Streaming Analytics
Process, analyze, and summarize massive volume data streams for real-time insights.
HOW IT WORKS
POWERFUL
High-volume data
stream processing
Streaming Analytics features high-volume data stream processing capable of handling thousands of events per second--in near real-time.
ADVANCED TECHNIQUES
Natural language
processing
Streaming Analytics integrates cutting-edge data science principles to perform natural language processing during the event-data processing pipeline to enhance and prepare insights in real time.
PREDICTIVE ALGORITHMS
Sentiment analysis
Streaming Analytics integrates advanced machine learning algorithms to perform sentiment analysis on textual data to predict and measure whether content is positive, negative, or neutral. As with natural language processing methods, these sentiment analysis algorithms are applied during the event data processing pipeline in order to enhance and prepare data in real time.
LIVE WALL DISPLAY
High-volume data
event updates
The Streaming Analytics live wall component displays a sample of what's being collected from your chosen data streams in real time. Customize your view with embedded media displays or other custom data cards.
GLOBAL INSIGHTS
High-volume data
geospatial analytics
Streaming Analytics features advanced geospatial analytics capabilities, plotting data on a three dimensional globe to indicate where in the world the event data is occurring, as well as the general nature of the events by geography. Using advanced web technology, Streaming Analytics allows users to drill-down on event data across the world to gain more insights.
WEB-BASED MONITORING
Real-time dashboard analytics
Our web-based Streaming Analytics dashboards feature insights and analytics updated in real-time as new event data is processed - without needing to refresh the page.
Overall Analytics Dashboard
The Overall Analytics Dashboard provides summary analytics, updated in real-time, on high-level trends across events. An assortment of components provide different aggregations and views of the data as it's processed.
Detailed Analytics Dashboard
The Detailed Analytics Dashboard provides finer-grain analytics and aggregations based on relevant drilled-down event characteristics.
Product Principles
Event-driven system architecture
Systems should mirror the event-driven nature of the world, following architecture principles laid out in the Reactive Manifesto. Event-driven system architectures allow for better scalability, performance, and adaptability in the long-run.
Pipeline-based data processing and enhancement
Data should be processed, aggregated, and enhanced as part of a pipeline, while the application is still processing the underlying event. This removes the reliance on post-processing, so analytics and insights can be made available in real time.
Intuitive, advanced user experience
Systems of the future must provide modern, intuitive, and customizable user experiences that are tailored to meet the unique needs of each user. With the latest web technology, it's possible to build user interfaces that are optimized to present data to end-users that is intuitive, understandable, and actionable.
Real-time dashboard updates
Analytics dashboards should update in real time without requiring a page refresh. Using modern web technology, our systems are built to update application components independently as data is collected and analyzed.
Cloud-native and scalable
Systems should be cloud-native and scalable by default. The Streaming Analytics platform uses a reactive microservice architecture that can be deployed on any cloud platform and is designed to scale on-demand out of the box.