该项目是一个参考实现，为 Spring Data 生态系统中的数据访问模式和仓库抽象提供了大量实用示例。它作为一个全面的展示，用于在各种关系型和非关系型数据库中实现一致的数据层。
The main features of spring-projects/spring-data-examples are: Spring Boot Database Access, Polyglot Persistence Strategies, Repository Pattern Abstractions, Repository Patterns, Data Source Routing, Data Tenant Isolators, Store Routing, Unified Repository Abstractions.
Open-source alternatives to spring-projects/spring-data-examples include: apache/pinot — Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It… redis/redisinsight — RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis… redis/go-redis — This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive… tporadowski/redis — Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL… ravendb/ravendb — RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It… spring-projects/spring-data-elasticsearch — Spring Data Elasticsearch is a data access library that maps Java objects to Elasticsearch indices. It functions as an…
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis databases. It provides a visual environment for exploring key-value data structures, managing database instances, and performing data analysis across different operating systems and deployments. The tool distinguishes itself by providing dedicated visual managers for complex operations, including a vector database manager for configuring embeddings and similarity searches, a query workbench for executing raw commands and Lua scripts, and a performance monitoring dashboard for tracki
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
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