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Unlock New Insights with
Kinetica and ArcGIS

Esri’s ArcGIS is widely recognized as a powerful solution for creating, managing, and analyzing geospatial data. However, as the world embraces the Internet of Things (IoT) and data becomes more accessible across time and space, ArcGIS is limited. That's where Kinetica comes in. Meet Kinetica, an innovative database designed to handle large streaming databases with built-in powerful and fast spatial capabilities.
On-Demand Webinar

Unleash the Power of ArcGIS and Kinetica

Bridge the Gap Between GIS and Big Data Challenges. See firsthand how Kinetica handles real-time workloads on massive streaming datasets while providing lightning-fast visualization through WMS layers. See how to effortlessly process, analyze, and display spatial data with precision within the comprehensive visual analytics environment of ArcGIS

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Innovation Through Integration

Imagine endless possibilities that emerge when Kinetica and ArcGIS seamlessly integrate, eliminating the need for duplicating or aggregating data. Your expansive geospatial datasets no longer hinder your queries and analysis, but instead, become an integral part of your GIS, allowing you to unravel patterns, relationships, and anomalies quickly for immediate action.

Linda Stevens, former CMO at ESRI describes the possibilities in this post:
Unlock New Insights with Kinetica and ArcGIS

ArcGIS Markitecture

ArcGIS and Kinetica in Action

Organizations such as FAA, Ford, T-Mobile, and others are harnessing the power of Kinetica to tackle the most formidable spatial and time-series challenges. With Kinetica's innovative design, handling massive and streaming datasets becomes a breeze, even with billions of rows.

A demonstration of how to leverage Kinetica and ArcGIS to access multi-billion row datasets, perform analytics, and display the results on the map canvas.

Key Strengths of Kinetica


Extensive support for geo-joins like contain, within-a-distance, intersect, overlap, and more

Advanced Geospatial Analytics

Advanced geospatial analytic functions like st_, stxy_, entity tracks, and more.

Graph Capabilities

Graph matching and solving capabilities

Kafka integration

Native Kafka integration and distributed ingest for real-time processing

Web Mapping Service (WMS)

For server-side rendering of heatmaps, contours, tracks, unique value, and classbreaks on billions of records
Technology Report

Making Sense of Sensor Data

As sensor data grows more complex, legacy data infrastructure struggles to keep pace. A new set of design patterns to unlock maximum value. Get this complimentary report from MIT Technology Review:

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MIT Technology Review

Book a Demo!

The best way to appreciate the possibilities that Kinetica brings to high-performance real-time analytics is to see it in action.

Contact us, and we'll give you a tour of Kinetica. We can also help you get started using it with your own data, your own schemas and your own queries.