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.”
您的使用者、開發人員和 IT 員工可以透過自助服務和高效能的 Oracle Database Cloud 進行有效率的操作,而無需進行基礎架構管理。
您的資料庫會被保護在資料中心防火牆之後,以滿足資料主權、安全性和治理要求。
Oracle 專家使用機器學習技術來管理資料中心中的 Exadata Cloud@Customer,您可選擇要管理自己的資料庫,還是讓 Oracle 透過 Autonomous Database 為您管理。
與 AWS Outposts 上的 Amazon Relational Database Service (RDS) 相比,您的 Database Cloud 會使用 60 多種獨特的 Oracle Database 功能,SQL 讀取 IOPS 的次數最多提高 12 倍,SQL 輸送量提高 10 倍,而且 SQL 延遲降低 98%,執行速度更快,整合率更高。
Exadata Cloud@Customer 可以透過即時擴展和縮減資源以實現隨需付費的真實定價,從而降低您的系統管理成本,並且 Autonomous Database 可以最佳化耗用成本。
透過由 Oracle Cloud 專家管理和修補的完整堆疊整合解決方案,您可以更輕鬆地執行具有最佳效能、效率和擴展性的 Oracle Database。
您至關重要的 OLTP 和分析應用程式執行速度更快,因為 SQL 查詢和 Oracle Machine Learning 分析會卸載多達 12 部智慧儲存伺服器,這些伺服器都具有持續性記憶體 IO 加速功能。
透過在 AWS Outposts 上使用 Oracle Multitenant,以及比 RDS 大 7 倍的資料庫來合併更多的資料庫,並使用融合的 Oracle Database 功能組合不同類型的資料庫,以降低您企業內部的 IT 複雜性。
內建的容錯能力以及用於內部部署和遠端災害復原的選項,使您能夠為至關重要的 Oracle Database 實現更高的可用性。
根據應用程式的即時工作負載要求,自動增加和減少資源耗用,而不會中斷資料庫操作。
不斷分析和微調 Oracle Database 的執行情況以最佳化資料庫效能,適應隨時間變化的應用程式開發、生產交易處理和資料倉儲工作負載。
您的開發團隊可以利用自助 Database Cloud 提高生產力,該雲端可以在幾秒鐘內配置新的資料倉庫和開發資料庫。
透過自動應用最新的軟體更新和安全修補程式,保護資料庫免受因故障、維護、使用者錯誤和網路攻擊而導致的停機時間。
Autonomous Database 僅會根據您實際的 OCPU 耗用量向您收取費用,可協助您將資料庫成本降低多達 90%。
您可以在 Oracle Database 中使用多個資料庫模型來建立創新的應用程式,而不會因多個單一用途的資料庫造成管理和安全性零散。
您的 IT 團隊可以更有效率地運作,因為他們可以使用 Oracle Multitenant 一次管理多達 4,096 個資料庫,而不是管理單個系統或資料庫執行個體。
透過在單一系統上使用多個 Oracle Database 版本合併資料庫或執行 Autonomous Database 來簡化數位轉型。
您的開發人員可以透過快速佈建完整規模的資料庫來存取高效能的自助資料庫,進而省去等待時間。
您的開發人員可以輕鬆地將機器學習 (ML) 功能新增到資料庫應用程式中,並在不移動資料的情況下將建置 ML 模型的速度提高 10 倍。
Oracle Cloud 透過多層 ML 安全性來保護重要的 Oracle Database,以即時識別和應對威脅。
持續啟用的加密功能會保護您 Oracle Database 中的私有資料,其中的靜止、動態資料均會受到加密,並透過客戶擁有的加密金鑰加以備份。
Exadata Cloud@Customer 透過將所有資料庫資訊保留在資料中心,以協助您滿足資料駐留和安全性要求。
Oracle 建立完整的修補程式集,並與 IT 團隊協調其快速部署,以減少威脅和風險,而不會中斷您的業務。
使用實證有效的 Oracle Maximum Availability Architecture 最佳實務,最大程度地提高 Oracle Database 資料的可用性和保護。
利用 Exadata 的完整伺服器、儲存和網路備援,使重要的 Oracle Database 能夠在各種故障間全天候執行。
Exadata Cloud@Customer 上的 Autonomous Database 透過 AI,在使用者發現前即預先檢測並修復潛在問題,協助提高 Oracle Database 的可用性。
Oracle Exadata Cloud@Customer 使用 Oracle RAC 為您的 Oracle Database 啟用內部部署效能擴展和高可用性。
為了提供業務連續性和災害復原,Active Data Guard 會在您的資料中心或站外維護同步備用資料庫和 Oracle Database 複本。
Oracle Exadata Cloud@Customer 上的 OCPU 是由實體 CPU 核心而非其他服務上的虛擬核心進行啟用,這使每個資料庫授權的能力提高 2 倍。
與其他內部部署雲端資料庫產品相比,執行 Oracle Database 的成本最多降低 26%,因為將 SQL 查詢和其他操作卸載到儲存伺服器可以減少所需的計費資源量。
您可以選擇全配或自帶授權定價來最佳化創新和成本,並且可以在不中斷資料庫操作的情況下上下擴展耗用量。
使用 Exadata Cloud@Customer 最多可將管理資料庫基礎架構的成本降低 69%,而使用 Autonomous Database 可降低 80%或更多。
您的使用者透過加密的 Web 瀏覽器、命令列介面或 REST API 連線到 Oracle Cloud Infrastructure 控制面板來安全地配置和管理資料庫。
使用智慧儲存伺服器,您可以更快地執行資料密集型 SQL 查詢和分析,這些儲存伺服器可以減輕資料庫伺服器的處理負擔,並最大程度地減少資料傳輸的必要。
