awesome-repositories.com
博客
MCP
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目MCP 服务器关于排名机制媒体报道
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 个仓库

Awesome GitHub RepositoriesQueryable JSON Stores

Storage systems that index JSON fields to accelerate complex data retrieval.

Distinct from JSON Document Stores: Distinct from JSON Data Stores: focuses on queryable, indexed JSON storage within a database engine rather than simple file-based storage.

Explore 2 awesome GitHub repositories matching part of an awesome list · Queryable JSON Stores. Refine with filters or upvote what's useful.

Awesome Queryable JSON Stores GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • hazelcast/hazelcasthazelcast 的头像

    hazelcast/hazelcast

    6,570在 GitHub 上查看↗

    Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

    Saves JSON values with embedded metadata to accelerate queries, or as raw strings to reduce memory and processing overhead.

    Javabig-datacachingdata-in-motion
    在 GitHub 上查看↗6,570
  • kuzudb/kuzukuzudb 的头像

    kuzudb/kuzu

    3,965在 GitHub 上查看↗

    Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di

    Models and persists properties as native JSON types within graph nodes, allowing for direct querying and manipulation.

    C++cypherdatabaseembeddable
    在 GitHub 上查看↗3,965
  1. Home
  2. Part of an Awesome List
  3. Databases & Data
  4. JSON and Data Parsing
  5. JSON Data Stores
  6. Queryable JSON Stores

探索子标签

  • JSON Property SupportNative storage and querying of JSON objects as properties within graph nodes and relationships. **Distinct from Queryable JSON Stores:** Distinct from Queryable JSON Stores: focuses on JSON as a property type within a graph model rather than a standalone document store.