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Extract critical insights at speed to enable faster and more accurate decision making from the constant flow of real-time data generated by sensors, mobile devices, cameras, vehicles and other IoT platforms moving in time and space.
Machine data is growing faster than we can manage
As the volume, velocity and variety of data continues to grow exponentially, it becomes increasingly challenging, complex and costly to ingest, process and analyze hyper-scale data. Queries become impractical and prevent users from deriving timely information or intelligence.
A high-performance, scalable data infrastructure platform that is purpose-built and designed for fast and effective analysis of spatiotemporal (location and time) data.
Ingest, index, query and alert across large and diverse data sets at millions of records per second on batch or streaming data to support critical decisions.
Interrogate and Uncover
Devices of interest
Locations of Interest
Suspects of interest
Patterns of behavior
Common dwelling and meeting points
Customers tell us
“We are overwhelmed with data and can neither extract intelligence nor query the data fast enough for actionable insights”
“We are unable to ingest spatiotemporal sources at scale - let alone analyze the data” Data Scientist
“Everyone has a visualization tool but no-one has your engine and processing power”
Government Technical Lead
“1.5 billion records used to take us 12 hours to ingest using traditional PostGIS processing and 12 hours more to index. The entire data set is now ingested and indexed in just 4 minutes and 43 seconds. That is game changing”
Based on a highly optimized database kernel containing multiple technologies and unique architectural features, the platform provides an unparalleled foundation and scalable solution for processing high velocity, high volume spatiotemporal workloads - streamed or in batches.
State-of-the-art, thread-per-core architecture, vectorized storage model and user space scheduling of I/O and execution combine with the ability to ingest and simultaneously index streaming workloads. This allows analysts to create immediately queryable datasets and run complex, spatiotemporal queries in seconds, instead of minutes, hours or days.
Real time machine data.
Real world possibilities.
Easy to use
Designed for technical and non-technical users, with minimal training
Built for open architecture and interoperability
Fits seamlessly into existing infrastructure, aggregating data from multiple sources
Index on ingestion at millions of spatiotemporal records per second
Run complex polygon relationship and geofencing queries during live ingest
Macro to micro visualization
Drill down from billions of data points to pinpoint entity-level detail in seconds
Layer historic and streaming spatiotemporal data in different formats to create rich data models at massive scale
Free up analysts for other important tasks
Store hundreds of billions of records per index on a single commodity server
Energy efficient and low cost
Small footprint keeps costs low and contributes to ESG goals