The Honeycomb Blog

This tutorial walks through creating a data model for a delivery company, going beyond traditional methods and incorporating location data for greater insights into delivery performance.

H3 doesn't solve every geospatial problem, but for point-based events (common in the mobility & last-mile delivery industries), it allows location data to be easily integrated and used within existing business intelligence (BI) systems and processes

Honeycomb for Snowflake combines Honeycomb’s cutting-edge location data visualization with Snowflake’s industry-leading scale, security, and geospatial features.

This tutorial shows how to retrieve location data about parcel lockers from OpenStreetMap and process it with DuckDB

Geospatial indexing is a powerful technique that serves a variety of purposes like accelerating database retrieval, facilitating spatial joins, enabling data aggregations, and enhancing visualizations.

Geospatial analysis tools have historically been limited to GIS experts, however, with new technologies, tools like Honeycomb enable business users to interact with spatial data interactively.