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Awesome GitHub RepositoriesGeospatial Data Structures
Specialized data structures and algorithms for storing, indexing, and querying location-based coordinates and spatial relationships.
Distinguishing note: This category focuses on the underlying data structures for spatial indexing, distinct from general-purpose database management.
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Awesome Geospatial Data Structures GitHub Repositories
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- dragonflydb/dragonfly
dragonflydb/dragonfly
30,022View on GitHubDragonfly is a high-performance, multi-model in-memory data store designed to serve as a drop-in replacement for existing database infrastructures. By utilizing a multi-threaded, shared-nothing architecture and a fiber-based concurrency model, it maximizes CPU utilization and minimizes latency for read and write operations. The system supports a wide range of data structures, including strings, hashes, lists, sets, sorted sets, and JSON documents, while maintaining full compatibility with standard industry wire protocols and client libraries. What distinguishes Dragonfly is its focus on effic
Provides efficient storage and querying of location coordinates to calculate distances and identify nearby points within the database.
C++cachecppdatabase
