Data Ingestion from Multiple Data Sources
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
Top Performing Features
Low Latency
How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or data-point
Cat avg: 8.4
Data wrangling and preparation
Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.
Cat avg: 7.8
Integrated Development Tools
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
Spotfire Streaming Features from Reviews
Streaming Analytics
Streaming Analytics is performing analytic computations on streaming data. Data streams can come from devices, sensors, websites, social media, applications, infrastructure systems, and more.
8.6+5%
Data Ingestion from Multiple Data Sources
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
Low Latency
How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or data-point
Category average: 8.4
Integrated Development Tools
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
Data wrangling and preparation
Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.
Category average: 7.8
Spotfire Streaming Features from the Vendor
Additional Features
Vendor-contributedLow-latency, high throughput complex event processing
Graphical development language, EventFlow, using Eclipse-powered IDE
Native clustering built-in for out-of-the-box distributed scaling and/or fault tolerance