Oracle Exadata Cloud@Customer is the simplest way to move an organization’s business-critical Oracle Database workloads to the cloud. It simultaneously runs Oracle Exadata Database Service and the fully managed Oracle Autonomous Database Service inside customers’ data centers and behind their firewalls to help meet strict data residency and security requirements. Built using the latest Exadata technology, Exadata Cloud@Customer delivers the highest cloud database performance, scale, and availability, enabling organizations to run all types of database workloads faster and with up to 69% less management, according to IDC’s Business Value Analysis. Now Oracle makes it easier and less expensive for customers to adopt Autonomous Database by running it on VMs in Exadata Cloud@Customer.
Watch the Exadata Cloud@Customer video (2:06)
Juan Loaiza, executive vice president for mission-critical database technologies, introduces a new, low-cost entry point for Autonomous Database in customer data centers.
Find out how running autonomous and non-autonomous databases on the same Oracle Exadata Cloud@Customer increases operational efficiency and provides developers with a fully managed, self-service database cloud.
Cloud Wars concludes that for on-premises hardware vendors touting their abilities to run Oracle databases—companies such as HPE, Dell, and others—the Exadata X9M represents an extraordinary competitive challenge.
OMDIA highlights the fact that for financial services institutions, the Oracle Cloud@Customer portfolio is the leading choice to meet all of their business and technology objectives for an on-premises database cloud deployment.
Find out why Wikibon says that Exadata Cloud@Customer is “redefining the cloud experience and breaking new ground.”
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.
Oracle databases are secured behind customers’ data center firewalls to help meet data residency, security, and governance requirements.
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.
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.
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.
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.
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.
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.
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.
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.
Autonomous Database Service and Exadata Database Service use Oracle RAC to enable online performance scaling and high availability for mission-critical database workloads.
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.
Oracle Database workloads are automatically analyzed, tuned, and scaled to optimize performance for OLTP, analytics, and application development workloads without interrupting their operations.
Developers are more productive with a self-service database cloud that enables them to quickly provision their own databases whenever needed.
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.
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.
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.
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.
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.
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.
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.
Organizations simplify moving to the cloud by using multiple Oracle Database versions and Autonomous Database on the same Exadata Cloud@Customer.
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.
Oracle Cloud helps protect critical Oracle databases with multiple levels of ML-based security to identify and respond to threats in real time.
Autonomous Database Service running on Exadata Cloud@Customer infrastructure uses isolated VMs and separate network configurations to increase security in customer data centers.
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.
Exadata Cloud@Customer infrastructure helps organizations meet data residency and security requirements by keeping all database information in their data centers.
Oracle creates full-stack patch sets and coordinates their rapid deployment with enterprises’ IT teams to reduce threats and risks without interrupting business.
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.
Maximize the availability and protection of vitally important Oracle databases using proven Oracle Maximum Availability Architecture best practices.
Enable crucial customer Oracle databases to operate 24/7 across failures with Exadata’s full server, storage, and networking redundancy.
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 Exadata Cloud@Customer enables local performance scaling and high availability for important customer databases with Oracle RAC.
For business continuity and disaster recovery, Active Data Guard maintains both synchronized standby and replica Oracle databases in customers’ data centers or the cloud.
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 up to 40%, as described in Wikibon’s analysis (PDF).
Scale cloud resource consumption to business needs, or let Autonomous Database automatically scale resources so organizations only pay for the resources used.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
Enable 0 to 48 OCPUs with 38 TB of NVMe flash cache, 73 TB of usable storage, and up to 562,500 SQL IOPS.
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.
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.
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.
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.
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.
Two local servers enable remote Oracle infrastructure management and local operations if networks are unavailable.
“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.”
Head of Technology, Data and Innovation, Deutsche Bank
“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
“In the early 1990s, there were a bunch of databases and other platforms. Oracle Database had the best database offering in the market. We selected Oracle, and we selected well. I want to work with quality tools, and this is one of them.”
Director of Research Information Systems, Texas A&M University
“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.”
Head of IT Department, LALUX
“We have used Exadata systems for the past five years to support many applications across dozens of lines of business, including crucial billing and network management systems. By using Exadata, we improved mission-critical Oracle Database performance by up to 3X, and reduced our security exposure.”
Head of IT Operations, Entel
“I think data and cloud are the core to digital transformation, and data security, data locality, and data sovereignty are the key issues. You look at Exadata Cloud@Customer and it’s such a smart innovation; it’s a hybrid platform and it’s behind our firewall.”
Simplify your operations with Oracle Cloud management and Autonomous Database while meeting data residency and connectivity requirements not possible in public cloud data centers.
Run database-intensive time-sensitive applications, initiate new business programs, and accelerate your quarterly financial closes with dynamic resource scaling.
Increase innovation by developing and testing your Oracle Database applications with built-in ML capabilities and full-scale databases, while only paying for what you use.
Concurrently run autonomous and non-autonomous databases on the same Oracle Exadata Cloud@Customer, increasing consolidation efficiency while reducing both management and consumption costs.
Price per month USD
Gen 2 Exadata Cloud@Customer Infrastructure - Base System - X9M
Gen 2 Exadata Cloud@Customer Infrastructure -X9M – Quarter Rack
Gen 2 Exadata Cloud@Customer Infrastructure -X9M – Half Rack
Gen 2 Exadata Cloud@Customer Infrastructure -X9M – Full Rack
Gen 2 Exadata Cloud@Customer Storage Server - X9M
Gen 2 Exadata Cloud@Customer Base System Storage Server - X9M
Comparison Price ( /vCPU)*
Oracle Database Exadata Cloud - Database vCPU
OCPU per hour
Oracle Database Exadata Cloud - Database vCPU - BYOL
OCPU per hour
Exadata Cloud@Customer - Autonomous Transaction Processing - Database vCPU
OCPU per hour
Exadata Cloud@Customer - Autonomous Transaction Processing - Database vCPU - BYOL
OCPU per hour
Exadata Cloud@Customer - Autonomous Data Warehouse - Database vCPU
OCPU per hour
Exadata Cloud@Customer - Autonomous Data Warehouse - Database vCPU - BYOL
OCPU per hour
*To make it easier to compare pricing across cloud service providers, Oracle web pages show both vCPU (virtual CPUs) prices and OCPU (Oracle CPU) prices for products with compute-based pricing. The products themselves, provisioning in the portal, billing, etc. continue to use OCPU (Oracle CPU) units. OCPUs represent physical CPU cores. Most CPU architectures, including x86, execute two threads per physical core, so 1 OCPU is the equivalent of 2 vCPUs for x86-based compute. The per-hour OCPU rate customers are billed at is therefore twice the vCPU price since they receive two vCPUs of compute power for each OCPU, unless it’s a sub-core instance such as preemptible instances. Additional details supporting the difference between OCPU vs. vCPU can be accessed here.
For Bring Your Own License (BYOL) requirements including eligible Oracle on-premises software licenses and conversion rates (i.e., ratio requirement of software license metric to cloud equivalent metric), see the Oracle PaaS and IaaS Universal Credits Service Descriptions document.
Global Industry Analyst Perspectives on Multi-VM Autonomous Database on Exadata Cloud@Customer
Robert Green, vice president of product management, Oracle
"Oracle's Exadata Cloud@Customer is the world's simplest path for customers to realize cloud benefits for database: self-service API agility, pay-per-use financial model, high availability, security, and standardization that reduces business risk."Read the complete post
Core information on the configuration and management of your Exadata Cloud@Customer deployment and other Oracle Cloud Infrastructure capabilities enable you to get the most out of your resources.
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