Exadata Cloud@Customer

Key differentiators

Cloud database simplicity

Create modern applications with any type of data, development style, and workload while automatically benefiting from high performance, consistent security models, and mission-critical capabilities.

Data residency

Oracle databases are secured behind customers’ data center firewalls to help meet data residency, security, and governance requirements.

Efficient consolidation

Organizations can concurrently run autonomous and non-autonomous databases on the same Exadata Cloud@Customer, enabling them to efficiently consolidate all types of workloads using both a fully managed cloud database service and one where they control their databases.

Database performance

Cloud databases in customer data centers run faster and with higher consolidation rates using more than 60 unique Oracle Database capabilities and more database IOPS, higher analytics throughput, and up to 98% less SQL IO latency than other cloud database services running in customer data centers.

Cost-effective cloud economics

Exadata Cloud@Customer helps organizations take full advantage of cloud economics by automating time-consuming and expensive manual management tasks and enabling online consumption scaling, so customers only pay for the resources they use.

Enhanced security

Oracle Operator Access Control increases security by enabling organizations to fully supervise what Exadata Cloud@Customer resources Oracle Cloud operators can access and what actions they can take during remote management sessions.

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Exadata performance, scale, and availability

Full-stack Oracle Database solution

Running Oracle databases with optimized performance, efficiency, and scaling is easier with a full-stack, integrated solution that’s managed and patched by Oracle Cloud experts instead of a customer’s internal IT team.

High transactional performance

Business-critical OLTP applications run faster with Exadata’s unique scale-out architecture that combines database-transparent persistent memory (PMEM) and RDMA over Converged Ethernet (RoCE) to improve transaction responsiveness with <19 microsecond latency and up to 22.4M SQL IOPS per rack.

Accelerate analytics and machine learning

Organizations accelerate analytics and in-database machine learning applications by processing low-level SQL queries, analytics, and machine learning algorithms in intelligent storage servers that provide up to 540 GB/sec of scan throughput and storage for data warehouses with up to 6 PB of compressed data.

Greater database consolidation

All types of Autonomous Database and Exadata Database workloads can be consolidated on a single set of Exadata Cloud@Customer infrastructure, reducing infrastructure and management costs while maintaining operational isolation.

Oracle Real Application Clusters (Oracle RAC)

Autonomous Database Service and Exadata Database Service use Oracle RAC to enable online performance scaling and high availability for mission-critical database workloads.

Oracle Maximum Availability Architecture (Oracle MAA)

Oracle MAA best practices for protecting mission-critical Oracle databases against outages and data loss are easily accessible on Exadata Cloud@Customer from the OCI console and are built into the Autonomous Database Service.

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Autonomous Database

Automated tuning and scaling

Oracle Database workloads are automatically analyzed, tuned, and scaled to optimize performance for OLTP, analytics, and application development workloads without interrupting their operations.

Automated provisioning

Developers are more productive with a self-service database cloud that enables them to quickly provision their own databases whenever needed.

Automated fault management and patching

Protect critical customer databases from downtime due to failures, maintenance, user errors, and cyberattacks with the automatic application of the latest software updates and security patches.

Increased staff efficiency

By automating everything from performance monitoring through data protection, Autonomous Database increases the efficiency of IT staff, reducing costs by up to 78% (PDF), as described in IDC’s analysis.

Pay-per-use economics

Autonomous Database helps customers reduce costs by only charging for actual vCPU consumption with online resource scaling, fractional vCPUs, and the ability to set consumption to zero when not in use.

Customizable environments

Multiple-VM Autonomous Database allows customers to set up isolated operational environments such as DevTest, staging, or production with different configurations, access rules, quotas, and licensing (BYOL and license included) to optimize support for multiple workloads at the same time.

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Oracle Database Cloud

Converged database

Organizations use Autonomous Database Service and Exadata Database Service running on the same Cloud@Customer infrastructure with any type of data for any workload and any development style, eliminating data silos as well as management and security fragmentation caused by multiple, single-purpose databases.

Higher density consolidation

By moving Oracle databases deployed on traditional on-premises environments to Autonomous Database and Exadata Database running together on the same set of Exadata Cloud@Customer Infrastructure, organizations can reduce the number of database systems and services they pay for and manage.

Consolidated database management

IT teams operate more efficiently because they can manage hundreds of databases at the same time using Oracle Multitenant capabilities and consolidate thousands of OLTP, analytics, and mixed database workloads on a single set of Exadata Cloud@Customer infrastructure.

Multiple database versions

Organizations simplify moving to the cloud by using multiple Oracle Database versions and Autonomous Database on the same Exadata Cloud@Customer.

In-database machine learning

Organizations can easily add machine learning (ML) capabilities to Oracle Database applications by eliminating the data extraction, reformatting, and movement required by stand-alone ML services.

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Security and data residency

Defense in-depth

Oracle Cloud helps protect critical Oracle databases with multiple levels of ML-based security to identify and respond to threats in real time.

Operational isolation

Autonomous Database Service running on Exadata Cloud@Customer infrastructure uses isolated VMs and separate network configurations to increase security in customer data centers.

End-to-end encryption

Private data in Oracle databases is protected with always-on encryption for data at rest, in motion, and backed up with customer-owned encryption keys.

Data residency and security

Exadata Cloud@Customer infrastructure helps organizations meet data residency and security requirements by keeping all database information in their data centers.

