2 个仓库
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.
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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.
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.