Real-Time Data Analysis
Ability to analyze data in motion
Cat avg: 8.5
Ability to analyze data in motion
Cat avg: 8.5
Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data
Cat avg: 8.7
Ability to enrich the data stream with static reference data
Cat avg: 7.7
How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or data-point
Cat avg: 8.4
Easy-to-understand pictorial illustration of data with graphs charts and dashboards
Cat avg: 8.9
Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined functions and operators
Cat avg: 7.5
Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions
Cat avg: 7.5
Streaming Analytics is performing analytic computations on streaming data. Data streams can come from devices, sensors, websites, social media, applications, infrastructure systems, and more.
Ability to analyze data in motion
Category average: 8.5
Easy-to-understand pictorial illustration of data with graphs charts and dashboards
Category average: 8.9
Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data
Category average: 8.7
How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or data-point
Category average: 8.4
Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined functions and operators
Category average: 7.5
Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions
Category average: 7.5
Ability to enrich the data stream with static reference data
Category average: 7.7