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 432 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.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.