Integrate, Service-Enable, and Apply Multi-Model Visual Analytics for Decision Making
The MapLarge Platform prioritizes performant geospatial workflows first, closely followed by other data representations, which provides users with “geospatially native” low latency spatial, temporal, graph, and semantic analytics and visualizations.
Access High Performance at the Platform's Core
MapLarge provides enterprises high performance geospatial infrastructure to develop low-latency applications for enterprise-scale data. High performance geospatial analytics is a principal design consideration and impractical to “bolt on” later in the product life cycle.
Enrich Data with Rapid Join Operations for Geospatial Context
The MapLarge Platform conflates dynamic enterprise GIS data with foundation/infrastructure data like addresses, roads, rivers, geographic boundaries, and other information at any scale. Local context is relevant to delivery and operations across supply chains for timing, selection, resilience, and dynamic routing. Provide publishing solutions that scale to millions of viewers with mission critical high availability.
Enhance Interpretive Analysis with Geospatial, Temporal, Logical, & Semantic Data Representation
The MapLarge multi-model database supports unstructured/semi-structured data warehouse/data lake type capabilities while also supporting real-time online streaming adding queries, distributed locking and rollback constraints, ACID transactions, and other relational database functionality. Multi-model database capabilities include: multi-model queries (geospatial, temporal, & graph), geospatial indexing, full text searches, geocoding and reverse geocoding, network graph, raster imagery and multi-projection coordinate system support.