Full-stack patching by Oracle

Oracle creates full-stack patch sets and coordinates their rapid deployment with enterprises’ IT teams to reduce threats and risks without interrupting business.

Zero data loss and downtime

Built-in fault tolerance, automated detection and remediation of problems, and integration with Oracle’s Zero Data Loss Recovery Appliance, as well as options for local and remote disaster recovery, enable organizations to achieve higher availability for critical Oracle databases.

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High availability

Oracle Maximum Availability Architecture

Maximize the availability and protection of vitally important Oracle databases using proven Oracle Maximum Availability Architecture best practices.

No single point of failure

Enable crucial customer Oracle databases to operate 24/7 across failures with Exadata’s full server, storage, and networking redundancy.

Proactive fault management

Autonomous Database on Exadata Cloud@Customer helps increase availability for customers’ Oracle databases by using AI to detect and remediate potential problems before users notice.

Oracle Real Application Clusters (Oracle RAC)

Oracle Exadata Cloud@Customer enables local performance scaling and high availability for important customer databases with Oracle RAC.

Oracle Active Data Guard

For business continuity and disaster recovery, Active Data Guard maintains both synchronized standby and replica Oracle databases in customers’ data centers or the cloud.

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Lower costs

Lower vCPU costs

Oracle Database vCPUs run faster on Oracle Exadata Cloud@Customer than on other local cloud database services because they use intelligent storage servers to offload SQL operations, reducing run times and costs.

Pay-per-use subscription pricing

Scale cloud resource consumption to business needs, or let Autonomous Database automatically scale resources so organizations only pay for the resources used.

Zero consumption databases

Autonomous Database on Exadata Cloud@Customer enables organizations to create persistent databases with zero consumption costs at the time of creation or when consumption is set to zero.

Elastic storage expansion

Organizations with data-intensive workloads can configure up to 12 intelligent storage servers with any Exadata Cloud@Customer X9M configuration, reducing the cost of deploying solutions with petabytes-worth of data warehouses by up to 45% when compared to previous generations.

More efficient consolidation

By running Autonomous Database Service and Exadata Database Service on the same Cloud@Customer infrastructure, organizations can reduce the number of database systems and services they pay for and manage.

Less management

Resource consolidation and management by Oracle Cloud operators allow organizations to reduce the cost of managing database infrastructure by up to 69% as described in IDC’s analysis of Exadata Cloud@Customer.

Software features

Concurrently run multiple database services

Autonomous Database Service and Exadata Database Service concurrently run in isolated VM clusters on the same Cloud@Customer infrastructure, making it easy for customers to start using a fully autonomous database service with no up-front costs.

Persistent memory optimizations

An organization’s critical transactional applications run faster because database servers directly access up to 18 TB of persistent memory in shared storage servers with no OS or networking overhead, reducing read latencies by up to 90%, to less than 19 microseconds.

Smart Scan

Applications processing large amounts of data run faster because SQL queries, analytics, and ML algorithms are offloaded to intelligent storage servers, minimizing data transfers and freeing database server resources for other workloads.

Automated resource management

Built-in IO resource management and the ML-based automated indexing and tuning of Autonomous Database allow databases to run at peak speed without DBA management.

VM cluster customization

VM clusters for Autonomous Database can be created with customized mixtures of compute and storage resources to support different workloads and operational isolation requirements for critical workloads.

Cloud control plane

Users securely provision and manage databases through a secure connection to the Oracle Cloud Infrastructure control plane using an encrypted web browser, command line interface, or REST API.

• Analyst report: Reimagining the data-driven bank (PDF)

Exadata Cloud@Customer Shapes

Exadata Cloud@Customer Base System

Enable 0 to 48 OCPUs with 38 TB of NVMe flash cache, 73 TB of usable storage, and up to 562,500 SQL IOPS.

Exadata Cloud@Customer X9M Quarter Rack

Enable 0 to 124 OCPUs with 4.5 TB of PMEM, 76 TB of NVMe flash cache, and 190 TB of usable storage with up to 5.6 million SQL IOPS and 144 cores of SQL processing power in intelligent storage servers.

Exadata Cloud@Customer X9M Half Rack

Enable 0 to 248 OCPUs with 9 TB of PMEM, 153TB of PCIe 4.0 NVMe flash cache, and 381 TB of usable storage with up to 11.2 million SQL IOPS and 288 cores of SQL processing power in intelligent storage servers.

Exadata Cloud@Customer X9M Full Rack

Enable 0 to 496 OCPUs with 18 TB of PMEM, 307 TB of PCIe 4.0 NVMe flash cache, and 763 TB of usable storage, as well as up to 22.4 million SQL IOPS and 576 cores of SQL processing power in intelligent storage servers.

Exadata Cloud@Customer Storage Servers

Customers may use Exadata Cloud@Customer elastic storage expansion to increase storage capacity and intelligent storage processing capabilities without adding additional compute servers. Organizations with base, quarter, and half-rack systems can expand them up to a total of 12 storage servers.

High-performance networking

PCIe 4.0 dual-port active-active 100Gb/sec RDMA over Converged Ethernet (RoCE) networking provides 80% more throughput between storage and compute servers than to X8M systems, allowing customers’ consolidated workloads to run faster. Communication with application servers and multi-cloud environments is optimized across up to sixteen 25 Gb/sec Ethernet connections.

Cloud control plane servers

Two local servers enable remote Oracle infrastructure management and local operations if networks are unavailable.