What is Dragonfly?
It is a modern in-memory datastore, fully compatible with Redis and Memcached APIs. It implements novel algorithms and data structures on top of a multi-threaded, shared-nothing architecture. As a result, Dragonfly reaches x25 performance compared to Redis and supports millions of QPS on a single instance.
Dragonfly is a tool in the In-Memory Databases category of a tech stack.
Dragonfly is an open source tool with 25.8K GitHub stars and 950 GitHub forks. Here’s a link to Dragonfly's open source repository on GitHub
Who uses Dragonfly?
Companies
Developers
8 developers on StackShare have stated that they use Dragonfly.
Dragonfly's Features
- Robust and ultra fast in-memory datastore
- Fully compatible with Redis and Memcached
- Engineered to hide all complexities behind the scenes allowing you to avoid working with complex cluster configurations
- Optimized to utilize all hardware resources to deliver the same workloads at a fraction of the costs
- Utilizes state of the art academic algorithms to provide strict serializability guarantees in a multi-threaded architecture
- Memory efficient
Dragonfly Alternatives & Comparisons
What are some alternatives to Dragonfly?
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
Related Comparisons
No related comparisons found