Geospatial Trajectory Data Management Platform
MobilityDB powers next-gen spatial intelligence and transport analytics where traditional databases fall short.
MobilityDB’s advanced temporal-geospatial capabilities offered through our exclusive reseller partnership deliver real-time trajectory tracking and analytics to optimize transport networks, analyze moving assets, and streamline location data processing.
Native PostgreSQL & PostGIS Integration
Built as a seamless extension to PostgreSQL and PostGIS, MobilityDB natively adds temporal geometry and geography types without requiring complex external systems or data migration.
Key Benefits
- Leverages existing PostgreSQL reliability, tooling, and database infrastructure.
- Extends PostGIS with native moving object data types (
tgeompoint,tgeogpoint). - Seamless compatibility with standard database workflows and SQL pipelines.
Compact & Efficient Geospatial Trajectory Storage
Designed to compress continuous location streams, MobilityDB replaces millions of disjointed GPS rows with unified temporal sequences, drastically reducing database footprint and I/O overhead.
Key Benefits
- Lossless compression for massive streams of GPS and smartphone location data.
- Significantly reduced storage costs compared to raw point-by-point records.
- Faster disk reads and optimized memory utilization during heavy analytical queries.
Rich Spatio-Temporal & Mobility Analytics
Features an extensive suite of built-in functions to instantly calculate speed, heading, distance, topological relationships, and time-window intersections directly within SQL.
Key Benefits
- Out-of-the-box support for complex spatio-temporal joins and trajectory operations.
- Rapid calculation of velocity, acceleration, and direction over time.
- Eliminates the need to export raw data to external frameworks for heavy spatial computation.
OGC Moving Features Compliance & Open Ecosystem
Fully compliant with Open Geospatial Consortium (OGC) Moving Features standards, ensuring open-source interoperability and vendor-lock-free integration across enterprise GIS pipelines.
Key Benefits
- Standardized data formats for cross-platform data exchange.
- Backed by an active global developer and research ecosystem.
- Dockerized containers available for rapid environment setup.
High-Performance SQL Querying & Scalability
Combines temporal indexing with optimized SQL execution plans, allowing analysts to run complex trajectory queries across millions of moving objects with minimal latency.
Key Benefits
- Full SQL interface for intuitive, accessible query writing.
- Instant retrieval of object locations at any specific timestamp or temporal interval.
- Scales smoothly from single-server deployments to enterprise cloud databases.
Impact Of Using MobilityDB
With MobilityDB, organizations gain actionable visibility into movement dynamics enabling data-driven decisions for urban transport, fleet operations, and spatial analytics.
Our solution enables organization to:
Natively manage spatial-temporal data directly inside PostgreSQL without custom middleware.
Perform complex spatio-temporal calculations using familiar, intuitive SQL syntax.
Optimize storage and compute resources through specialized temporal indexing and compression.
Easily connect with Python adapters, GIS tools, and containerized deployments.
Process high-throughput vehicle, flight, and pedestrian trajectories with minimal latency.
Our Comprehensive Usecases
Public Transit & Route Optimization
Analyze historical bus and tram trajectories to optimize public transport routes, adjust timetables, and reduce urban traffic congestion.
Aviation & Maritime Fleet Tracking
Ingest and analyze real-time and historical ADS-B flight data or AIS maritime streams to trace vessel paths, detect deviations, and optimize airspace routes.
Location - Based Digital Advertising
Combine taxi-top and digital billboard locations with moving pedestrian and vehicle flows to calculate dynamic ad impressions and targeted placements.
Epidemic & Proximity Contact Tracing
Intersect spatio-temporal paths of individuals to identify proximity events and model exposure risks during health emergencies.