Oracle Exadata X9M is the best place to run Oracle Database workloads in customer data centers. A persistent-memory (PMEM)-enhanced scalable architecture with smart system software eliminates performance bottlenecks in crucial customer transaction processing and analytics workloads. Organizations eliminate data center complexity by consolidating Oracle databases on less infrastructure, reducing DBA workloads and lowering total cost of ownership (TCO).
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Oracle Database’s converged database capabilities and Exadata X9M’s acceleration of diverse database workloads enable customers to create on-premises database clouds that maximize consolidation efficiency.
Exadata X9M's exclusive capabilities, with the introduction of PCIe 4.0 dual-port active-active 100 Gb RoCE networking, along with the Persistent Memory Data Accelerator developed with Oracle Database, accelerate diverse customer workloads, with up to 27.6 million SQL read IOPS, more than 1 TB/second of SQL throughput, and SQL read latency under 19 microseconds.
Built-in automation of Oracle best practices for resource management, system tuning, and full-stack patching delivers fast, predictable results for important customer databases. As a result, IT departments achieve up to 59% lower operational support costs.
Exadata X9M’s fault-tolerant design and optional resiliency software allow organizations to achieve “five-nines” availability (PDF) for business-critical databases when deployed as part of an Oracle Maximum Availability Architecture (MAA) solution.
Exadata X9M’s full-stack design eliminates integration costs and reduces customer TCO.
Application-transparent use of PMEM in Exadata X9M storage servers accelerates crucial customer transactional Oracle Database workloads with 19 microsecond read latencies, ultra-fast log writes, and up to 27.6 million read SQL IOPS per rack.
High-throughput RDMA over Converged Ethernet (RoCE) internal networking reduces system latencies so customers can rapidly process data with up to 1 TB/s throughput from all-flash storage.
Exadata X9M offloads SQL queries, in-memory analytics, and machine learning algorithms from database servers to up to 19 intelligent storage servers per rack to accelerate diverse customer workloads.
IO Resource Manager automatically optimizes resource allocations and prioritizes IOs to deliver consistently fast results for all types of customer database workloads in consolidated environments.
Up to 920 TB of NVMe flash cache per rack gives customers the performance of flash storage with the capacity and cost of disk storage by eliminating up to 95% of all disk IOs.
Exadata X9M’s scalable design lets customers size initial deployments to meet current needs and add incremental database and storage servers to support new or increasing requirements.
Database processing power scaled from as few as 16 licensed CPU cores to more than 14,500 cores, so customers can meet the needs of demanding workloads and reduce IT complexity by consolidating Oracle Database infrastructure.
Exadata X9M’s storage capacity scales by up to 150X, from 122 TB of usable uncompressed disk storage capacity to over 18 PB. Customers can create multi-petabyte data warehouses that efficiently run analytics and machine-learning algorithms in intelligent storage servers.
All-flash capacity in intelligent Exadata storage servers scales by more than 77X, from 56TB to over 4.3 PB of usable uncompressed capacity, so customers can increase the data intensity of latency-sensitive transactional workloads and support more end users.
Consolidating diverse workloads with Oracle Multitenant on Exadata X9M enables organizations to reduce IT workloads because there are fewer databases and stand-alone systems to manage.
Exadata’s fully redundant, fault-tolerant design reduces unplanned downtime compared to DIY solutions, as described in DSC’s analysis (PDF), so customers can continue 24/7 operations across failures.
Latency-sensitive data written to persistent memory in Exadata X9M is automatically mirrored on multiple storage servers so crucial database log writes for customer databases are always protected.
Oracle Automatic Storage Management mirrors permanent data storage across two or three storage servers to maximize the performance and availability of customer databases.
Oracle RAC transparently scales crucial customer Oracle Database instances across multiple servers to enable higher performance and protect against database server failures.
AI-based fault detection helps identify potential problems with customer database infrastructure and mitigate them before they impact operations.
Monthly deployment of pretested updates for Exadata hardware, software, and firmware enable customers to quickly address security issues for all their Exadata systems. IT teams reduce maintenance work by up to 8700% compared to do-it-yourself, multi-vendor database platforms, according to DSC’s analysis (PDF).
Exadata consolidates customer databases and infrastructure into fewer externally accessible components, reducing the available surface area that hackers can potentially attack.
Oracle Advanced Security fully encrypts customer databases while they are at rest, in motion, and protected in backups, so unauthorized access does not reveal information.
Role-based administration restricts IT team members’ access to the Exadata database stack, limiting them to the minimum information required to complete their tasks.
Continuous protection of customer Oracle Database instances with Oracle’s Zero Data Loss Recovery Appliance enables rapid recovery to less than one second before an outage or cyberattack.
Machine learning (ML) driven updating of Oracle Database indexes quickly adapts to changing workloads so crucial customer workloads run faster and require less manual tuning by DBA teams.
