# Geospatial Queries Are up to 38X Faster with Lakehouse//RT

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-10-15T17:31:02.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 130/100  
> **Primary Source:** [Databricks](https://www.databricks.com/blog/geospatial-queries-are-38x-faster-lakehousert)  
> **Canonical Citation:** [https://spidits.com/timeline/geospatial-queries-are-up-to-38x-faster-with-lakehouse-rt](https://spidits.com/timeline/geospatial-queries-are-up-to-38x-faster-with-lakehouse-rt)

## Executive Summary
Spatial SQL and spatial joins now run on Lakehouse//RT and they're up to 38X faster.

## Why It Matters (Strategic Analysis)
Eliminating dedicated PostGIS operational databases for spatial queries allows data teams to run sub-second spatial joins directly on lakehouse table formats. This consolidates spatial OLAP and OLTP workloads into a unified storage layer, eliminating complex sync pipelines and duplicate data governance boundaries.

## Referenced Coverage & Sources
- **[Databricks](https://www.databricks.com/blog/geospatial-queries-are-38x-faster-lakehousert)**: Geospatial queries are up to 38X faster with Lakehouse//RT — _Spatial SQL and spatial joins now run on Lakehouse//RT and they're up to 38X faster..._

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*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*