Oracle Exadata Cloud@Customer brings the performance, automation, and economics of Exadata Database Service and the fully managed Autonomous Database into enterprise data centers. It’s the simplest way for customers to start using cloud database resources in their data centers and help meet strict data residency requirements. Exadata Cloud@Customer incorporates unique optimizations that let Oracle Database workloads run faster with less management and lower costs so organizations can get more value from their data.
Exadata—The innovation continues: Extreme scale, performance, and value (24:20)
New AI vector similarity search in Oracle Database 23c allows the combination of search in semantic and business data to provide highly accurate answers quickly and securely.
Oracle Data Platform lets organizations reduce integration complexity and costs while improving data insights.
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.
Exadata Cloud@Customer X10M brings the cloud automation and consumption pricing of Exadata Database Service and the fully managed Autonomous Database in Oracle Cloud Infrastructure (OCI) to an organization’s data centers. Owned and remotely operated by Oracle, it lets organizations easily start using cloud resources for crucial applications, connect to current on-premises systems and data sources, and meet data residency requirements.
Exadata Cloud@Customer X10M is based on a unique scale-out architecture that integrates fourth-generation AMD EPYC processors in database servers and intelligent storage servers to provide more processing cores and higher per-core performance than previous generation platforms. Intelligent storage servers offload SQL processing from database servers to enable faster SQL I/O while Exadata RDMA Memory reduces SQL read I/O latency to less than 17 microseconds.
OLTP applications run faster with Exadata’s unique, RDMA-enabled scale-out architecture. Storage servers automatically cache the most frequently used data in the extremely low latency Exadata RDMA Memory Data Accelerator and large, ultrafast NVMe flash cache to boost overall system performance. Exadata Cloud@Customer X10M starts with 380 available processor cores, 5.6M SQL low-latency read I/O operations per second, and nearly 2 TB/sec of memory bandwidth in quarter-rack configurations that can be expanded to meet the transaction processing needs of virtually any organization.
Analytics and in-database machine learning (ML) workloads run faster by eliminating I/O operations and offloading analytic SQL queries and ML algorithms to storage servers. Extreme analytics throughput, parallel processing across all storage servers, and unique compression algorithms accelerate data warehousing workloads of any size. Exadata Cloud@Customer X10M starts with 135 GB/sec of scan throughput, 190 TB of uncompressed database capacity, and the ability to hold up to 1.9 PB of data warehouses using Oracle Hybrid Columnar Compression in a quarter rack. Its scale-out architecture lets you use up to 2,880 GB/sec of scan throughput, 4 PB of uncompressed databases, and 40 PB of Hybrid Columnar Compression compressed data warehouse capacity for data-intensive workloads.
Database servers provide 190 usable processor cores and up to 2,800 GB of memory. Storage servers provide 64 processor cores and 80 TB of usable storage. Database and storage resources can be scaled independently by adding individual servers, up to a total of 16 servers in the initial rack and up to 32 database servers and 64 storage servers across multiple racks. Optimizations to the entire software stack ensure that database performance scales linearly when running on the Exadata X10M servers with a high core count and large memory capacity.
Customers can consolidate even more databases in a single Exadata Cloud@Customer X10M than with the previous generation platform, providing greater management efficiency and lowering costs. Organizations can concurrently run the automated Exadata Database Service and fully managed Autonomous Database on the same Exadata Cloud@Customer infrastructure, letting them efficiently consolidate all types of workloads.
Business-critical OLTP applications run faster with Exadata’s unique scale-out architecture. A starter system provides 190 processor cores and 2 TB/sec of memory bandwidth in database servers, 17 microsecond SQL read IO latency, and 16x compute scalability to meet the needs of virtually any organization.
Organizations run analytics and in-database machine learning applications faster by processing low-level SQL queries, analytics, and machine learning (ML) algorithms in intelligent storage servers. A starter system provides 192 processing cores for SQL processing in storage servers, 135 GB/sec of scan analytics throughput, and storage for 192TB of uncompressed databases or 1.9PB of compressed data warehouses – with 21x additional storage scalability.
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. Configure multiple clusters on a single system and manage them separately to support diverse workload and organizational needs.
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.
Autonomous Database helps customers reduce costs by only charging for actual consumption, instead of anticipated consumption. Online compute scaling based on workloads’ immediate needs helps increase performance during spikes in demand and lower costs when there’s less demand.
Developers are more productive with a self-service database cloud that lets them quickly provision their own databases whenever needed.
Protect crucial customer databases from downtime due to failures, maintenance, user errors, and cyberattacks with automatic application of the latest software updates and security patches.
By automating everything, including performance monitoring and data protection, Autonomous Database enables scarce IT resources to focus on innovation and business requirements instead of manual operations.
Organizations can optimize support for multiple workloads by using separate VM clusters on the same service for different workloads and different database lifecycle stages. Development, staging, and production VM clusters can have different configurations, access rules, quotas, and licensing (Oracle Bring Your Own License or license included) to optimize performance and cost.
Organizations can use Autonomous Database and Exadata Database Service with virtually any type of data, any workload, and any development style. By standardizing on a single database, they can eliminate data silos and the management and security fragmentation caused by multiple, single-purpose databases.
Developers can create modern applications with any type of data, for any workload, and with their choice of development models. Applications automatically benefit from high performance, consistent security models, and mission-critical capabilities so developers can focus more on innovation and less on integration. Built-in tools, such as the Oracle APEX low-code development environment, further increase developer productivity and shorten development lifecycles.
