Skip to content
Vyhledejte informace o produktech a řešeních InterSystems, kariérních příležitostech a dalších.

Performance and Scalability Benchmark: InterSystems IRIS and Intel Optane DC Persistent Memory

Benchmark

Executive Summary

InterSystems and Intel recently conducted a series of benchmarks combining InterSystems IRIS® data platform with 2nd Generation Intel® Xeon® Scalable Processors, also known as Cascade Lake, and Intel® Optane™ DC persistent memory (DCPMM). The goal of these benchmarks was to demonstrate the performance and scalability capabilities of InterSystems IRIS with Intel’s latest memory technologies in various workload settings and server configurations. Along with various benchmark results, three different use cases of Intel DCPMM with InterSystems IRIS are provided in this report.

Two types of workload were used to demonstrate performance and scaling — a read-intensive workload and a write-intensive workload. The reason for demonstrating these separately was to show the impact of Intel DCPMM on different use cases specific to increasing database cache efficiency in a read-intensive workload, and increasing write throughput for transaction journals in a write-intensive workload. In both of these use-case scenarios, significant throughput, scalability, and performance gains for InterSystems IRIS were achieved.

  • The read-intensive workload leveraged a four-socket server and massive long running analytical queries across a dataset of approximately 1.2TB of total data. With DCPMM in Memory Mode, benchmark comparisons yielded a significant reduction in elapsed runtime — it was approximately six times faster when compared with a previous-generation Intel Xeon E7 v4 series processor with less memory. When comparing like-for-like memory sizes between the E7 v4 and the latest server with DCPMM, there was a 20% improvement. This was due to both the increased InterSystems IRIS database cache capability afforded by DCPMM and the latest Intel processor architecture.
  • The write-intensive workload leveraged a two-socket server and InterSystems HL7 v2 messaging benchmark, which consists of numerous inbound interfaces. Each message has several transformations and then four outbound messages for each inbound message. One of the stringent requirements in sustaining high throughput is the message durability guarantees of InterSystems IRIS for Health™, and the transaction journal write performance is crucial in that operation. With DCPMM in App Direct Mode as direct access (DAX) presenting an XFS file system for transaction journals, this benchmark demonstrated a 60% increase in message throughput.

To summarize the test results and configurations: DCPMM offers significant throughput gains when used in the proper InterSystems IRIS setting and workload. The high-level benefits are increased database cache efficiency and reduced disk I/O block reads in read-intensive workloads and also increased write throughput for journals in write-intensive workloads.

In addition, Cascade Lake-based servers with DCPMM provide an excellent update path for those looking to refresh older hardware and improve performance and scaling. InterSystems® technology architects are available to help with those discussions and provide advice on suggested configurations for your existing workloads.

RELATED TOPICS

Další Zdroje, Které By Se Vám Mohly Líbit

Sep 18, 2024
Zjistěte, co je to relační databáze, jaké jsou její klíčové vlastnosti a proč je pro vaši firmu klíčová. Přečtěte si o jejích výhodách, oblíbených systémech a srovnání s jinými databázemi
Sep 18, 2024
Datová struktura modernizuje správu dat a poskytuje zjednodušený přístup, transformaci a harmonizaci dat pro různé podnikové aplikace.
Sep 09, 2024
Spotlight by Bloor
Data fabric is a more flexible data architecture that can work without building yet more data silos and instead synamically access data in situ in operational source systems.
Sep 09, 2024
Bloor Market Update
A look at the current state of the data fabric market by Bloor Research
Sep 06, 2024
Bloor Research
A Bloor Gold Mutable Award 2024 By Andy Hayler – Practice Leader, Data as an Asset InterSystems and the Data FabricWhy Should You Care?
Aug 09, 2024
A CHIME Thought Leadership Roundtable
At a CHiME Roundtable, executives from leading HCOs came together to discuss how artificial intelligence revolutionize clinical care.
Jul 26, 2024
Harris Associates
Implementací InterSystems Smart Data Fabric společnost Harris Associates odbourává datová sila a zkracuje dobu potřebnou k přijímání informovaných obchodních rozhodnutí.
Jul 26, 2024
Forrester Research
Společnost InterSystems je uznávána jako Strong Performer, protože poskytuje "komplexní datovou strukturu pro podporu jakéhokoli případu použití ve velkém měřítku".
Jul 22, 2024
Technology Guide
Enabling integrators and developers to deliver highly customized intelligent supply chain applications
Jul 11, 2024
Eleven common questions and answers
Today more than ever before, organizations are striving to gain a competitive edge, deliver more value to customers, reduce risk, and respond more quickly to the needs of the business. To achieve these goals, organizations need easy access to a single view of accurate, consistent, and trusted data – and all in real time. However, growing volumes and complexities of data make this difficult to achieve in practice. As data grows, so does the prevalence of data silos, making integrating and leveraging data from internal and external data sources a challenge.

Udělejte další krok

Rádi si s vámi promluvíme. Vyplňte některé údaje a my vás budeme kontaktovat.
*Povinná pole
Highlighted fields are required
*Povinná pole
Highlighted fields are required
** Výběrem možnosti ano dáváte souhlas k tomu, abyste byli kontaktováni pro novinky, aktualizace a další marketingové účely týkající se stávajících a budoucích produktů a událostí společnosti InterSystems. Kromě toho souhlasíte s tím, aby byly vaše kontaktní údaje zadávány do našeho řešení CRM, které je hostováno ve Spojených státech, ale je udržováno v souladu s platnými zákony o ochraně osobních údajů.