What is LedisDB?
It is a high-performance NoSQL database library and server written in Go. It's similar to Redis but store data in disk. It supports many data structures including kv, list, hash, zset, set.
It now supports multiple different databases as backends.
LedisDB is a tool in the Databases category of a tech stack.
LedisDB is an open source tool with 4.1K GitHub stars and 437 GitHub forks. Here’s a link to LedisDB's open source repository on GitHub
Who uses LedisDB?
Developers
LedisDB's Features
- Rich data structure: KV, List, Hash, ZSet, Set
- Data storage is not limited by RAM
- Various backends supported: LevelDB, goleveldb, RocksDB, RAM
- Supports Lua scripting
- Supports expiration and TTL
- Can be managed via redis-cli
- Easy to embed in your own Go application
- HTTP API support, JSON/BSON/msgpack output
- Replication to guarantee data safety
LedisDB Alternatives & Comparisons
What are some alternatives to LedisDB?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web