Exadata
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Exadata
Part of 'Whispers and Closed doors' exhibition by AOTM Gallery past June.

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We fear a machine that we feed ourselves, most times unconsciously, that later commands us what to do, what to think, what to feel. And all just with light.โซ๏ธ
ยทExadataยท (detail)
18 June, AOTM Gallery.
Learn common Exadata cloning challenges, performance issues, and proven solutions for faster, reliable database cloning.
Struggling with Oracle Exadata cloning complexity?
Traditional cloning methods often lead to: โ Long refresh cycles โ Heavy storage consumption โ Manual DBA effort โ Downtime risks โ Loss of Exadata-native features
Thatโs where Clonetab changes the game.
With CT-TransDB + CT-TDB, enterprises can: โก Clone multi-TB Oracle databases in under 1 hour โก Retain critical Exadata capabilities like Smart Scan & HCC โก Reduce operational overhead with automation โก Enable rapid provisioning for Dev/Test environments โก Improve agility while maintaining compliance & security
Modern enterprises need faster, smarter, and more reliable DBA automation โ not manual bottlenecks.
Read the full article here:
Understanding CELL_OFFLOAD Parameters in Oracle Exadata
Oracle Exadata introduces special initialization parameters that allow SQL operations, query plans, and even decryption to be offloaded from the database servers to the Exadata Storage Servers. This offloading improves performance, reduces CPU usage, and leverages Exadataโs intelligent storage capabilities. This article explains the three key parameters: CELL_OFFLOAD_PROCESSING,โฆ
Oracle Exadata System Software โ Overview
Oracle Exadata is a powerful platform designed to run Oracle Database faster and more efficiently. What makes it special is the unique algorithms and intelligent software that manage both database servers and storage servers. Letโs break down the key components in simple words. Intelligent Storage and Network Exadata uses smart algorithms in: Storage servers โ to handle data intelligently,โฆ

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Key Features of Oracle Exadata System Software
Unlocking Oracle Exadata: Features for Speed & Efficiency Oracle Exadata is a specialized database machine designed to run Oracle Database at extreme speed and efficiency. Its system software introduces unique features that make it reliable, cost-effective, and powerful for both transactional and analytical workloads. Letโs explore each feature one by one. 1. Reliability, Modularity, andโฆ
As the ๐ฎ๐ฌ๐ฎ๐ฒ ๐ฏ๐๐ฑ๐ด๐ฒ๐ ๐ฝ๐น๐ฎ๐ป๐ป๐ถ๐ป๐ด ๐๐ฒ๐ฎ๐๐ผ๐ป ๐ฎ๐ฝ๐ฝ๐ฟ๐ผ๐ฎ๐ฐ๐ต๐ฒ๐, smart organizations are already asking one question: ๐ ๐๐ฐ๐ธ ๐ค๐ข๐ฏ ๐ธ๐ฆ ๐ด๐ข๐ท๐ฆ ๐ฎ๐ฐ๐ณ๐ฆ ๐ฐ๐ฏ ๐๐๐ ๐ฐ๐ฑ๐ฆ๐ณ๐ข๐ต๐ช๐ฐ๐ฏ๐ด ๐ธ๐ช๐ต๐ฉ๐ฐ๐ถ๐ต ๐ค๐ฐ๐ฎ๐ฑ๐ณ๐ฐ๐ฎ๐ช๐ด๐ช๐ฏ๐จ ๐ฑ๐ฆ๐ณ๐ง๐ฐ๐ณ๐ฎ๐ข๐ฏ๐ค๐ฆ ๐ฐ๐ณ ๐ด๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ? Imagine cloning ๐ญ๐ฌ๐ฌ๐ง๐+ ๐ฎ๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป & ๐ฑ๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ ๐ฒ๐ป๐๐ถ๐ฟ๐ผ๐ป๐บ๐ฒ๐ป๐๐ ๐ถ๐ป ๐๐ป๐ฑ๐ฒ๐ฟ ๐ฎ๐ป ๐ต๐ผ๐๐ฟ, reverting