6 repositorios
Query capabilities for finding data based on geographic distance.
Distinguishing note: No candidates provided; grouping under Data & Databases as it pertains to spatial queries.
Explore 6 awesome GitHub repositories matching data & databases · Proximity Queries. Refine with filters or upvote what's useful.
Payload is a headless content management system and application framework that uses a code-first approach to define data schemas and administrative interfaces. By utilizing a centralized, type-safe configuration object, it automatically generates database schemas, API endpoints, and a fully customizable admin panel. The system is built on a database-agnostic architecture, allowing it to interface with various storage engines while providing a unified, type-safe API for server-side operations, REST, and GraphQL. What distinguishes Payload is its deep extensibility and developer-centric design.
Queries documents based on proximity to coordinates with automatic distance-based sorting.
This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha
Calculates distances and finds data points within radius or bounding box constraints.
Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations
Finds members within a specific radius or bounding box and calculates the distance between coordinates.
Tile38 is an in-memory geospatial database that uses the Redis protocol for communication and query execution. It serves as a distributed spatial store for points and polygons, featuring high availability through leader-follower replication and disk-based persistence. The system includes a real-time geofencing engine that monitors virtual geographic boundaries and triggers webhooks when objects enter or exit specified areas. It further distinguishes itself with an embedded Lua scripting engine for server-side data transformations and a built-in vector tile server for efficient map visualizati
Enables real-time proximity searching to find the nearest objects or items within a specific radius.
Querydsl es un framework para la construcción de consultas con seguridad de tipos (type-safe). Utiliza una API fluida y generación de código basada en anotaciones para crear clases espejo a partir de modelos de dominio, permitiendo la validación en tiempo de compilación de consultas de base de datos y eliminando la necesidad de concatenación manual de cadenas. El proyecto proporciona una sintaxis de consulta unificada que se traduce en dialectos específicos para múltiples backends, incluyendo SQL, MongoDB, Lucene y JDO. Admite capacidades de consulta avanzadas como expresiones de tabla comunes, funciones de ventana, operaciones geoespaciales y subconsultas anidadas complejas. Más allá de la recuperación de datos, el framework cubre la ejecución de DML con seguridad de tipos para actualizaciones y eliminaciones masivas, así como el mapeo de resultados en Java Beans, constructores o tuplas. Incluye soporte para consultas de colecciones en memoria y se integra con el Spring Framework para la gestión de transacciones y el manejo de conexiones.
Implements geospatial query methods to locate documents based on proximity to specific coordinates.
RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind
Orders query results based on their calculated distance from a specific geographical point.