Oracle Exadata

{{Short description|Computing platform specialized to the Oracle Database}}

{{Infobox software

| title = Oracle Exadata

| name = exadata

| logo =

| author = Oracle Corporation

| released = October 2008

| operating system = Oracle Linux

| platform = Exadata Database Machine, Exadata Database Service, Exadata Cloud@Customer

| license = Commercial

| website = {{URL|http://www.oracle.com/exadata}}

}}

File:Larry Ellison and Exadata.jpg and Exadata (2009)]]

Oracle Exadata (Exadata{{Cite web |last=Various |date=July 11, 2024 |title=Oracle Exadata |url=https://www.oracle.com/engineered-systems/exadata/ |access-date=July 11, 2024 |website=oracle.com}}) is a computing system optimized for running Oracle Databases.

Exadata is a combined database machine and software platform that includes scale-out x86-64 compute and storage servers, RoCE networking, RDMA-addressable memory acceleration, NVMe flash, and specialized software.{{Cite web|last=Pedregal-Martin|first=Cristobal|title=Exadata: Why and What|url=https://blogs.oracle.com/exadata/exadata-why-and-what}}

Exadata was introduced in 2008 for on-premises deployment, and since October 2015, via the Oracle Cloud as a subscription service, known as the Exadata Database Service on Dedicated Infrastructure,{{Cite web |last=Various |date=July 11, 2024 |title=Oracle Exadata Database Service on Dedicated Infrastructure |url=https://www.oracle.com/engineered-systems/exadata/#dedicated-infrastructure |access-date=July 11, 2024 |website=oracle.com}} and Exadata Database Service on Exascale Infrastructure.{{Cite web |last=Various |date=July 11, 2024 |title=Exadata Database Service on Exascale Infrastructure |url=https://www.oracle.com/engineered-systems/exadata/#exascale |access-date=July 11, 2024 |website=oracle.com}} Exadata Cloud@Customer{{Cite web |last=Various |date=July 11, 2024 |title=Oracle Exadata Cloud@Customer |url=https://www.oracle.com/engineered-systems/exadata/#exadata-cloudatcustomer |access-date=July 11, 2024 |website=oracle.com}} is a hybrid cloud (on-premises) deployment of Exadata Database Service.

Starting December, 2023, Exadata Database Service became available for Microsoft Azure, Google and AWS public clouds within the Oracle Database@Azure, Oracle Database@Google Cloud and Oracle Database@AWS [https://www.oracle.com/cloud/multicloud/ multicloud partnerships].

Use cases

Exadata is designed to run all Oracle Database workloads, such as OLTP, Data Warehousing, Analytics, and AI Vector processing, often with multiple consolidated databases running simultaneously.

Historically, specialized database machines were designed for a particular workload, such as Data Warehousing, and poor or unusable for other workloads, such as OLTP. Exadata specializes in mixed workloads sharing system resources with resource management features for prioritization, such as favoring workloads servicing interactive users over reporting and batch. Long running requests, characterized by Data Warehouses, reports, batch jobs and Analytics, are reported to run many times faster compared to a conventional, non-Exadata database server.{{Cite web |last=Various |date=July 11, 2024 |title=Exadata Customer Success Stories |url=https://www.oracle.com/customers/?search=exadata |access-date=July 11, 2024 |website=oracle.com}}{{Cite web |last=Various |date=July 11, 2024 |title=Gartner Peer Insights: Oracle Exadata Database Machine |url=https://www.gartner.com/reviews/market/integrated-systems/vendor/oracle/product/oracle-exadata-database-machine |access-date=July 11, 2024 |website=Gartner.com}}

Release History

class="wikitable"

! Exadata Release

! Primary Software Enhancements

! Primary Hardware Enhancements

Database@AWS

|Exadata Database Service available with AWS

|

rowspan="6" |X11M - Jan 2025

|AI Vector search acceleration - up to 55% faster

|25% faster compute core performance

Analytics scan throughput increase - 2.2x faster

|33% greater server memory bandwidth

Transaction processing acceleration - 25% faster

|11% faster storage core performance

OLTP read latency acceleration - up to 21% faster (14 microseconds)

|PCIe 5 performance-optimized flash

Intelligent power management - reduce CPU cores, cap power consumption, optimize power utilization

|X11M-Z database and storage servers

Available on-premises, Oracle Cloud, Cloud@Customer and multicloud (Azure, Google Cloud, AWS)

|

Database@Google Cloud

|Exadata Database Service available with Google Cloud

|

rowspan="3" |Exadata Exascale

July, 2024

|Fully elastic pay-per-use architecture. Users specify the cores and storage capacity needed, reducing entry-level infrastructure costs for Exadata Database Service and aligning costs with usage

| rowspan="3" |None

Large pools of shared compute and storage allow databases to quickly scale over time without concern for server-based size limitations or disruptive migrations
Rapid and efficient database snapshots and thin cloning
Database@Azure

|Exadata Database Service available with Microsoft Azure

|

rowspan="5" |X10M - June 2023

|Exadata RDMA Memory (XRMEM) DRAM cache

|3x increase in compute cores (96-core AMD EPYC)

