A world of spatiotemporal data
How does it work?
Ingest batch and live stream spatiotemporal data flows from moving entities onto a single General System instance
Data is indexed during ingest at millions of rows per second making the data instantly available for queries
The multi-dimension index and innovative architecture enables complex queries and event detection to be run on billions of records in seconds, very cost-effectively
Triggers, alerts and results are flowed downstream in real time to improve operations
More about the platform
Read The WhitepaperBatch data
Streaming data
Real time engine
Index
Query
Event detection


Data processing
Data lakes/ Warehouse
Real time apps
Real time events
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Deep dive into the platform's unique architecture

Check out the speed and scale of the solution with a synthetic dataset of 1.6 million vehicles in London. The data is based on vehicle number plates with historic movements loaded in time order to realistically simulate a real-time feed of 92.4 billion datapoints.
Data sources supported

Physical moving objects
Personal devices, such as a smartphone or smart watch
Fleet of vehicles
Industrial or consumer robots or drones
Weather systems, earthquakes

Non physical objects
High volume or automated financial transactions
IP packets and IP traffic patterns
Cyber threats

Static sensors that track moving objects
Series of cameras such as number plate recognition

Aerial or satellite imagery
Indexing pixels or tiles to retrieve specific features at scale