A warehouse built for time-series
A managed PostgreSQL warehouse tuned for high-volume telematics, holding very large record counts with hot and cold retention policies you set.
IoT Query
The history, in a form you can ask questions of.
Live tracking answers “where is it now”. IoT Query is the store behind it — telematics history kept in a warehouse your own tools can query directly, which is where reporting stops being a product limitation.
What arrives What you can query
dev.867...0417 asset Tanker 12 ts.1774163160 time 14:26 · local pos.26.4207,50.0888 zone Dammam yard io.a = 1 ignition on io.b = 0.62 fuel_level 62% evt.11 event harsh_braking select asset, sum(distance_km) from trips
where zone = 'Dammam yard' and day >= '2026-07-01'
group by asset order by sum(distance_km) desc Capability
Capability
Telematics IDs mapped to real things
Device identifiers resolved to drivers, assets, jobs and contracts — so a query returns business entities rather than serial numbers.
Capability
SQL your tools already speak
A documented schema your BI stack, applications and models can query directly, without an export ritual every Monday morning.
Capability
Input stream management
Data arriving from trackers, vehicle telematics units and OEM gateways handled as managed streams rather than ad-hoc feeds.
Capability
Enhancement before storage
Calculations and server-side logic applied to the stream as it lands, so what you store is already the shape you need.
Capability
A path to machine learning
Pipelines out to external ML platforms for work like predictive maintenance, fuel-theft detection and demand forecasting — the analytics you sell upward, once the data is queryable.
What it means for you
Why a tracking company cares.
This is the difference between selling a tracking subscription and selling an analytics service on top of it. When an enterprise customer asks for a report nobody anticipated, the answer is a query rather than a roadmap — and the margin on that work stays with you.