Database Logistics Programming Scalability 
ScaleOut Software
JANUARY 9, 2020
Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The post The Next Generation in Logistics Tracking with Real-Time Digital Twins appeared first on ScaleOut Software.
ScaleOut Software
JANUARY 9, 2020
Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.
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ScaleOut Software
JANUARY 9, 2020
Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.
ScaleOut Software
APRIL 3, 2020
What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.
ScaleOut Software
APRIL 3, 2020
What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.
Dynatrace
DECEMBER 10, 2020
Traditional monitoring tools don’t scale to dynamic cloud environments, support new technologies, provide distributed tracing nor have an Application Programming Interface (API) to integrate testing and workflow platforms. Different teams have their own siloed monitoring solution.
All Things Distributed
AUGUST 20, 2015
It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. Traditionally, these connections have been stored in relational databases, with each object type requiring its own table. Enter graph databases.
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