07-16, 14:00–14:30 (Europe/Sarajevo), CA01
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
Assign a number between 1 and 3 indicating the level of technical complexity of your contribution. –2 - background knowledge helpful
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/guide/en/elasticsearch/reference/current/esql-functions-operators.html#esql-spatial-functions
Data processing and analysis, State of software, or new features
I make my conference contribution available under the CC BY 4.0 license. The conference contribution comprises the abstract, the text contribution for the conference proceedings, the presentation materials as well as the video recording and live transmission of the presentation – yes
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.