Kinetica is able to power real-time visualization and analytics of geospatial data in ArcGIS – on a massive scale, and without the wait.
On-Demand Webinar
Kinetica was built for fast analytics on large and streaming geospatial data. ArcGIS with Kinetica enables you to perform sophisticated analysis and visualization of spatio-temporal data without the wait.
Kinetica's lockless architecture, distributed ingestion, and vectorized query enable you to work with numerous sources of spatial and streaming data. Kinetica allows for simultaneous ingest and query, and avoids the need for constant re-indexing and re-aggregations as new data changes the picture.
Kinetica Architecture »Kinetica's lockless architecture, distributed ingestion, and vectorized query enable you to work with numerous sources of spatial and streaming data. Kinetica allows for simultaneous ingest and query, and avoids the need for constant re-indexing and re-aggregations as new data changes the picture.
Kinetica Architecture »Kinetica's lockless architecture, distributed ingestion, and vectorized query enable you to work with numerous sources of spatial and streaming data. Kinetica allows for simultaneous ingest and query, and avoids the need for constant re-indexing and re-aggregations as new data changes the picture.
Kinetica Architecture »"Kinetica outperformed PostGIS in every query and was the only database to pass all feasibility tests across geospatial, time-series, graph, and streaming."
Data can be visualized at virtually unlimited scale with Kinetica's Web Map Service (WMS)
One of the core challenges with displaying spatial information is moving data from the database layer to the visualization layer. Serializing and moving millions to billions of objects from one technology to another takes time.
But geospatial data stored in Kinetica can be rendered in-database, into a small WMS image layers, for display on top of basemaps with ArcGIS. This approach is blazing fast, even on massive datasets. With every pan and zoom on the map, Kinetica dynamically re-renders images using your live data source and sends them to the map.
Visualize and analyze different types of spatial data simultaneously. This feature is particularly useful for applications that require the integration of different types of spatial data.
Visualize and analyze different types of spatial data simultaneously. This feature is particularly useful for applications that require the integration of different types of spatial data.
Visualize and analyze different types of spatial data simultaneously. This feature is particularly useful for applications that require the integration of different types of spatial data.
Visualize and analyze different types of spatial data simultaneously. This feature is particularly useful for applications that require the integration of different types of spatial data.
Innovation through Integration
Kinetica now integrates easier with ArcGIS to bring together these complementary technologies to modernize IoT workloads. Data in Kinetica can be made available to ArcGIS through ArcGIS JDBC connector and through the ArcGIS Python API. Users can then use ArcGIS as a visual analytics environment with all the relevant functionality necessary to process, analyze, and display spatial data precisely and accurately.
Vectorization opens the door for fast analysis of large geospatial datasets
Download the white paper
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Cookie Policy
