HDT3213/godis

Features

• Key-Value Stores - Functions as a high-performance Redis-compatible key-value store for managing application state in memory.
• Redis Compatible Stores - Implements the Redis protocol to provide a high-performance, compatible in-memory key-value store.
• Distributed Key-Value Stores - Functions as a consistent and replicated distributed key-value store for high-throughput data management.
• Data Replication - Implements data replication mechanisms to synchronize data across nodes, ensuring high availability and durability.
• Disk Persistence - Persists in-memory data to non-volatile disk storage using append-only files and snapshots.
• Distributed Database Clusters - Uses a distributed database architecture to organize nodes into coordinated groups for horizontal scaling.
• Distributed Key-Value Sharding - Spreads key-value pairs across a cluster of nodes to enable distributed scaling and availability.
• Complex Data Structure Stores - Provides a high-performance in-memory store for complex types including hashes, sets, and lists.
• In-Memory State Management - Manages complex data structures and atomic transactions in volatile memory for low-latency state tracking.
• Primary-Replica Replication - Uses a primary-replica replication architecture to ensure high availability and read scalability across nodes.
• Write-Ahead Logging - Ensures data durability and crash recovery by recording every state change to a write-ahead log.
• Publish-Subscribe Messaging - Provides low-latency communication between distributed services through a publish-subscribe messaging model.
• Message Brokers - Acts as a message broker facilitating asynchronous communication and decoupling between distributed clients.
• Pub-Sub Messaging - Implements a real-time pub-sub message broker to decouple producers from consumers via channels.
• Data Sharding - Distributes data across multiple nodes using partitioning to scale throughput and capacity.
• Atomic Transactions - Allows grouping multiple commands into atomic transactions that either complete entirely or revert on failure.
• Point-in-Time Database Snapshots - Provides point-in-time recovery by periodically saving the entire in-memory dataset to binary snapshots.
• Key Expiration Management - Manages key expiration using time-to-live values to automatically purge expired data from memory.
• Atomic Transactions - Implements atomic transactions to ensure multiple operations execute as a single indivisible unit for data consistency.
• Geospatial Indexes - Provides geospatial indexing for efficient proximity-based queries and radius searches.
• Hash Map Storage - Stores hash maps that associate keys with field-value pairs for structured record representation.
• Ordered List Management - Implements ordered list management supporting push, pop, and trim operations at both ends.
• Geospatial Search - Enables search capabilities based on geographical coordinates and distance parameters.
• Sorted Sets - Supports sorted sets that store unique elements ordered by score for ranking and range retrieval.
• String Data Structures - Provides optimized storage and atomic operations for string and binary data.
• Unordered Unique Collection Management - Manages unordered collections of unique elements with support for set intersections, unions, and differences.
• Distributed Database Deployment - Provides automated provisioning of high-availability clusters consisting of coordinator and worker nodes.
• Caching Libraries - Redis-compatible server implementation.
• Database Engines - High-performance Redis-compatible server and cluster.
• Database Systems - Listed in the “Database Systems” section of the Awesome Go awesome list.
• Databases - High-performance Redis-compatible server and cluster.

Star history