For other industries or use cases, contact us to discuss your requirements
Process geospatial data quickly and flexibly for real-time analysis and operational workflows.
Qarta™ combines GeoServer Cloud, PostgreSQL/PostGIS, and Kubernetes-native orchestration to process geospatial data at scale, deliver standards-based map services, and expose structured spatial operations through application-ready interfaces. It is built to support real-time analysis, integration across systems, and reproducible geospatial workflows.
Built on Kubernetes, GeoServer Cloud microservices, and PostgreSQL/PostGIS, Qarta™ enables independent scaling of rendering, querying, and processing components for flexible, resilient deployments.
Acts as an API-first geospatial layer between data and applications, providing access to spatial processing, queries, and map services through consistent, integration-ready interfaces.
Engineered for large-scale workloads, Qarta™ distributes geospatial processing across nodes with load balancing and horizontal scaling, supporting high request volumes and low-latency responses.
Supports vector and raster data through OGC-aligned services including WMS, WFS, WCS, and tiled endpoints, ensuring interoperability across geospatial tools and platforms.
Connects to operational databases, object storage, and ingestion pipelines to support repeatable geospatial workflows from data ingestion and processing to publishing and analysis.
Integrates with front-end applications like Graph and downstream systems including BI platforms, dashboards, and operational tools. Optional MCP server integration enables controlled access to Qarta through AI agents and interfaces.
Supports JWT authentication, OAuth2/OIDC integration, and role-based access control with workspace and layer-level permissions for consistent, secure access management.
Provides visibility into system usage, processing activity, and service performance, enabling teams to monitor, manage, and optimize geospatial operations.
Supports versioned configuration, GitOps workflows, and automated deployment pipelines using tools like ArgoCD, enabling reproducible releases and structured change management.
Designed for cloud, hybrid, and customer-managed environments, enabling teams to deploy and operate geospatial services in line with their infrastructure strategy.
Processes high volumes of data at scale, delivering insights in seconds instead of hours or days.
faster with one layer and up to 16,000x faster with three layers compared with traditional GIS vendors.
* Based on current benchmarks
manual intervention through automated geoprocessing workflows.
Auto-scales for peak loads and scales down for routine analytics.
Supports cloud-agnostic enterprise deployments with 99.9% availability.
Supports WMS, WFS, WCS, and WPS across 2D and 3D maps.
Versioned configurations and deployment workflows support consistent releases and controlled changes across environments.
Turns raw geospatial inputs into immediate outputs visualized in applications, dashboards, and analytical tools.
Zero DowntimeFlat rate pricingKubernetes-native SaaS (any cloud)Extremely fast processing powerHorizontal pod scalingREST API + Swagger
No built-in failoverOpaque enterprise licensesVM-based, hardware-heavyProcessing failureVertical scaling limitsComplex proprietary APIsZero DowntimeNo built-in failoverFlat rate pricingOpaque enterprise licensesKubernetes-native SaaS (any cloud)VM-based, hardware-heavyExtremely fast processing powerProcessing failureHorizontal pod scalingVertical scaling limitsREST API + SwaggerComplex proprietary APIs
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Automate geospatial publishing and lifecycle management within Kubernetes. The GeoServer Kubernetes Operator manages deployments, updates, and operational changes through a controlled and auditable workflow, improving reliability and repeatability at scale.
Watch this video or read the blog to see how the Quarticle GeoServer K8s Operator streamlines your geospatial deployment.
“Quarticle’s geospatial intelligence platform allowed us to harmonize our application landscape. We can now manage all geospatial workflows centrally, driving efficiency and effectiveness across our underwriting operations. Providing our customers and brokers with significantly faster, higher-quality services not only reduces operating costs, improves underwriting decisions, and increases margins - it also enables us to deliver a best-in-class experience to our users.”
Run cloud-native workflows for analysis, publishing, and integration.
