Explore new possibilities with precise geospatial data
From route planning and fleet management to supply chain and climate risk analysis, the requirements for geospatial data analytics are quickly outpacing the capabilities of legacy systems and other cloud data warehouses.
Across industries, spatiotemporal data can enhance analysis to create a wide range of new opportunities. With OcientGeo, customers can use a single repository to consolidate and query geospatial and non-geospatial datasets, gaining richer insights in near-real time.
As a native part of the Ocient Hyperscale Data Warehouse™, OcientGeo is designed to ingest, analyze, and store massive volumes of data quickly. When there’s no need to downsample or simplify geospatial datasets, you gain richer, more precise insights than ever.
With efficiency enhancing features like Compute Adjacent Storage Architecture™ and Zero Copy Reliability, Ocient systems deliver peak performance on massive, always-on geospatial datasets for up to 80% less than the competition.
Drive next-generation innovation
OcientGeo brings your spatiotemporal data to life, delivering fresh new insights at a scale and speed previously infeasible
OcientGeo is optimized for objects located anywhere on the globe including on, under, or over water.
Increase resolution on spatial data by up to 50x, leveraging up to 32 million embedded data points per object.
OcientGeo’s robust spatial index, paired with native support for more than 120 spatiotemporal functions based on the WGS84 standard, enables users to execute real-time analytics across trillions of objects.
The Ocient platform’s embedded extract, transform, and load (ETL) capabilities empower users to load high-resolution geospatial data and make it available for query in seconds.
OcientGeo enables users to leverage the power of OcientML™, bringing hyperscale machine learning to spatiotemporal data analytics, all on a single platform.
Open connectors to BI, mapping, and data science tools ensure your team can seamlessly tap into geospatial datasets to generate near-real time reports and models.