Need advice about which tool to choose?Ask the StackShare community!

Redis

57.3K
43.2K
+ 1
3.9K
ZeroMQ

254
567
+ 1
71
Add tool

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.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Redis
Pros of ZeroMQ
  • 884
    Performance
  • 541
    Super fast
  • 512
    Ease of use
  • 443
    In-memory cache
  • 323
    Advanced key-value cache
  • 193
    Open source
  • 182
    Easy to deploy
  • 164
    Stable
  • 155
    Free
  • 121
    Fast
  • 42
    High-Performance
  • 40
    High Availability
  • 34
    Data Structures
  • 32
    Very Scalable
  • 24
    Replication
  • 22
    Pub/Sub
  • 22
    Great community
  • 19
    "NoSQL" key-value data store
  • 15
    Hashes
  • 13
    Sets
  • 11
    Sorted Sets
  • 10
    Lists
  • 9
    BSD licensed
  • 9
    NoSQL
  • 8
    Integrates super easy with Sidekiq for Rails background
  • 8
    Async replication
  • 8
    Bitmaps
  • 7
    Open Source
  • 7
    Keys with a limited time-to-live
  • 6
    Lua scripting
  • 6
    Strings
  • 5
    Awesomeness for Free
  • 5
    Hyperloglogs
  • 4
    Written in ANSI C
  • 4
    LRU eviction of keys
  • 4
    Networked
  • 4
    Outstanding performance
  • 4
    Runs server side LUA
  • 4
    Transactions
  • 4
    Feature Rich
  • 3
    Performance & ease of use
  • 3
    Data structure server
  • 2
    Object [key/value] size each 500 MB
  • 2
    Simple
  • 2
    Scalable
  • 2
    Temporarily kept on disk
  • 2
    Dont save data if no subscribers are found
  • 2
    Automatic failover
  • 2
    Easy to use
  • 2
    Existing Laravel Integration
  • 2
    Channels concept
  • 23
    Fast
  • 20
    Lightweight
  • 11
    Transport agnostic
  • 7
    No broker required
  • 4
    Low level APIs are in C
  • 4
    Low latency
  • 1
    Open source
  • 1
    Publish-Subscribe

Sign up to add or upvote prosMake informed product decisions

Cons of Redis
Cons of ZeroMQ
  • 15
    Cannot query objects directly
  • 3
    No secondary indexes for non-numeric data types
  • 1
    No WAL
  • 5
    No message durability
  • 3
    Not a very reliable system - message delivery wise
  • 1
    M x N problem with M producers and N consumers

Sign up to add or upvote consMake informed product decisions

- No public GitHub repository available -

What is 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.

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.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Redis?
What companies use ZeroMQ?
See which teams inside your own company are using Redis or ZeroMQ.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Redis?
What tools integrate with ZeroMQ?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

Nov 20 2019 at 3:38AM

OneSignal

PostgreSQLRedisRuby+8
9
4541
Jun 6 2019 at 5:11PM

AppSignal

RedisRubyKafka+9
16
1588
GitHubDockerReact+17
38
35385
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.
See all alternatives