cloud Service infrastructure, reducing customers’ infrastructure management costs while freeing resources to drive business growth.
Oracle Exadata Cloud Service is used by customers around the world to accelerate applications, move enterprise applications to the cloud, and reduce costs.
Replace outdated infrastructure with modern, cloud solutions that run Oracle Database workloads with high performance, scale, and availability.
Reduce costs and operate more efficiently by consolidating diverse on-premises Oracle Database workloads to Oracle Cloud Infrastructure using Exadata Cloud Service.
Quickly provision high-performance databases for development and testing using low-code environments, accelerating delivery of cloud or on-premises applications.
Maintain synchronized standby or replica databases for recovery of on-premises or Oracle Cloud Infrastructure databases.
Execute time-sensitive applications, initiate new programs, and accelerate quarterly financial closes with up-and-down scaling of high-performance resources without interrupting database operations.
Product |
Unit Price |
Metric |
Oracle Cloud Infrastructure - Oracle Database Exadata Infrastructure - Quarter Rack - X8M |
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Oracle Cloud Infrastructure - Oracle Database Exadata Infrastructure - Database Server - X8M |
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Oracle Cloud Infrastructure - Oracle Database Exadata Infrastructure - Storage Server - X8M |
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Product |
Unit Price |
Metric |
Exadata Cloud Service - Database OCPU |
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Exadata Cloud Service - Database OCPU - BYOL |
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Product |
Unit Price |
Metric |
Oracle Cloud Infrastructure - Database Oracle Exadata Infrastructure - Base System |
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Product |
Unit Price |
Metric |
Oracle Cloud Infrastructure - Oracle Database Exadata Infrastructure - Quarter Rack - X8 |
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Oracle Cloud Infrastructure - Oracle Database Exadata Infrastructure - Half Rack - X8 |
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Oracle Cloud Infrastructure - Oracle Database Exadata Infrastructure - Full Rack - X8 |
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Product |
Unit Price |
Metric |
Oracle Cloud Infrastructure - Oracle Database Exadata Infrastructure - Quarter Rack - X7 |
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Oracle Cloud Infrastructure - Oracle Database Exadata Infrastructure - Half Rack - X7 |
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Oracle Cloud Infrastructure - Oracle Database Exadata Infrastructure - Full Rack - X7 |
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The latest Exadata X8M hardware brings the benefits of Persistent Memory (PMEM) and Remote Direct Memory Access over Converged Ethernet (RoCE) to the Oracle Cloud. On top of that, Exadata Cloud Service X8M redefines elasticity in the cloud, with configurations that scale to over 1,600 cores and 25 PB of HCC compressed data.
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