Oracle Exadata Database Machine is an integrated, full-stack platform for use in enterprise data centers. It’s coengineered with Oracle Database to run all types and sizes of database workloads fast and with high availability. With Exadata Database Machine, organizations can improve customer experiences and business insights with fast transaction processing, analytics, AI vector processing, and in-database machine learning (ML)—all while operating efficiently as a private database cloud.
Join Kothanda Umamageswaran and Bob Thome to learn how the newest Oracle Exadata system delivers extreme performance and efficiency for AI, OLTP, and analytics workloads—wherever needed.
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.
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.
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.
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).
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.
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.
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 consolidate 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 to achieve a greater return on investment.
Eliminate unplanned downtime and increase the performance of company applications during peak-season demand.
Accelerate online sales, inventory management, and financial management applications with up to 10X greater database performance.
Ashish Ray, Vice President, Exadata Product Management
We are thrilled to announce the immediate availability of our next-generation Oracle Exadata X11M, providing the choice and flexibility to deploy everywhere customers need–on-premises, Cloud@Customer, Oracle Cloud, and multicloud. Exadata is used by thousands of organizations, including the majority of the world’s largest financial, telecom, and retail businesses, to run their most critical and demanding Oracle Database workloads. The 13th generation of Exadata builds on decades of engineering excellence to power mission-critical AI, analytics, and OLTP workloads globally.
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