Ingest, Process & Visualize Real-Time Geospatial Streams

Connect sensors, satellites, IoT devices, and live feeds to your maps in under 50ms. Process millions of spatial events per second with auto-scaling infrastructure.

Start Streaming Free → View API Reference

📡 Live Stream — North America Region

LIVE

14.2K

Events/sec

37ms

Avg Latency

99.99%

Uptime

14:32:01 Sensor #4821 — GPS coordinate update 40.7128°N

14:32:01 Satellite pass — Landsat-9 imagery ingest 12.4 MB

14:32:02 Alert — Sea level anomaly detected +2.4m

14:32:02 Fleet tracker #119 — route deviation 73.5 km/h

14:32:03 Weather station WX-0847 — temp update 24.1°C

14:32:03 Critical — Wildfire detection zone 12B ALERT

\n Core Capabilities

Built for High-Velocity Spatial Data

Every feature engineered for throughput, low latency, and geospatial accuracy.

⚡

Sub-50ms Latency

End-to-end data ingestion to visualization in under 50 milliseconds. Optimized binary protocols and edge-cached spatial indexes.

Performance

📡

Multi-Protocol Ingestion

Accept data via WebSockets, MQTT, Kafka, NMEA, OGC SensorThings API, and custom TCP/UDP streams simultaneously.

Compatibility

🗺️

Live Layer Rendering

Stream events directly onto WMS/WMTS layers. Auto-tiled, dynamically styled vector and raster maps update in real time.

Visualization

🔄

Auto-Scaling Compute

Horizontal scaling triggered by event volume. Go from 100 to 10M events/sec without manual intervention or config changes.

Infrastructure

🔔

Spatial Alerting Engine

Define geofenced rules, proximity triggers, and statistical anomaly detection. Instant webhooks, SMS, or email on match.

Alerting

💾

Hot/Warm/Cold Storage

Automated data lifecycle management. Hot data in-memory, warm on SSD, cold to object storage. Full temporal query support.

Storage

Workflow

From Data Source to Live Map in 4 Steps

A streamlined pipeline designed for rapid deployment and minimal configuration.

Connect Your Source

Link sensors, APIs, satellite feeds, Kafka topics, or file streams using our pre-built connectors.

Define Ingestion Rules

Set coordinate systems, filter criteria, transformation pipelines, and data enrichment rules.

Configure Live Layers

Map your stream to WMS layers, choose styling, set tile caching, and define real-time update intervals.

Deploy & Monitor

Go live with one click. Monitor throughput, latency, and errors through our real-time dashboard.

Architecture

How the Streaming Pipeline Works

A distributed, fault-tolerant architecture built for geospatial data at scale.

📡

Data Sources

Sensors, APIs, Kafka, MQTT

→

🚪

Ingestion Gateway

Auth, Schema Validation, Rate Limit

→

⚙️

Processing Engine

Transform, Enrich, Geocode

→

🗄️

Spatial Store

H3 Index, Time-Series DB

→

🗺️

Map Renderer

WMS / WFS / Tile Server

→

👁️

Client Dashboards

Web, Mobile, Embedded

Use Cases

Powering Real-Time Decisions

See how organizations across industries leverage GeoServer streaming.

🚒

Emergency Response & Disaster Management

Track fire perimeters, flood levels, and evacuation routes in real time. Coordinate response teams with live asset positioning and hazard zone mapping.

🚚

Fleet & Logistics Tracking

Monitor thousands of vehicles simultaneously with live ETA calculations, route optimization, and geofence-based arrival notifications.

🌦️

Environmental & Climate Monitoring

Ingest satellite imagery, weather station data, and ocean buoy feeds to create live dashboards for climate researchers and policy makers.

🏙️

Smart City Infrastructure

Monitor traffic flow, air quality sensors, parking availability, and public transit systems with unified geospatial streaming pipelines.

Technical Specifications

Performance That Scales

Benchmarked metrics from our production clusters.

📊 Throughput & Latency

Max Ingestion Rate 2M events/sec

Avg. End-to-End Latency 37ms

P99 Latency 92ms

Batch Window 256ms

Tile Render Rate 50K tiles/sec

🔧 Infrastructure

Protocols Supported WebSocket, MQTT, Kafka, TCP

OGC Standards WMS, WFS, WCS, SensorThings

Coordinate Systems EPSG 4326, 3857, 3260–3296+

Data Formats GeoJSON, Protobuf, NMEA, Shapefile

Uptime SLA 99.99%

Developer Experience

Start Streaming in Minutes

Simple, well-documented APIs and SDKs for every major language. Get from zero to live maps with just a few lines of code.

Read API Docs → View SDKs

                    
                    
                    
                    stream_client.py
                

# Install: pip install geoserver-streaming

from geoserver import StreamClient

# Initialize the streaming client
client = StreamClient(
    api_key="gs_live_xxxxxxxx",
    region="us-east-1",
)

# Define a spatial stream
stream = client.stream("fleet-tracking")

# Send real-time geospatial events
while True:
    event = read_sensor_data()
    stream.publish({
        "type": "Feature",
        "geometry": {
            "type": "Point",
            "coordinates": [event.lon, event.lat]
        },
        "properties": {
            "vehicle_id": event.id,
            "speed": event.speed,
            "timestamp": datetime.now().isoformat()
        }
    })
                

FAQ

Frequently Asked Questions

Answers to common questions about our real-time streaming platform.

GeoServer supports WebSocket, MQTT, Apache Kafka, NMEA (GPS), OGC SensorThings API, and raw TCP/UDP streams. We also provide SDKs for Python, JavaScript, Go, and Java, plus a REST API for custom integrations. You can ingest any data that can be serialized to GeoJSON or Protobuf with spatial coordinates.

Our pipeline uses in-memory processing with H3 hexagonal spatial indexing for fast lookups. Edge nodes process data near the source, while the core engine uses binary Protobuf serialization and batch-optimized tile rendering. Auto-scaling triggers at configurable throughput thresholds, ensuring consistent sub-50ms latency even at peak loads.

Yes. Our Enterprise plan supports fully on-premise, air-gapped deployments. The streaming engine can run on your Kubernetes cluster or bare-metal servers. We provide Helm charts, Docker images, and Terraform modules for infrastructure provisioning. All features including alerting, live layers, and the dashboard are available on-premise.

Data automatically transitions through hot → warm → cold storage tiers. Hot data (last 24 hours) stays in-memory for instant querying. Warm data (up to 90 days) is stored on high-performance SSDs. Cold data (1+ years) moves to cost-effective object storage. All tiers support temporal spatial queries through our unified API.

Define geofences using polygons, circles, or imported shapefiles. Our alerting engine evaluates every incoming event against your rules in real time. When a match is detected, you can trigger webhooks, SMS, email, or push notifications. Supports proximity alerts ("within X meters"), entry/exit events, and statistical anomaly detection based on historical baselines.