Transwarp Data Hub
Transwarp Data Studio
Transwarp Sophon
Transwarp Data Cloud
Transwarp ArgoDB
Transwarp KunDB
TxData (ARM)
TxData (x86)
TxIRA
Transwarp Spacture
Spatiotemporal Database
Support storage and computing of large-scale vector data and spatiotemporal trajectory data
Product Introduction
Transwarp Space is a spatiotemporal database independently developed by Transwarp. It supports the storage and computing of large-scale vector data and spatiotemporal trajectory data, and has complete data query, analysis and mining capabilities. It can be used for spatiotemporal trajectory data analysis scenarios such as spatiotemporal query analysis, spatiotemporal pattern mining, and spatiotemporal trajectory clustering. Spacture has been widely used in epidemic prevention and control, transport and logistics, urban management, location services and other scenarios.
Large-scale Spatial Data Storage and Computing
OpenGIS standard specification
Follow OpenGIS standard specification, support the spatial relationship query defined by OGC standard
Multiple spatial aggregation analysis
Provide a variety of spatial aggregation analysis, support heat map; support spatial similarity/nearest neighbor query
POI universal search
Support POI universal search, keyword/region search
Professional data management
Support meteorological professional-level data management with weather-related plug-ins
Large-scale Spatiotemporal Trajectory Storage and Computing
Lowerthe trajectory analysis threshold
Complete various operations on trajectory data through SQL, lower trajectory analysis threshold
Native trajectory data type
Efficient representation of various moving objects in the real world
Support OGC standard analysis functions
Realize OGC Moving Object Feature standard and provide rich trajectory-related analysis functions
Spatiotemporal topological relationship query
Support common spatiotemporal topological relationship queries
Support trajectory similarity
Integrate multiple dimensions such as time/space/motion features, and provide multiple trajectory similarity algorithms for different scenarios
Provide common trajectory processing functions
Support processing methods such as trajectory noise reduction/segmentation/compression; support stop point analysis
Support computing map based on trajectory data
Use trajectory data to extract road network geometry and topology information, and automatically construct road network
Support trajectory clustering
Obtain representative paths or common tendency behaviors through different moving objects
Product Advantages
Native spatial
Native spatial/spatiotemporal data types, with specific optimizations for spatial/spatiotemporal data
Compatible with OGC standards
Compatible with OGC standards, provide rich analysis functions, and have complex analysis and mining capabilities
SQL support
Support SQL, complete spatial analysis and trajectory analysis based on SQL, and reduce the product using threshold
Compatible with PostgreSQL
Compatible with PostgreSQL, the mechanism based on PostgreSQL plugin supports space/spatiotemporal related scenarios
Application Scenarios
City management
Through trajectory data mining to find the hidden knowledge, explore the deep-level urban dynamics mechanism, and provide auxiliary means for solving major social problems such as urban traffic, urban environment, and emergency response
Transport and logistics
Through trajectory data analysis to deeply understand the characteristics of traffic conditions and the evolution pattern of congestion, and comprehensively use multi-dimensional information such as historical events, time and space, activities, and weather to assist in the construction of a data-driven urban traffic management system
Mapping and remote sensing
Provide native model support for raster data, effectively support the storage, query and basic analysis and processing capabilities of large-scale remote sensing image data and raster data
Transwarp, Shaping the Future Data World
