3 dépôts
Strategies for distributing connection requests across multiple database server hosts.
Distinguishing note: None of the candidates cover server-side host distribution or load balancing for database connections.
Explore 3 awesome GitHub repositories matching data & databases · Database Host Distribution. Refine with filters or upvote what's useful.
This project is a MySQL database driver and client for Node.js. It provides a JavaScript implementation of the MySQL protocol to facilitate connecting to, querying, and managing data within MySQL databases. The driver includes a connection pool manager to maintain a cache of reusable database connections, reducing the overhead of frequent network handshakes. It also supports row-by-row result streaming to process large datasets without loading entire result sets into memory. Core capabilities cover SQL query execution, the management of database transactions, and the coordination of multiple
Distributes connection requests across multiple database hosts using strategies like Round-Robin or Random.
This project is a Kubernetes operator designed for deploying and managing production PostgreSQL database clusters using declarative configurations. It functions as a controller that synchronizes the actual state of database clusters with a desired state, providing a system for high availability orchestration, automated backup and recovery, and containerized database administration. The operator distinguishes itself through a comprehensive data protection suite that supports point-in-time recovery, multi-mode backups to cloud object storage, and cluster cloning. It ensures continuous availabil
Cloud-Native Backup Archiving uses affinity and topology constraints to prevent multiple database pods from landing on the same host.
Jazz is a local-first relational database and synchronization framework designed for offline-capable applications. It functions as a reactive state management system that treats database records as the primary source of truth, automatically updating user interfaces in real time as underlying data changes. The project distinguishes itself through a collaborative data synchronization model that utilizes row-level versioning to track branching edit histories. It implements a security engine based on identity-claim row security, which enforces granular permissions on individual records, and suppo
Spreads data across a fault-tolerant cloud system that scales resources based on actual usage.