Azure IoT Performance Scalability 
ScaleOut Software
JULY 14, 2021
The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.
Dynatrace
OCTOBER 11, 2021
In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Scalability is a major feature of GCF. GCF also has relevance in IoT and file processing tasks.
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Scalegrid
MAY 13, 2020
Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.
Dynatrace
OCTOBER 1, 2021
Because cloud services rely on a uniquely distributed and dynamic architecture, observability may also sometimes refer to the specific software tools and practices businesses use to interpret cloud performance data. Observability enables you to understand what is slow or broken and what needs to be done to improve performance.
ScaleOut Software
APRIL 6, 2021
With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.
ScaleOut Software
JUNE 22, 2020
Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.
ScaleOut Software
JUNE 22, 2020
Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.
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