Exadata Exascale
Exadata Exascale is a new intelligent data architecture that delivers the best of Exadata and the best of Cloud. Combining the performance, availability, scalability, and security of Exadata, with hyper-elasticity, multi-tenancy, and resource pooling, Exascale is the next-generation software and Exadata Cloud architecture powering extreme performance for AI, analytics, and mission-critical workloads at any scale.
Exadata Exascale - The World's Only Intelligent Data Architecture for Cloud
Benefits of Exascale
Unique and Intelligent Data Architecture
Intelligent communication between servers enables high-performance database scaling across the Exascale Virtual Machine clusters, and intelligent, low-latency OLTP I/O quickly completes mission-critical transactions and supports more concurrent users. Exadata Exascale delivers more throughput and lower latency than other database cloud services.
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Unique data intelligence automatically offloads data-intensive SQL queries to the storage servers, enabling extreme throughput scaling for analytics. Automatic columnarization converts data into an ultra-fast in-memory columnar format that automatically uses flash cache to increase capability and performance.
Exascale uses AI Smart Scan, a unique way to offload data and compute-intensive AI Vector Search operations. AI Smart Scan and Exadata System Software 24ai run key vector search operations up to 30x faster, enabling customers to run thousands of concurrent AI vector searches in multi-user environments.
Users can instantly create full copies or thin clones using Exascale. Advanced snapshot capabilities make creating space-efficient clones of pluggable or container databases easy using read-write sources. These development, test, or recovery copies are immediately available and have the same native Exadata performance and scale as the source databases.
Exascale Architecture
Open all Close allLoosely-coupled, Direct I/O, RDMA-enabled, Intelligent Resource Pools
Exascale changes the way compute and storage resources are provisioned and consumed in Exadata. Moving storage management out of database servers and into storage servers enables Exadata to adopt a loosely-coupled architecture, where traditionally siloed resource management – compute, memory, and storage capacity – are no longer rigidly defined or restricted.
This new software architecture for Exadata uses the hardware-based RDMA and Smart SQL Offload capabilities of Exadata and applies cloud characteristics to deliver both the extreme performance of Exadata and the hyper|cloud-scale, multi-tenant resource pooling.
Exadata and Exascale's direct I/O architecture removes the need for intermediate storage management tiers common in traditional on-premises and cloud storage offerings.
Oracle Database 23ai sends intelligent data requests – RDMA for OLTP and Smart Scan for AI and Analytics – directly to pooled Exascale storage servers, taking advantage of Exadata's extremely low microsecond read latency, millions of read IOPS, and extraordinary scan throughput.
Exascale creates compute and storage resouce pools that can be quickly and easily allocatd to meet the needs of any size workload.
Hyperscale Storage Management
Exascale file and extent management is built into Exadata System Software 24ai, and is self-managed and automated. Coupled with Oracle Database 23ai, Exascale frees database servers from managing database files and extents, releasing CPU and memory that can be used for database processing.
Databases files on Exascale are spread across all of the storage servers within a storage pool, enabling databases from multiple virtual machine clusters to take full advantage of an Exadata system, without having to carve out individual disk groups, all while maintaining fine-grained access control.
Intelligent RDMA-enabled Block Volumes
Exascale introduces unique RDMA-enabled Block Volumes (Exascale Volumes) to Exadata. Exascale Volumes are used by Virtual Machines (VMs) in place of using local storage in the database servers. Moving the VM volumes to shared, high-performance storage creates new opportunities for performance, scale, and functionality never before seen in Exadata.
A VM running on Exadata can now take advantage of the collective performance of the the dozens or hundreds of pooled disk drives in the storage servers, rather than the two or four drives in the individual database server on which it runs. Before Exascale, the limiting factor for the number of VMs that could run on database server was almost always the storage space available on the local disk drives. Eliminating this bottleneck enables users to scale the number of VM clusters by over four times, boosting the maximum number of VMs per database server from 12 to 50 on a quarter rack or larger X10M.
Database Aware Intelligent Cloning
Exascale reimagines database snaphots and cloning on Exadata, removing all upstream dependencies with new redirect-on-write technology.
Exascale can instantly create database (or PDB) clones for development or testing. Clones can be either a full copy or a thin clone, and can be created from a live database or an existing database snapshot. Clones on Exascale have no upstream dependencies, such as a read-only test master – and use shared data blocks and redirect-on-write technology for extreme space-efficiency. This drastically reduces storage capacity needs for cloning, and provides every database and clone native Exadata performance, regardless of the use case.