Automated allocation of IO resources to individual Oracle Database instances based on database type, IO operation, and end user enables diverse customer databases running in a consolidated environment to achieve fast, predictable performance.
Exadata automatically detects CPU, memory, and network issues impacting the performance of customer databases. ML algorithms are then used to determine the root causes of problems, enabling IT teams to operate more efficiently.
Automated storage failure detection and rebalancing enables peak performance to be quickly restored for customer databases.
Offloading database operations to storage servers enables more CPU cores to work on crucial customer database queries while freeing database servers to handle more OLTP users and complex queries.
Customers reduce the number of Oracle Database licenses they need for consolidated workloads, as each licensed core on Exadata database servers completes more work per unit of time and storage server CPUs do not require database licenses.
Exadata’s acceleration of converged Oracle Database capabilities eliminates customer requirements to deploy specialized databases. Multiple database models run within Oracle Database with high Exadata performance, availability, and consistent security.
High overall Exadata performance, scale, and management automation allow customers to achieve dramatic consolidation of Oracle Database instances to reduce resource over-provisioning, system counts, and TCO.
Exadata's CoD licensing enables customers to reduce initial costs by starting with as few as 16 Oracle Database licenses on eighth-rack systems or 28 licenses on quarter-rack systems. Customers can increase the number of licenses enabled to closely align costs with workload demands.
The same Oracle Exadata capabilities are available on-premises, in Oracle Cloud Infrastructure, and as Cloud@Customer solutions. Customers can lift-and-shift crucial workloads to cost-effective cloud environments with minimum effort.
Oracle Multitenant enables customers to simplify database management and lower costs by consolidating up to 4,096 pluggable databases per container database on Exadata, 16X more than on other systems.
Oracle Database In-Memory on Exadata simultaneously creates optimized row and column database formats within a single database instance. Dual database formats allow customers to quickly perform real-time analytics on production OLTP databases.
Oracle Machine Learning on Exadata enables customers to improve data-driven insights by easily adding machine learning capabilities to existing database applications. Customers can rapidly build and test ML models by eliminating data exports and transformations required to utilized specialized systems.
Unique Oracle Database compression algorithms reduce typical storage requirements and load times for data warehouses by more than 90% (PDF).
Oracle Active Data Guard lets customers create hot-standby databases that provide business continuity across system failures. The addition of Far Sync extends this capability to remote data centers so organizations can continue operations during complete outages or disasters at their primary data centers.
Customers achieve high Oracle Database performance with an entry-level Exadata system that delivers up to 2.8 M Read IOPS. The system includes 64 CPU cores, 38TB of flash cache, and up to 96 TB of HDD usable storage capacity inclusive of 3-way storage mirroring.
Customers can deploy midrange to high-end Exadata X9M solutions with Oracle’s flexible configuration option to meet company-specific requirements. Start with 128 CPU cores, 4.5 TB of PMEM, and either 44 TB of all-flash or 192 TB of usable HDD storage capacity inclusive of 3-way storage mirroring. Add additional database servers, storage servers, or additional racks as needed.
Customers address requirements for large shared-memory databases with two or three 192-core database servers with up to 6 TB of memory each and up to 14 storage servers per rack.
High-capacity storage servers without PMEM or flash acceleration enable IT teams to build low-cost, scale-out storage for infrequently used data. Ovum reports (PDF) the XT storage has costs similar to that of Hadoop clusters and eliminates the need to secure separate analytics environments or copy data between them.
Large enterprises can scale X9M configurations linearly in performance and capacity with up to 12 system and storage expansion racks to meet enterprise-wide database consolidation needs.
Customers can upgrade existing Exadata X8M systems with additional X9M database servers and intelligent storage servers to economically meet increasing performance and capacity requirements. Infiniband based X8 systems can be upgraded with additional X8 database storage servers.
Thousands of global customers in all industries run business-critical Oracle Database instances on Oracle Exadata, accelerating crucial applications, generating new insights, and reducing TCO.
Migrate Oracle databases from other platforms and consolidated them on Oracle Exadata to respond faster to demand, increase performance, and cut costs by 50%.
Consolidate core banking transactional and analytical workloads on Exadata for improved data processing performance of 300%.
Eliminate unplanned downtime and increase the performance of company applications during peak season demand.
Reduce data center footprint, operate more efficiently, and reduce costs by running hundreds of Oracle Database instances per Oracle Exadata X8M.
Accelerate online sales, inventory management, and financial management applications with up to 10X greater database performance.
Increase competitive advantages by deploying high-performance, data-intensive applications for machine learning, IoT, fraud detection, and other emerging technologies.
Brian Gruttadauria, Senior Director, Product Marketing
Oracle is proud to announce that customers may now deploy Oracle databases for SAP Business Suite based on SAP NetWeaver 7.x technology platform on Oracle Exadata Database Machine X9M and Oracle Exadata Cloud@Customer X9M in their data centers.Read the complete post
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