Discover how CrateDB unifies multi-model data handling for real-time, AI-powered analytics and simplifies complex data management in one platform. CrateDB revolutionizes AI-driven analytics by unifying multi-model data handling, enabling real-time operational and AI workloads in a single, scalable database platform.
The introduction of BKD-tree-based indexing has brought notable enhancements in query performance (both indexing and lookup), streamlined index configuration and minimized storage demands.
Explore the importance of geospatial databases for managing location-based data efficiently. Learn about key factors to consider when choosing a database.
Learn about the importance of geospatial data in decision-making and explore the top uses and benefits of geospatial data analytics.
Blog post on the basics of how to get a web user's location, place a pin on a map, and show them museums nearby using JavaScript.
In our last blogpost about Crate's spatial and geographic features we announced the support for the geo_point data type and related operations. Since that post, we have greatly improved our geographic features...
Crate provides a specific data type for scenarios where it is necessary to track and analyse geo coordinates.
