Exadata

Features

– Oracle Cloud Infrastructure automation allows customers to quickly provision databases and manage them throughout their lifecycle, increasing productivity.

– Database-transparent persistent memory (PMem) integration reduces SQL read latencies to as low as 19 microseconds, allowing applications to support more transactions with lower costs.

– Independent provisioning of database server and storage resources allows customers to increase efficiency and lower costs by using only the resources needed for current workloads.

– Scale-out support for 8 to 8,064 vCPUs with up to 44 TB of database server memory allows customers to consolidate more databases within a single service, increasing operational efficiency and lowering costs.

 

– Intelligent storage servers that offload SQL processing from database servers and deliver up to 2.88 TB/second of scan throughput allow customers to generate deeper data-driven insights with up to 3.1 PB of uncompressed databases and 31 PB of compressed data warehouses.

– Flexible subscription pricing with online scaling of vCPU consumption enables customers to tightly control costs and meet peak requirements without interrupting operations.

– Dedicated infrastructure increases workload isolation and security.

Features

– Secure deployment behind customers’ data center firewalls enables enterprises to meet data residency, security, and latency requirements

– Running Oracle Autonomous Database Service and Exadata Database Service concurrently on the same Cloud@Customer infrastructure allows customers to efficiently consolidate workloads in their data centers and develop new applications

– Infrastructure owned, managed, and maintained by Oracle allows customers to eliminate capital and management expenses, while running Autonomous Database Service eliminates most DBA manual management tasks

– Database-transparent PMem integration reduces SQL read latencies to as low as 19 microseconds, allowing applications to support more transactions with less infrastructure and lower costs

 

– Flexible storage scaling with up to 763 TB of capacity allows customers to cost-effectively support larger consolidated database workloads, including up to 6.1 PB of data warehouses with hybrid columnar compression

– High performance with up to 22.4 M SQL read IOPS and 540 GB/s of throughput for analytics and machine learning allows customers to accelerate IO-intensive databases while consolidating diverse database workloads

– Flexible subscription pricing with automatic up-and-down scaling of vCPU consumption enables customers to tightly control costs and meet peak requirements without interrupting operations

– Operator Access Control allows customer IT teams to address concerns about Oracle remote management by authorizing, limiting, monitoring, and controlling all remote infrastructure management by Oracle

Features

– A complete, integrated solution with built-in high availability and monthly full-stack patching allows IT teams to reduce system management while improving security

– Database-transparent PMem integration reduces SQL read latencies to less than 19 microseconds, allowing applications to support more transactions with less infrastructure and lower costs

– Up to 27.6 M SQL read IOPS and 1TB/s of analytics throughput per rack enable customers to increase OLTP throughput and accelerate data-driven insights while consolidating diverse workloads

 

– Highly configurable systems that scale from an eighth-rack to 12 racks allow customers to minimize the cost of meeting current database consolidation needs and easily expand resources to address future requirements

– Unique capabilities, such as SQL query offload to intelligent storage servers and automatic indexing, allow customers to scale application performance with minimal tuning by DBAs

– High-performance, in-database machine learning allows developers to add new capabilities to existing applications without integrating external services