Exadata Cloud Service

Analyze larger data warehouses in the cloud

Starting shapes enable 1 PB data warehouses

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 limits costs

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.

Scalability improves insights

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.

Intelligent storage increases throughput

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.

Storage-based analysis speeds results

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.

• Analyst report: Oracle Exadata Cloud Service X8M: No Database or Workload Is Too Large (PDF)
• Analyst Report: Oracle Exadata Cloud Service X8M Brings Leading Elasticity to Enterprise Needs (PDF)
• Datasheet: Exadata Cloud Service X8M (PDF)

Accelerate transactional databases in the cloud

Starting shape enables up to 4.5M SQL IOPS

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.

PMEM enables industry-leading OLTP latency

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.

Server scaling limits costs

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.

Online scalability accelerates IO intensive applications

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 OCPU scaling controls costs

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.

Automatic indexing improves performance

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.

• Analyst report: Rise of the Elastic Enterprise Database Cloud (PDF)
• Analyst Report: Oracle Exadata Cloud Service X8M Accelerates Mission-critical Applications in/to the Public Cloud (PDF)

Rapidly create converged Oracle Database applications in the cloud

Unified support simplifies development

Support for diverse data types, including relational, document, and spatial, allows developers to easily create innovative applications using a single database and programming model.

Machine learning enables innovative applications

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.

JSON support accelerates document databases

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.

Convergence reduces complexity

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 accelerates analytics

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.

Quickly create differentiated applications

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.

• Oracle Application Express
• Oracle JSON document database

Increase availability and business continuity for Oracle Database in the cloud

Oracle MAA best practices increase uptime

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 deployments reduce downtime

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.

Exadata Cloud Service protects on-premises databases

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.

OCPU scaling reduces costs

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.

Integrated data protection simplifies compliance

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.

Maximum flexibility with up to 30 read replicas

Exadata Cloud Service allows customers to use up to 30 Active Data Guard read-only standbys per primary database, which is six times more than allowed on Amazon RDS for Oracle. The read replicas may be scattered across different regions, availability domains, other clouds, and on-premises.

• Oracle Real Application Clusters
• Oracle Active Data Guard

Improve operational efficiency with database consolidation in the cloud

Multi-version support simplifies consolidation

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.

Scalable resources enable greater consolidation

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.

Storage capacity increases efficiency

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.

Resource management increases predictability

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.

Redundancy increases uptime

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.

Consolidation increases performance and lowers costs

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.

• Technical brief: Best practices for database consolidation (PDF)

Easily move enterprise database workloads to the cloud

Architectural equivalency simplifies moves

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 reduces migration efforts

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.

Identical management reduces training requirements

DBAs have access to the same Oracle Database options and management packs available on-premises, simplifying moves and reducing training requirements.

Oracle managed infrastructure reduces IT workloads

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.

• Oracle Exadata Cloud Service delivers the scalable, high performance you need to maximize your data's value while transforming your business in the cloud (2:32)
• Analyst Report: With a new Exadata service, Oracle cranks up the volume on its public cloud database capabilities (PDF)

Securely run enterprise database workloads in the cloud

Encryption protects customer data

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.

Database security limits access

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.

Threat monitoring and blocking reduce risks

Oracle Audit Vault and Database Firewall monitor database traffic to detect and block threats, reducing customer risks while improving compliance reporting.

Oracle Data Safe

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 enhances foundational security

Oracle Cloud Infrastructure’s security-first design with platform, connectivity, and operational security allows customers to focus on internal policies that impact security.

Certifications simplify adoption

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.

• Oracle Database Security
• Oracle Cloud Infrastructure Security

Lower total cost of running enterprise databases in the cloud

Flexible provisioning aligns resources with demand

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 reduce costs

Intelligent storage servers run SQL queries, analytics, and machine-learning algorithms without consuming OCPU resources, increasing customers’ application performance and reducing costs.

Scalable OCPU consumption lowers 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.

Flexible subscriptions limit commitments

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.

Pricing models reduce costs

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 managed infrastructure reduces IT workloads

Oracle experts manage, patch, and maintain Exadata Cloud Service infrastructure, reducing customers’ infrastructure management costs while freeing resources to drive business growth.

• Analyst report: Oracle Exadata Cloud Service takes elasticity to a new level (PDF)