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Learn MorePros of Kue
Pros of RabbitMQ
Pros of Redis
Pros of Kue
- Simple2
Pros of RabbitMQ
- It's fast and it works with good metrics/monitoring235
- Ease of configuration80
- I like the admin interface60
- Easy to set-up and start with52
- Durable22
- Standard protocols19
- Intuitive work through python19
- Written primarily in Erlang11
- Simply superb9
- Completeness of messaging patterns7
- Reliable4
- Scales to 1 million messages per second4
- Better than most traditional queue based message broker3
- Distributed3
- Supports MQTT3
- Supports AMQP3
- Clear documentation with different scripting language2
- Better routing system2
- Inubit Integration2
- Great ui2
- High performance2
- Reliability2
- Open-source2
- Runs on Open Telecom Platform2
- Clusterable2
- Delayed messages2
- Supports Streams1
- Supports STOMP1
- Supports JMS1
Pros of Redis
- Performance886
- Super fast542
- Ease of use513
- In-memory cache444
- Advanced key-value cache324
- Open source194
- Easy to deploy182
- Stable164
- Free155
- Fast121
- High-Performance42
- High Availability40
- Data Structures35
- Very Scalable32
- Replication24
- Great community22
- Pub/Sub22
- "NoSQL" key-value data store19
- Hashes16
- Sets13
- Sorted Sets11
- NoSQL10
- Lists10
- Async replication9
- BSD licensed9
- Bitmaps8
- Integrates super easy with Sidekiq for Rails background8
- Keys with a limited time-to-live7
- Open Source7
- Lua scripting6
- Strings6
- Awesomeness for Free5
- Hyperloglogs5
- Transactions4
- Outstanding performance4
- Runs server side LUA4
- LRU eviction of keys4
- Feature Rich4
- Written in ANSI C4
- Networked4
- Data structure server3
- Performance & ease of use3
- Dont save data if no subscribers are found2
- Automatic failover2
- Easy to use2
- Temporarily kept on disk2
- Scalable2
- Existing Laravel Integration2
- Channels concept2
- Object [key/value] size each 500 MB2
- Simple2
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Cons of Kue
Cons of RabbitMQ
Cons of Redis
Cons of Kue
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Cons of RabbitMQ
- Too complicated cluster/HA config and management9
- Needs Erlang runtime. Need ops good with Erlang runtime6
- Configuration must be done first, not by your code5
- Slow4
Cons of Redis
- Cannot query objects directly15
- No secondary indexes for non-numeric data types3
- No WAL1
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- No public GitHub repository available -
What is Kue?
Kue is a feature rich priority job queue for node.js backed by redis. A key feature of Kue is its clean user-interface for viewing and managing queued, active, failed, and completed jobs.
What is RabbitMQ?
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
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.
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Jobs that mention Kue, RabbitMQ, and Redis as a desired skillset
What companies use Kue?
What companies use RabbitMQ?
What companies use Redis?
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What tools integrate with Kue?
What tools integrate with RabbitMQ?
What tools integrate with Redis?
What tools integrate with Kue?
No integrations found
What tools integrate with RabbitMQ?
What tools integrate with Redis?
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What are some alternatives to Kue, RabbitMQ, and Redis?
Bull
The fastest, most reliable, Redis-based queue for Node.
Carefully written for rock solid stability and atomicity.
Celery
Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
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.