snapshots in minutes, and empowering teams with ๐ฆ๐ค๐ ๐๐ฒ๐น๐ณ-๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒโall while reducing storage, time, and operational costs. ๐ช๐ต๐ ๐๐๐ ๐๐ฒ๐ฎ๐บ๐ ๐ฎ๐ฟ๐ฒ ๐๐๐ถ๐๐ฐ๐ต๐ถ๐ป๐ด ๐๐ผ ๐๐น๐ผ๐ป๐ฒ๐ง๐ฎ๐ฏ: โข Ultra-fast database & application cloning โข Snapshot-based instant data recovery โข Advanced data scrambling for security โข Backup & disaster recovery with low RTO/RPO โข Zero-data-loss migrations & patching โข Exadata cloning in under an hour โข 24/7 Remote DBA services โข AI-powered GRC & data retrieval tools ๐ข๐ป๐ฒ ๐๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ. ๐ ๐๐น๐๐ถ๐ฝ๐น๐ฒ ๐๐๐ ๐๐ผ๐น๐๐๐ถ๐ผ๐ป๐. ๐ ๐๐บ๐ฎ๐ฟ๐๐ฒ๐ฟ ๐ฎ๐ฌ๐ฎ๐ฒ ๐ฏ๐๐ฑ๐ด๐ฒ๐. Stop spending more on tools. Start ๐๐ฎ๐๐ถ๐ป๐ด ๐บ๐ผ๐ฟ๐ฒ ๐๐ถ๐๐ต ๐ผ๐ป๐ฒ ๐ฝ๐ผ๐๐ฒ๐ฟ๐ณ๐๐น ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ. ๐ ๐ฅ๐ฒ๐ฎ๐ฑ๐ ๐๐ผ ๐ณ๐๐๐๐ฟ๐ฒ-๐ฝ๐ฟ๐ผ๐ผ๐ณ ๐๐ผ๐๐ฟ ๐๐๐ ๐ผ๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ ๐ฎ๐ป๐ฑ ๐๐ป๐น๐ผ๐ฐ๐ธ ๐ฟ๐ฒ๐ฎ๐น ๐ฏ๐๐ฑ๐ด๐ฒ๐ ๐๐ฎ๐๐ถ๐ป๐ด๐? ๐ฉ ๐๐ผ๐ผ๐ธ ๐ฎ ๐ฑ๐ฒ๐บ๐ผ ๐๐ถ๐๐ต Clonetab Inc. ๐๐ผ๐ฑ๐ฎ๐. - https://clonetab.com/
Top Oracle Exadata Databases Run Faster On AMD EPYC CPUs
The best databases in the world perform better onย AMD EPYC processors.
Oracle Exadata
They at AMD think that their EPYC processors are the finest data center CPUs available. Their clients concur. EPYC processors have become widely used, as shown by the fact that they run the Frontier system at Oak Ridge National Laboratory, the most powerful supercomputer in the world, and that they are used in over 800 public cloud instances across all major cloud service providers. Businesses are using more and more EPYC CPUs to power their on-premise infrastructures across all business verticals.
Indeed, AMD EPYC now holds over 300 world records for efficiency and performance, both on-site and in the cloud. However, did you realize that data management and analytics account for more than 50 of those records? This indicates thatย AMD EPYCย is the best option available for processing the most important and fundamental business tasks in the globe.
The two databases that big businesses use the most often are Oracle and Microsoft SQL Server. AMDโs 4th Gen EPYC CPUs provide impressive performance whether youโre using Microsoft SQL Server or the Oracleย Exadataย Database Platform. First, letโs examine the Oracleย Exadataย platform to understand how AMD EPYC has contributed to the advancement of database computing.
The Database Platform for Oracleย Exadata
Managing workloads for Oracleย Exadataย databases is a major endeavor.ย Exadataย offers real-timeย vector searchย capabilities, analytics, and fast transaction processing. Tasks that are vital to the mission may be handled by theย Exadataย system. These workloads allow for the instantaneous completion of online financial transactions while instantly detecting fraudulent activity. These database workloads help carriers maintain their networks and keep up with the increasing needs of the worldwide 5G network. They also keep the internet transactions flowing, particularly during the peak shopping seasons of Cyber Monday and Singleโs Day.
