Skip to content
Effectuez une recherche pour en savoir plus sur les produits et solutions InterSystems, les offres d'emploi, etc.

A Superior Alternative to In-Memory Databases and Key-Value Stores

InterSystems IRIS

Introduction

Businesses often use in-memory databases or key-value stores (caching layers) when applications require extremely high performance. However, in-memory databases incur a high total cost of ownership and have hard scalability limits, incurring reliability problems and restart delays when memory limits are exceeded. In-memory key-value stores share these limitations and introduce architectural complexity and network latency as well.

This paper explains why InterSystems IRIS™ data platform is a superior alternative to in-memory databases and key-value stores for high-performance SQL and NoSQL applications.

Taking Performance and Efficiency to the Next Level

InterSystems IRIS is the only persistent database that can match or beat the performance of in-memory databases and caching layers for concurrent data ingestion and analytics processing. It can process incoming transactions, persist the data to disk, and index it for analytics in under one microsecond on commercially available hardware without introducing network latency.

RELATED TOPICS

Autres Ressources Que vous Pourriez Apprécier

26 Nov 2024
Omdia
In this Omdia report, Chief Analyst Bradley Shimmin looks at InterSystems, InterSystems IRIS and Smart Data Fabrics. Read the report's introductory summary below and download the complete report.
26 Nov 2024
S&P Global Market Intelligence
In this S&P Global Market Intelligence report, Analyst James Curtis looks at InterSystems IRIS. His analysis of InterSystems and InterSystems IRIS covers:
21 Nov 2024
Make Your HIE Vision a Reality
Specifying Requirements, Evaluating Technologies, and Selecting Partners Download the Planning Guide
19 Nov 2024
High Performance, Availability, and Security
How InterSystems Ensures High Performance, Availability, and Security for its Cloud-Hosted Offerings
19 Nov 2024
Forrester Research
InterSystems reconnu comme leader dans The Forrester Wave™ : Translytical Data Platforms, Q4 2024, pour ses capacités translytiques (transactionnel et analytique) complètes en temps réel. Lire le rapport
31 Oct 2024
BLOOR Research Opinion Article
This article from UK Analyst Bloor Research recognises the capabilities and advantages of InterSystems IRIS data platform as an "innovative and powerful data management platform" and it’s Smart Data Fabric capabilities offering a market differentiator.
31 Oct 2024
HIMSSCast
How to get the most benefit from machine learning and AI How can healthcare organizations best leverage artificial intelligence (AI) tools, including generative artificial intelligence (GenAI)? Join Alex MacLeod, Director of Healthcare Solution Innovation at InterSystems, as she discusses key steps and challenges for organizations interested in adopting AI and other advanced technologies, as well as use cases that can improve care delivery and drive operational efficiencies.
30 Oct 2024
A Benchmarking System to Spark Companies to Action
Download the Report
23 Oct 2024
Market Note
This report explores how advancements in AI, including large language models and natural language processing, are revolutionizing every aspect of capital markets, from trading strategies to compliance and portfolio management.
22 Oct 2024
Fact Sheet
Unified Data has the Power to Transform

Passez à l'étape suivante

Nous serions ravis d'échanger avec vous. Remplissez les champs suivants et nous vous recontacterons.
*Champs obligatoires
*Champs obligatoires
*Champs obligatoires
*Champs obligatoires
** En cochant cette case, vous consentez à recevoir des actualités, des mises à jour et toute autre information à objectif marketing liés aux produits et événements actuels et futurs d'InterSystems. En outre, vous consentez à ce que vos coordonnées professionnelles soient saisies dans notre solution CRM hébergée aux États-Unis, mais conservées conformément aux lois applicables en matière de protection des données.