透過直接存取共享儲存伺服器中多達 18 TB 的永久性記憶體 (PMEM),您無需操作系統或支付網路開銷,交易處理應用程式的 SQL 延遲最多可減少 90%。
借助內建的 IO 資源管理以及 ML 型自動索引和 Autonomous Database 微調功能,您的資料庫可以持續快速執行。
將儲存和載入資料倉庫和資料庫檔案所需的儲存量減少多達 12 倍,是儲存型壓縮的四倍。
使用與 Oracle Zero Data Los Recovery Appliance 和 Database Backup Cloud Service 的雲端控制面板整合來保護資料庫。
啟用 0 到 48 個 OCPU,並具有 38 TB 的 NVMe 快閃快取,74 TB 的可用儲存空間和多達 150 萬個 SQL IOPS。
啟用 0 到 100 個 OCPU,其中包含 4.5 TB 的 PMEM,76 TB 的 NVMe 快閃快取,149 TB 的可用儲存空間以及多達 300 萬個 SQL IOPS。
使用 9 TB 的 PMEM,153 TB 的 NVMe 快閃快取,298 TB 的可用儲存空間以及多達 600 萬個 SQL IOPS,啟用 0 到 200 個 OCPU。
啟用 0 到 100 個 OCPU,其中包含 4.5 TB 的 PMEM,76 TB 的 NVMe 快閃快取,149 TB 的可用儲存空間以及多達 300 萬個 SQL IOPS。
通過融合乙太網路內部聯網的 100Gb/秒 RDMA 加速資料庫查詢,並利用多達 16 條 25 Gb/秒 乙太網路連線到應用程式伺服器和多雲端環境。
如果網路無法使用,兩個內部部署伺服器會啟用遠端 Oracle 基礎結構管理和內部部署操作。
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.
數以百計的客戶在其資料中心內的 Oracle Exadata Cloud@Customer 上執行其關鍵的 Oracle Database,獲得 Oracle Cloud Infrastructure 管理、訂閱定價和深度防禦安全性提供的助益。
使用 Oracle Cloud管理和 Autonomous Database 來簡化您的操作,同時滿足公共雲資料中心不可能達到的資料主權和連線性要求。
Oracle Cloud 專家和 Autonomous Database 透過多達 40:1 的混合工作負載資料庫整合和管理降低了內部部署 IT 環境的複雜性。
透過將您的 Oracle Database 快速移動到雲端中,並透過資料中心內快速且低延遲資料庫連線來加速數位轉型。
執行資料庫密集且有時效性的應用程式、初始化新的業務程序,並透過動態資源擴展來加速季度財務結算。
透過使用內建的 ML 功能和全面資料庫來開發和測試您的 Oracle Database 應用程式,從而提高創新能力,只需付費即可使用。
產品 |
每月價格 (美元) |
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第 2 代 Exadata Cloud at Customer Infrastructure - XM - 基本系統 |
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第 2 代 Exadata Cloud at Customer Infrastructure - X8M - 四分之一機架 |
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第 2 代 Exadata Cloud at Customer Infrastructure - X8M - 半機架 |
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第 2 代 Exadata Cloud at Customer Infrastructure - X8M - 全機架 |
產品 |
定價 |
計量 |
Oracle Database Exadata Cloud - 資料庫 OCPU |
每小時 OCPU |
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Oracle Database Exadata Cloud - 資料庫 OCPU - BYOL |
每小時 OCPU |
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Exadata Cloud at Customer - 自主交易處理 - 資料庫 OCPU |
每小時 OCPU |
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Exadata Cloud at Customer - 自主交易處理 - 資料庫 OCPU |
每小時 OCPU |
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Exadata Cloud at Customer - Autonomous Data Warehouse - 資料庫 OCPU |
每小時 OCPU |
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Exadata Cloud at Customer - Autonomous Data Warehouse - 資料庫 OCPU - BYOL |
每小時 OCPU |
「Exadata Cloud@Customer 上的 Autonomous Database 可透過自助服務和計量收費,以相同的軟硬體以及公共雲端和內部部署價格相同的方式,最簡單地轉型為 Database Cloud。」
閱讀完整文章透過 Exadata Cloud@Customer 部署的組態和管理,以及其他 Oracle Cloud Infrastructure 功能的核心資訊,您可以充分善用資源。