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 Exadata Cloud@Customer.
Organizations simplify moving to the cloud with the ability to use multiple Oracle Database versions—all on the same Exadata Cloud@Customer.
Organizations can easily add ML capabilities to Oracle Database applications by eliminating the data extraction, reformatting, and movement required by standalone ML services. In-database ML algorithms are accelerated with high throughput intelligent storage servers.
Autonomous Database and Exadata Database Service use Oracle RAC to enable online performance scaling and high availability for mission-critical database workloads. Configure multiple VM clusters on a single system and manage them separately to support diverse workload and organizational needs.
OCI helps protect crucial Oracle databases with multiple levels of security to identify and respond to threats in real time. Exadata Cloud@Customer includes the Oracle Data Safe database security console at no extra charge, letting customers monitor and manage their Oracle Database security posture across their database fleet.
Exadata Cloud@Customer lets Exadata Database Service and Autonomous Database run on multiple isolated VM clusters with separate network configurations to improve security postures 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.
Oracle Operator Access Control increases security by letting organizations fully supervise what Exadata Cloud@Customer resources that Oracle Cloud operators can access and what actions they can take during remote management sessions.
Oracle creates full-stack patch sets for Exadata Cloud@Customer and coordinates their rapid deployment with enterprises’ IT teams to reduce threats and risks without interrupting business.
Oracle Maximum Availability Architecture best practices for protecting Oracle databases against outages and data loss are easily accessible on Exadata Cloud@Customer from the OCI console and are built into Autonomous Database.
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.
For large-scale database deployments, Exadata Fleet Update automates maintenance operations by grouping databases and grid infrastructures in a single maintenance schedule and cycle.
Consolidating databases on Exadata Cloud@Customer and automatically scaling consumption with Autonomous Database lets organizations run their database fleets on 65% to 75% less infrastructure and costs than other hybrid cloud database services.
Organizations only pay for the CPU cores that database services consume using online scaling of Exadata Database Service consumption and fully automatic scaling with Autonomous Database. CPU core scaling is performed online to enable continuous operations.
Autonomous Database on Exadata Cloud@Customer lets organizations create persistent databases with zero consumption costs at the time of creation or when consumption is set to zero.
Exadata Cloud@Customer X10M provides high compute and storage density, letting organizations consolidate their Oracle Database workloads onto smaller configurations that cost less and use less power and data center space.
Consolidating databases onto Exadata Cloud@Customer with Oracle managed infrastructure improves management efficiency and infrastructure utilization. Automating database management with Autonomous Database reduces database administration, freeing up resources to accelerate innovation.
Autonomous Database and Exadata Database Service concurrently run in isolated VM clusters on the same Exadata Cloud@Customer infrastructure, making it easy for customers to use a fully autonomous database service with no up-front costs.
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.
An organization’s crucial transactional applications run faster because database servers directly access Exadata RDMA Memory in shared storage servers with no operating system or networking overhead, reducing read latencies to less than 17 microseconds.
Built-in I/O resource management and ML-based automated indexing and tuning of databases let them run at peak speed without DBA management.
Multiple VM clusters for Exadata Database Service and Autonomous Database can be created with customized mixtures of compute and storage resources to support different workloads and operational isolation requirements for crucial workloads.
Users securely provision and manage databases through a secure connection to the OCI 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
“Continuously patching our multiple databases and related environments had become a nightmare for me and my technical staff. We were working long hours and over weekends. With Oracle Exadata Cloud@Customer, all that is now handled by OCI. Work-life balance has been reestablished, and my team and I are much happier.”
System Infrastructure Director, Fibabanka
“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
“For a massive IT transformation, you need the best partner, which is why we selected Oracle Exadata Cloud@Customer as the strongest platform and support for our long-term healthcare strategy.”
Superintendent of Technology and Digital Systems, Hcor
“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 OCI management and Autonomous Database while meeting data residency and connectivity requirements that aren’t possible in public cloud data centers.
Run time-sensitive database workloads, 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
Exadata Cloud@Customer - Quarter Rack - X10M
Exadata Cloud@Customer - Quarter Rack - X10M-XL
Exadata Cloud@Customer - Database Server - X10M
Exadata Cloud@Customer - Database Server - X10M-XL
Exadata Cloud@Customer - Storage Server - X10M
Exadata Cloud@Customer - Expansion Rack - X10M
Comparison Price ( /vCPU)*
Oracle Database Exadata Cloud–Database
OCPU per hour
Oracle Autonomous Transaction Processing–Exadata Cloud@Customer–ECPU
ECPU per hour
Oracle Autonomous Data Warehouse–Exadata Cloud@Customer–ECPU
ECPU per hour
Comparison Price ( /vCPU)*
Oracle Database Exadata Cloud–Database–BYOL
OCPU per hour
Oracle Autonomous Transaction Processing–Exadata Cloud@Customer–ECPU–BYOL
ECPU per hour
Oracle Autonomous Data Warehouse–Exadata Cloud@Customer–ECPU–BYOL
ECPU per hour
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.
*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.
Bob Thome, Vice President of Product Management for Exadata Cloud@Customer
To achieve breakthrough performance, we implemented major optimizations to the entire software stack to ensure that database performance scales linearly when running on the new Exadata X10M servers with a high core count and large memory capacity. Exadata RDMA algorithms have been enhanced to use the memory management unit with much higher performance, and in-memory columnar algorithms have been optimized so they run even faster using AMD's AVX-512 instructions.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.