Existing compute engines force you to manually catalog, shard, and mosaic your raster data for distributed compute and integration. This slows down your Data Science team, losing weeks to manual data preparation and awkward workarounds, instead of gaining insights and scaling capabilities.
Ellipsis Map Engine brings you map-native, distributed analysis to all your geospatial data types so you can run your workflows instantly, without the manual work.
Learn more about how the Ellipsis Map Engine works in this introduction video.
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Table engines aren’t designed for array-like raster data. Managing rasters this way has you waste weeks on clunky workarounds, sacrificing spatial integrity, context, and key relationships. On top of this, post-analysis results can’t be easily visualized or integrated into GIS systems, slowing down decision-making and delivery.
Complement your table engine (Databricks, Snowflake, Redshift, BigQuery) with Ellipsis Map Engine; a map-native data Lakehouse built for high-performance, distributed raster analytics. Get your compute power optimized for raster workflows. Fast insights. For every data type.
Download the whitepaper to join forward-thinking
organizations transforming spatial analytics.