Streaming building blocks support real-time decision making via synthesis of multi-source data feeds.

System administrators can control an enterprise's access/data control policies, processes, governance, and procedures over various hosting profiles to exceed industry standards and audit compliance requirements.

ETL Notebooks support both no code user interfaces and automatable machine readable APIs for rapid data cleansing, enrichment and automation. ETL building blocks enable users to unify data from multiple federated sources, create flexible end-to-end workflows and automate ETL into production to conduct data science at scale.

Analytic functions include advanced graph, track, temporal and geospatial libraries. Users can create Activity Based Intelligence models that automate decision making from streaming data.

The distributed multi-model database works with reusable building blocks suitable for the rapid creation of high performance mission critical enterprise applications. This architecture supports heterogeneous data that may require a combination of spatial and graph data as well as relational and bulk file or object data.

Machine learning building blocks provide the capability to support in-house data science models and rapid ML-Ops production life cycles with secure orchestration of data science frameworks.

Enable no-code application creation through the utilization of a UI component library allowing intuitive product creation. Dashboard building blocks contain hundreds of UI components including maps, charts, graphs, and KPIs with support for interactive dashboards with live data editing.

Task management capabilities enable orchestration of global-scale activity based intelligence across heterogeneous data collection systems including terrestrial, airborne and space based systems.

Real-time save, share, and publish capability enables interactive collaboration on dashboard/application development and governance workflows. Provide publishing and approval processes in a governed templatable workflow with rapid self service capabilities for efficient collaboration.

MapLarge provides enterprises with an end to end solution to develop visual applications that harness voluminous geospatial data to provide insights and automated decisions. High Performance Multi-Model Visual Analytics enable rapid geospatial applications to be built with unprecedented performance, integration and agility.

Alerts produce actionable intelligence from an alerting framework, supporting human and machine workflow automation of enterprise activities in many forms including text, email, mobile in-App, and machine-to-machine.

MapLarge’s open APIs, software development kits (SDK), and application development kits (ADK) provide multiple integration channels to extend platform capabilities. MapLarge enables this with no code,low code, and full stack integration points tailored to stakeholders of different skill levels.