3 个仓库
Synchronization of key-value entries across all cluster members for local access and recovery.
Distinct from Cross-Cluster Table Replication: Distinct from Cross-Cluster Table Replication: focuses on intra-cluster synchronization of all entries, not cross-cluster table replication.
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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
Synchronizes key-value entries across all cluster members to ensure high-speed local access and automatic data recovery.
本项目是一个 OpenLDAP 服务器的容器化部署方案,提供轻量级目录访问协议服务,用于存储和检索组织数据及用户凭据。它作为目录服务器,用于跨网络服务的身份管理和用户认证。 该服务支持创建 LDAP 复制集群,以保持跨多个主机的数据一致性,实现高可用性。它包括通过 TLS 加密和证书管理实现安全连接的功能,以保护传输过程中的敏感目录数据。 其他功能涵盖数据库管理,包括通过标准交换格式文件进行数据导入、通过卷映射实现持久化存储,以及自动备份和恢复流程。该系统还提供通过命令行界面管理目录条目以及通过环境变量配置服务器设置的工具。
Synchronizes directory entries across all cluster members to ensure local access and recovery.
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
Executes ACID-compliant writes across a cluster that are tolerant to network partitions.