#exadata

[alcrego]

Exadata

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

[alcrego]

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.▫️

·Exadata· (detail)

18 June, AOTM Gallery.

[clonetab]

Exadata Cloning Challenges & Solutions Guide with CT-TDB

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: ❌ Long refresh cycles ❌ Heavy storage consumption ❌ Manual DBA effort ❌ Downtime risks ❌ Loss of Exadata-native features

That’s where Clonetab changes the game.

With CT-TransDB + CT-TDB, enterprises can: ⚡ Clone multi-TB Oracle databases in under 1 hour ⚡ Retain critical Exadata capabilities like Smart Scan & HCC ⚡ Reduce operational overhead with automation ⚡ Enable rapid provisioning for Dev/Test environments ⚡ Improve agility while maintaining compliance & security

Modern enterprises need faster, smarter, and more reliable DBA automation — not manual bottlenecks.

Read the full article here:

[sandeep2363]

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 Exadata’s intelligent storage capabilities. This article explains the three key parameters: CELL_OFFLOAD_PROCESSING,…

[sandeep2363]

Oracle Exadata System Software – 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. Let’s break down the key components in simple words. Intelligent Storage and Network Exadata uses smart algorithms in: Storage servers → to handle data intelligently,…

[sandeep2363]

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. Let’s explore each feature one by one. 1. Reliability, Modularity, and…

[clonetab]

As the 𝟮𝟬𝟮𝟲 𝗯𝘂𝗱𝗴𝗲𝘁 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝘀𝗲𝗮𝘀𝗼𝗻 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗲𝘀, smart organizations are already asking one question: 👉 𝘏𝘰𝘸 𝘤𝘢𝘯 𝘸𝘦 𝘴𝘢𝘷𝘦 𝘮𝘰𝘳𝘦 𝘰𝘯 𝘋𝘉𝘈 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘤𝘰𝘮𝘱𝘳𝘰𝘮𝘪𝘴𝘪𝘯𝘨 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 𝘰𝘳 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘺? Imagine cloning 𝟭𝟬𝟬𝗧𝗕+ 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀 𝗶𝗻 𝘂𝗻𝗱𝗲𝗿 𝗮𝗻 𝗵𝗼𝘂𝗿, reverting snapshots in minutes, and empowering teams with 𝗦𝗤𝗟 𝘀𝗲𝗹𝗳-𝘀𝗲𝗿𝘃𝗶𝗰𝗲—all while reducing storage, time, and operational costs. 𝗪𝗵𝘆 𝗗𝗕𝗔 𝘁𝗲𝗮𝗺𝘀 𝗮𝗿𝗲 𝘀𝘄𝗶𝘁𝗰𝗵𝗶𝗻𝗴 𝘁𝗼 𝗖𝗹𝗼𝗻𝗲𝗧𝗮𝗯: • Ultra-fast database & application cloning • Snapshot-based instant data recovery • Advanced data scrambling for security • Backup & disaster recovery with low RTO/RPO • Zero-data-loss migrations & patching • Exadata cloning in under an hour • 24/7 Remote DBA services • AI-powered GRC & data retrieval tools 𝗢𝗻𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲. 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗗𝗕𝗔 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀. 𝗔 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝟮𝟬𝟮𝟲 𝗯𝘂𝗱𝗴𝗲𝘁. Stop spending more on tools. Start 𝘀𝗮𝘃𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝘄𝗶𝘁𝗵 𝗼𝗻𝗲 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. 👉 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗳𝘂𝘁𝘂𝗿𝗲-𝗽𝗿𝗼𝗼𝗳 𝘆𝗼𝘂𝗿 𝗗𝗕𝗔 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝘂𝗻𝗹𝗼𝗰𝗸 𝗿𝗲𝗮𝗹 𝗯𝘂𝗱𝗴𝗲𝘁 𝘀𝗮𝘃𝗶𝗻𝗴𝘀? 📩 𝗕𝗼𝗼𝗸 𝗮 𝗱𝗲𝗺𝗼 𝘄𝗶𝘁𝗵 Clonetab Inc. 𝘁𝗼𝗱𝗮𝘆. - https://clonetab.com/

[govindhtech]

Top Oracle Exadata Databases Run Faster On AMD EPYC CPUs

The best databases in the world perform better on 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 that AMD EPYC 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. AMD’s 4th Gen EPYC CPUs provide impressive performance whether you’re using Microsoft SQL Server or the Oracle Exadata Database Platform. First, let’s examine the Oracle Exadata platform to understand how AMD EPYC has contributed to the advancement of database computing.

The Database Platform for Oracle Exadata

Managing workloads for Oracle Exadata databases is a major endeavor. Exadata offers real-time vector search capabilities, analytics, and fast transaction processing. Tasks that are vital to the mission may be handled by the Exadata 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 Single’s Day.

Oracle developed the Oracle Exadata Database Platform to provide performance, scalability, availability, and security while supporting these workloads. This platform, which includes hardware, software, and an Oracle database, is simple to set up.

Oracle made a significant shift in 2023 after depending on Intel CPUs for years to power the Oracle Exadata Database Platform. Oracle decided to employ the 4th generation AMD EPYC CPU (previously code-named “Genoa”) in the most recent version X10M Exadata system in order to achieve better performance and energy efficiency.

Exadata Oracle

Think about the impact that EPYC CPUs have: Compared to the preceding Exadata X9M-2 system, the Exadata 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 Oracle’s 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 that database performance 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 new Exadata X10M server. Exadata 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, the Exadata system software was tailored to take full use of AMD EPYC’s 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

Let’s now examine Microsoft SQL Server 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. Let’s 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 recent 5th Gen Intel Xeon 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 generation 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 with Microsoft SQL Server and Oracle Exadata 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, AMD’s unrivaled 4th Gen EPYC CPUs are the obvious option for the finest database performance in the interim.

Read more on Govindhtech.com