VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. In these use cases, data processing usually has less than a 5 milliseconds latency budget. Real-World Example Problem. Portfolio risk management.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. In these use cases, data processing usually has less than a 5 milliseconds latency budget. Real-World Example Problem. Portfolio risk management.

Architecture 40

Architecture Scalability Ecommerce Latency 40

All Things Distributed

NOVEMBER 13, 2018

Lamborghini, the world-famous manufacturer of elite, luxury sports cars based in Italy, has been using AWS to reduce the cost of their infrastructure by 50 percent, while also achieving better performance and scalability. The company decided it wanted the scalability, flexibility, and cost benefits of working in the cloud.

AWS 167

AWS Energy Automotive Traffic 167

ScaleOut Software

JULY 14, 2021

It provides support for a range of message protocols, buffering, and scalable message distribution to downstream services. What’s different is the streaming service’s focus on real-time analytics and its use of an in-memory computing platform integrated with Azure IoT Hub to ensure the lowest possible latency and high scalability.

IoT 52

IoT Azure Analytics Serverless 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

AUGUST 18, 2018

medical patients, ecommerce shoppers), distributed, in-memory data grids (IMDGs) with integrated in-memory computing (such as ScaleOut StreamServer ) provide a natural platform for hosting these objects and executing their event-handling functions. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 45

IoT Ecommerce Analytics Latency 45