Oracle Exadata Database Machine

Extreme scale, performance, and value

The latest Oracle Database software

Create differentiated applications and add new capabilities to existing ones using more than 300 innovations in the latest Oracle Database 23ai release. Exadata Database Machine runs Oracle Database 19c and Oracle Database 23ai at the same time, enabling organizations to run existing database workloads faster while creating new applications with AI Vector Search, JSON Relational Duality, property graph views, and more.

High performance architecture

Exadata Database Machine X11M is based on a unique, scale-out architecture that integrates the latest AMD EPYC processors in database servers and intelligent storage servers to provide higher per-core performance than previous-generation platforms. Intelligent storage servers offload SQL and AI Vector Search processing from database servers to enable higher throughput for analytics and vector processing. Meanwhile, Exadata RDMA Memory (XRMEM) helps reduce OLTP SQL read latency to as low as 14 microseconds.

Fast transaction processing

OLTP applications run faster with Exadata’s scale-out architecture. Exadata Database Machine X11M lets more transactions be processed in parallel with I/O latency as low as 14 microseconds and 25% faster database server cores than the previous-generation platform.

Accelerated AI, ML, and analytics

Organizations run high performance semantic searches at scale with AI Vector Search in Oracle Database 23ai, accelerating index generation and vector distance calculation functions by offloading them to smart storage servers using Exadata Database Software 25.1. Analytics and in-database machine learning also run faster by offloading SQL queries to the smart storage servers where the data resides. Starting configurations with two database servers and three storage servers provide 300 GB/sec of analytic scan throughput from flash and 1,500 GB analytic scan throughput from XRMEM, as well as enabling 1.9 PB data warehouses with Oracle Database Hybrid Columnar Compression (HCC).

Greater database consolidation

Exadata X11M's extreme performance enables organizations to run more workloads on less hardware, thereby improving power efficiency, helping lower costs, and meet sustainability goals. By reducing the number of database and storage servers needed to support an organization’s fleet of Oracle databases and allowing many of those databases to be managed together, Exadata X11M enables greater performance efficiency, utilization efficiency, power efficiency, and administration efficiency—all of which help reduce costs. Starting configurations with two database servers and three storage servers and can be expanded by adding individual servers to additional racks to meet the consolidated database needs of virtually any organization.

Intelligent power efficiency

Exadata X11M's extreme performance enables organizations to run more workloads on less hardware, improving power efficiency to help lower costs and meet sustainability goals. As well as requiring less power via database consolidation, Exadata X11M lets customers intelligently turn off unneeded CPU cores, cap database server power consumption, and optimize power consumption during periods of low usage.

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Scalability

Scale-out architecture enables easy growth

Exadata Database Machine X11M configurations start with two database servers and three storage servers. Customers can select database and storage servers with different numbers of CPU cores and different sizes and types of storage to match their configuration to their business needs. They can also add incremental database and storage servers at any time to support initial needs and increasing requirements.

Scalable database processing runs demanding workloads

Customers can license Oracle Database on just a few CPU cores on Exadata Database Machine X11M or scale up consumption to thousands of cores to meet the needs of demanding workloads. Consolidating databases on fewer systems and managing them together reduces database infrastructure and management complexity by letting more resources be managed as a single unit.

Scalable storage for large databases and data warehouses

Each Exadata Database Machine X11M High Capacity storage server includes 264 TB of raw capacity configured for database usage in triple redundancy for the maximum data protection. A single-rack system can support up to 1.1 PB of usable capacity with triple redundancy and provide 8,500 GB/second of analytic throughput from XRMEM. The ability to scale an Exadata X11M system with additional racks of compute and storage helps meet the database storage and analytics needs of large organizations.

All-flash storage scaling accelerates latency-sensitive workloads

All-flash Exadata X11M Extreme Flash storage servers provide up to 630 TB of usable, triple-mirrored storage capacity in a single rack. Using the latest, fastest flash, Extreme Flash storage servers reduce flash read latency by up to 43%, making these servers the obvious choice for the most latency-sensitive workloads. In addition, the Extreme Flash storage servers increase Exadata Smart Flash Cache capacity to 27.2 TB, further accelerating Exadata Smart Software features.

Scalability improves database consolidation

Exadata Database Machine X11M provides high compute and storage density, letting organizations consolidate their Oracle Database workloads onto smaller configurations that cost less and use less data center space.

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High availability

No single point of failure increases uptime

Exadata provides unsurpassed uptime for running Oracle Database on-premises by implementing many of Oracle's Maximum Availability Architecture recommendations and proven best practices out of the box.

Storage mirroring increases data availability

Oracle Automatic Storage Management mirrors permanent data storage across two or three storage servers to maximize the performance and availability of customer databases.

Oracle Real Application Clusters (RAC) increases availability

Oracle RAC transparently scales Oracle Database instances across multiple servers to enable higher performance and protect against database server failures.

Proactive fault management reduces failures

Automatic fault detection helps identify potential problems with customer database infrastructure and mitigate them before they affect operations.

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Strong security

Full-stack updates simplify security

Monthly releases of pretested updates for Exadata hardware, software, and firmware let customers quickly address security issues for all their Exadata systems.

Consolidation reduces attack points

Exadata consolidates customer databases and infrastructure into fewer externally accessible components, reducing the available surface area that hackers could potentially attack.

End-to-end encryption protects privacy

Oracle Advanced Security fully encrypts customer databases while they are at rest, in motion, and protected in backups so that unauthorized access doesn’t reveal information.

Least-privileged administration limits access

Role-based administration restricts IT team members’ access to the Exadata database stack, limiting them to the minimum information required to complete their tasks.

Rapid point-in-time recovery reduces data loss

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.

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Automated management

Automatic indexing optimizes performance

Machine learning–driven management of Oracle Database indexes quickly adapts to changing workloads so crucial customer workloads run faster and require less manual tuning by DBA teams.

I/O Resource Management increases consistency

Automated allocation of I/O resources to individual Oracle Database instances based on database type, I/O operation, and end user lets diverse customer databases running in a consolidated environment achieve fast, predictable performance.

Automated monitoring simplifies performance management

Exadata automatically detects CPU, memory, and network issues affecting the performance of customer databases. ML algorithms are then used to determine the root causes of problems, enabling IT teams to operate more efficiently.

Storage fault management minimizes the impact of failures

Automated storage failure detection and rebalancing enable quick restoration of peak performance for customer databases.

Unsurpassed value

Storage servers increase system performance

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.

Query offload reduces database licensing costs

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.

Converged databases simplify deployments

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.

Database clouds improve consolidation efficiency

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.

Capacity on demand (CoD) lowers costs

Exadata's CoD licensing enables customers to reduce initial costs by starting with fewer Oracle Database licenses, then increasing the number of enabled licenses to closely align costs with workload demands.

Cloud integration accelerates digital transformations

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.

Software highlights

Oracle AI Vector Search

Organizations can now run Oracle Database 23ai and take full advantage of Exadata’s scale out architecture in OCI, with Exadata Database Machine on-premises. Customers can maximize throughput and availability with SQL offload to storage servers that supports crucial AI Vector Search functionality with Exadata System Software 24ai.

JSON Relational Duality

Developers can simplify application development, while delivering highly differentiated performance and security with new converged database capabilities that unify JSON and Graph data structures with the relational model and Oracle 23ai advanced features.

Oracle Multitenant improves consolidation efficiency

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 accelerates analytics

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 increases insights

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 for specialized systems.

Real-time remote replication increases resiliency

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.