Redis

28K
19.2K
+ 1
3.8K
ZeroMQ

187
341
+ 1
61
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Redis vs ZeroMQ: What are the differences?

Developers describe Redis as "An in-memory database that persists on disk". Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets. On the other hand, ZeroMQ is detailed as "Fast, lightweight messaging library that allows you to design complex communication system without much effort". The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Redis and ZeroMQ are primarily classified as "In-Memory Databases" and "Message Queue" tools respectively.

"Performance" is the top reason why over 842 developers like Redis, while over 17 developers mention "Fast" as the leading cause for choosing ZeroMQ.

Redis and ZeroMQ are both open source tools. It seems that Redis with 37.4K GitHub stars and 14.4K forks on GitHub has more adoption than ZeroMQ with 5.34K GitHub stars and 1.57K GitHub forks.

Airbnb, Uber Technologies, and Instagram are some of the popular companies that use Redis, whereas ZeroMQ is used by Binary.com, GrowSumo, and indico. Redis has a broader approval, being mentioned in 3264 company stacks & 1786 developers stacks; compared to ZeroMQ, which is listed in 35 company stacks and 12 developer stacks.

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What is Redis?

Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.

What is ZeroMQ?

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.
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What are some alternatives to Redis and ZeroMQ?
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
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.
RabbitMQ
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
Hazelcast
With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
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