2025-07-16 –, CA01 (TomTom)
Elasticsearch has long offered powerful geospatial capabilities, yet it remains underutilized by the open-source GIS community. Two major developments in the past year are changing this. First, Elasticsearch returned to an approved open-source license, reigniting interest among developers. More significantly, the introduction of ES|QL, a declarative query language, has paved the way for OGC-like geospatial functions. This shift makes Elasticsearch feel more familiar to users of tools like PostGIS.
In this talk, we’ll explore the current capabilities of Geospatial ES|QL, demonstrate real-world geospatial search and analytics, and provide a glimpse into future developments that will further enhance Elasticsearch as a geospatial database.
Elasticsearch
Give indication of resources (video, web pages, papers, etc.) to read in advance, that will help get up to speed on advanced topics.:https://www.elastic.co/search-labs/blog/series/elasticsearch-geospatial-search
https://www.elastic.co/search-labs/blog/geospatial-data-ingest-for-esql
https://www.elastic.co/search-labs/blog/esql-geospatial-distance-search
https://www.elastic.co/guide/en/elasticsearch/reference/current/esql-functions-operators.html#esql-spatial-functions
I am an open-source software developer, technology enthusiast, and entrepreneur working on a variety of projects, primarily focused on big data analytics and data modeling—especially when GIS, search, or graph components are involved. I work at Elastic as a principal developer of Elasticsearch, specializing in Geospatial ES|QL within the Analytics Engine team.