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Beanstalkd vs Redis: What are the differences?
Introduction
Beanstalkd and Redis are both widely used message queue systems, but there are key differences between the two.
Storage: Beanstalkd is primarily a simple queue, with the messages being stored in memory until they are processed by a worker. Redis, on the other hand, is a data structure server that supports various data types, including lists and sets, and the messages can be stored in memory or on disk.
Message Priority: Beanstalkd does not have built-in support for message priority. All messages have equal priority and are processed in a first-in-first-out manner. In Redis, messages can be assigned different priorities using sorted sets, allowing for more complex message processing and ordering.
Message Persistence: Beanstalkd does not provide persistent storage by default. If the server goes down, the messages in the queue are lost. Redis, on the other hand, provides options for configuring persistence, allowing messages to be stored on disk and surviving server restarts.
Pub/Sub System: Redis has a built-in publish/subscribe system, allowing messages to be broadcasted to multiple subscribers. Beanstalkd does not have native support for pub/sub, although it can be emulated using multiple queues and workers.
Atomic Operations: Redis supports atomic operations on data structures, allowing multiple operations to be executed as a single unit. This makes it useful for building complex message processing workflows. Beanstalkd, however, does not support atomic operations, and each operation is executed individually.
Message Timeout: Beanstalkd allows messages to have a timeout value, after which they are automatically released back into the queue for reprocessing. Redis does not have a built-in timeout mechanism for messages, and handling message timeouts requires additional logic.
In Summary, Beanstalkd is a simple queue with no message priority, limited persistence, and no native pub/sub support. Redis, on the other hand, is a data structure server with support for message priority, persistence, pub/sub, atomic operations, and more complex message handling capabilities.
Pros of Beanstalkd
- Fast23
- Free12
- Does one thing well12
- Scalability9
- Simplicity8
- External admin UI developer friendly3
- Job delay3
- Job prioritization2
- External admin UI2
Pros of Redis
- Performance887
- Super fast542
- Ease of use514
- In-memory cache444
- Advanced key-value cache324
- Open source194
- Easy to deploy182
- Stable165
- Free156
- Fast121
- High-Performance42
- High Availability40
- Data Structures35
- Very Scalable32
- Replication24
- Pub/Sub23
- Great community22
- "NoSQL" key-value data store19
- Hashes16
- Sets13
- Sorted Sets11
- Lists10
- NoSQL10
- Async replication9
- BSD licensed9
- Integrates super easy with Sidekiq for Rails background8
- Bitmaps8
- Open Source7
- Keys with a limited time-to-live7
- Lua scripting6
- Strings6
- Awesomeness for Free5
- Hyperloglogs5
- Runs server side LUA4
- Transactions4
- Networked4
- Outstanding performance4
- Feature Rich4
- Written in ANSI C4
- LRU eviction of keys4
- Data structure server3
- Performance & ease of use3
- Temporarily kept on disk2
- Dont save data if no subscribers are found2
- Automatic failover2
- Easy to use2
- Scalable2
- Channels concept2
- Object [key/value] size each 500 MB2
- Existing Laravel Integration2
- Simple2
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Cons of Beanstalkd
Cons of Redis
- Cannot query objects directly15
- No secondary indexes for non-numeric data types3
- No WAL1