Oracle Linux 8 and UEK 6 kernel updates

|1.5x higher memory capacity

New In-Memory Columnar compression algorithm

|2.5x faster DDR5 memory

Optimized Smart Scan for more complex queries

|2.4x higher flash storage capacity (in all-flash storage)

Faster decryption and decompression

|22% more disk storage capacity

rowspan="6" |X9M - Sept, 2021

|Secure RDMA fabric isolation

|PCIe 4.0 dual-port active-active 100 Gb RoCE network

Smart Flash Log write-back

|33% increase in compute cores

Storage Index and Columnar Cache persistence

|33% increase in memory capacity

Faster decryption and decompression Algorithms

|28% increase in disk capacity

Smart Scan performance optimizations

|1.8x greater internal fabric bandwidth (PCIe 4.0)

|1.8x greater flash bandwidth (PCIe 4.0)
rowspan="4" |X8M - Sept, 2019

|RoCE: RDMA over Converged Ethernet

|Persistent Memory (PMEM) in storage

Persistent Memory Data Accelerator

|100 Gbit/s internal fabric (2.5x increase)

Persistent Memory Commit Accelerator

| rowspan="2" |

KVM virtual machine support
rowspan="3" |X8 - April, 2019

|AIDE: Advanced Intrusion Detection Environment

|Storage Server Extended (XT)

ML-based monitoring and auto-indexing

|40% increase in disk capacity

Real-time updates of optimizer statistics

|60% increase in storage processor cores

rowspan="3" |X7 - Oct, 2017

|In-memory database in flash storage

|2x increase in flash capacity

DRAM cache in storage

|25% increase in disk capacity

Large-scale storage software updates

|25 Gbit/s data center Ethernet support

Exadata Cloud@Customer

|Exadata Cloud Service on-premises

|

rowspan="3" |X6 - April, 2016

|Exafusion direct-to-wire OLTP protocol

|2x increase in flash capacity

Smart Fusion Block Transfer

|10% increase in compute cores

Smart Flash Log

|2x increase in memory capacity

Exadata Database Service

|Exadata on Oracle Cloud Infrastructure (OCI)

|

rowspan="5" |X5 - Dec, 2014

|In-memory database fault tolerance

|2x increase in flash & disk capacity

Database snapshots

|Elastic configurations

Xen virtual machine support

|All-flash storage server option

NVMe flash protocol support

|50% increase in compute cores

IPv6 support

|50% increase in memory capacity

rowspan="4" |X4 - Nov, 2013

|Network Resource Management

|2x increase in flash capacity

I/O latency capping

|2x increase in memory capacity

Capacity-on-Demand licensing

|50% increase in compute cores

Active/Active InfiniBand (2x increase)

|33% increase in disk capacity

rowspan="5" |X3 - Sept, 2013

|Smart Flash Cache write-back

|Eighth-Rack configuration

Improved management of slow disks/flash

|4x increase in flash capacity

Sub-second brownout after storage failure

|33% increase in compute cores

Simplified disk replacement

|75% increase in memory capacity

Bypass predictive disk failure

|2x increase in data center bandwidth

rowspan="7" |X2 - Sept, 2010

|Smart Flash Log

|8-socket (X2-8) configuration

Auto Service Request

|Storage Expansion Rack

Secure Erase of storage

|Hardware-based decryption

Platinum Services

|50% increase in compute cores

rowspan="3" |

|2x increase in memory capacity

50% increase in disk capacity
8x increase in data center bandwidth
rowspan="5" |v2 - Sept, 2009

|Storage Indexes

|Flash storage

Database-aware Smart Flash Cache

|Quarter-Rack configuration

Hybrid Columnar Compression

|2x increase in memory & disk capacity

rowspan="2" |

|3x increase in data center bandwidth

40 Gbit/s internal fabric (2x increase)
rowspan="6" |v1 - Sept, 2008

|Oracle Enterprise Linux

|Scale-out 4-socket compute servers

Smart Scan (storage offload)

|Scale-out 4-socket storage servers

IORM (I/O Resource Manager)

|20 Gbit/s internal fabric (InfiniBand)

Join filtering (Bloom filters)

|1 Terabyte disks

Incremental backup filtering

|1 Gbit/s data center network (Ethernet)

Smart file creation

|

Support Policy

As the platform has been around since 2008, Oracle has published information related to the end-of-support for older Exadata generations. In Oracle's published document titled Oracle Hardware and Systems Support Policies,{{Cite web|url=https://www.oracle.com/us/support/library/hardware-systems-support-policies-069182.pdf|title=Oracle Hardware and Systems Support Policies|access-date=March 5, 2021}} they mention "After five years from last ship date, replacement parts may not be available and/or the response times for sending replacement parts may be delayed." To look up the "last ship date" of a particular Oracle Exadata generation, Oracle published a document titled Oracle Exadata - A guide for decision makers.{{Cite web |last=Various |title=Oracle Exadata - A guide for decision makers |url=https://www.oracle.com/a/otn/docs/exadata-decision-maker-guide.pdf |access-date=July 11, 2024 |website=oracle.com}}

Each generation of the Oracle Zero Data Loss Recovery Appliance shares components with similar generations of Exadata.

References

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