Oracle developed the Oracleย Exadataย Database Platform to provide performance, scalability, availability, and security while supporting these workloads. This platform, which includesย hardware, software, and an Oracle database, is simple to set up.
Oracle made a significant shift in 2023 after depending onย Intel CPUsย for years to power the Oracleย Exadataย Database Platform. Oracle decided to employ the 4th generation AMD EPYC CPU (previously code-named โGenoaโ) in the most recent version X10Mย Exadataย system in order to achieve better performance and energy efficiency.
Exadata Oracle
Think about the impact that EPYC CPUs have: Compared to the precedingย Exadataย X9M-2 system, theย Exadataย X10M Database Platform features three times more database server cores per socket from 32 to 96 cores thanks to AMD EPYC CPUs. More EPYC CPU cores simply translate into more database transactions and quicker analytics when combined with Oracleโs optimized software.
Meanwhile, the dual-socket X10M Database server can now tackle tasks that previously needed pricey and power-hungry 8-socket servers thanks to its remarkable core count. An organization may recover precious space in the data center and save energy by using fewer, smaller servers to do the same tasks.
X10M Database server
In order to ensure thatย database performanceย grows linearly with a core count of up to 192 per Database Server (2 X 96 core CPUs), AMD and Oracle worked together to enhance the performance of the newย Exadataย X10M server.ย Exadataย system software, on the other hand, can encrypt and decrypt data quicker than other components can get it to the chip thanks to the 4th generation AMD EPYC CPU. Furthermore, theย Exadataย system software was tailored to take full use of AMD EPYCโs reliability, availability, and serviceability (RAS) features. One example of this is Platform First Error Handling, which improves the uptime of workloads related to key databases.
Microsoft SQL Server
Letโs now examine Microsoftย SQL Serverย and see how AMD EPYC leads the industry in database transaction processing speed. Businesses often utilize the TPC (Transaction Processing Performance Council) benchmarks to assess processor performance as well as the overall performance of server systems. To guarantee the validity of the benchmark test findings, TPC.org has an audited library of benchmarks. Letโs examine two widely used TPC benchmarks to assess database performance: TPC-E and TPC-H.
Decision support systems that analyze vast amounts of data, carry out intricate queries, and respond to important business inquiries are evaluated using the TPC-H benchmark. According to this test, the best performance the most queries per hour is achieved by a non-clustered system running Microsoft SQL Server 2022 on a 64-core 4th Gen AMD EPYC CPU. Performance on the AMD-based system is 14% better than that of a system powered by the most recentย 5th Gen Intel Xeonย 8592+. To put it another way, the firm can evaluate data considerably more quickly and get business outcomes since there are 14% more inquiries answered in an hour.
The findings shown above pertain to a database with a 10TB size. Furthermore, the TPC-H findings show that AMD EPYC powered systems also provide the best non clustered performance for 3 TB (EPYCWR-869) and 1 TB databases (EPYCWR-865).
In the meanwhile, online transaction processing (OLTP) is measured by the TPC-E benchmark. There are twelve simultaneous transactions of varying kinds and complexity involved. Either online or time- or price-based criteria are used to initiate the transactions.
Once again, while running Microsoft SQL Server 2022, the AMD-based system achieves the greatest performance for a non-clustered server on the TPC-E benchmark. When compared to a system using a 5th generationย Intel Xeon CPU, the system built around the 4th generation AMD EPYC processor performs 7% better.
In summary
AMD has shown that its EPYC CPUs provide the greatest performance available on the market when used withย Microsoft SQL Serverย and Oracleย Exadataย databases. It is not worth taking shortcuts when it comes to organizing and evaluating data that is essential to the continuous operation of your organization.
AMD continues to set the standard in the server industry with the upcoming release of 5th Gen EPYC CPUs. For the highest database workloads, AMDโs unrivaled 4th Gen EPYC CPUs are the obvious option for the finest database performance in the interim.
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