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Redis

50.9K
38.5K
+ 1
3.9K
Sequel Pro

303
335
+ 1
67
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Redis vs Sequel Pro: 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, Sequel Pro is detailed as "MySQL database management for Mac OS X". Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

Redis can be classified as a tool in the "In-Memory Databases" category, while Sequel Pro is grouped under "Database Tools".

"Performance" is the primary reason why developers consider Redis over the competitors, whereas "Free" was stated as the key factor in picking Sequel Pro.

Redis and Sequel Pro are both open source tools. Redis with 37.4K GitHub stars and 14.4K forks on GitHub appears to be more popular than Sequel Pro with 6.73K GitHub stars and 591 GitHub forks.

Airbnb, Uber Technologies, and Instagram are some of the popular companies that use Redis, whereas Sequel Pro is used by Movielala, Algorithmia, and Nano Solutions. Redis has a broader approval, being mentioned in 3261 company stacks & 1781 developers stacks; compared to Sequel Pro, which is listed in 46 company stacks and 23 developer stacks.

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Pros of Redis
Pros of Sequel Pro
  • 880
    Performance
  • 537
    Super fast
  • 510
    Ease of use
  • 441
    In-memory cache
  • 321
    Advanced key-value cache
  • 190
    Open source
  • 179
    Easy to deploy
  • 163
    Stable
  • 152
    Free
  • 120
    Fast
  • 40
    High-Performance
  • 39
    High Availability
  • 34
    Data Structures
  • 32
    Very Scalable
  • 23
    Replication
  • 20
    Pub/Sub
  • 20
    Great community
  • 17
    "NoSQL" key-value data store
  • 14
    Hashes
  • 12
    Sets
  • 10
    Sorted Sets
  • 9
    Lists
  • 8
    BSD licensed
  • 8
    NoSQL
  • 7
    Integrates super easy with Sidekiq for Rails background
  • 7
    Async replication
  • 7
    Bitmaps
  • 6
    Keys with a limited time-to-live
  • 6
    Open Source
  • 5
    Strings
  • 5
    Lua scripting
  • 4
    Hyperloglogs
  • 4
    Awesomeness for Free!
  • 3
    Transactions
  • 3
    Runs server side LUA
  • 3
    outstanding performance
  • 3
    Networked
  • 3
    LRU eviction of keys
  • 3
    Written in ANSI C
  • 3
    Feature Rich
  • 2
    Performance & ease of use
  • 2
    Data structure server
  • 1
    Simple
  • 1
    Channels concept
  • 1
    Scalable
  • 1
    Temporarily kept on disk
  • 1
    Dont save data if no subscribers are found
  • 1
    Automatic failover
  • 1
    Easy to use
  • 1
    Existing Laravel Integration
  • 1
    Object [key/value] size each 500 MB
  • 24
    Free
  • 18
    Simple
  • 17
    Clean UI
  • 8
    Easy

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Cons of Redis
Cons of Sequel Pro
  • 14
    Cannot query objects directly
  • 2
    No secondary indexes for non-numeric data types
  • 1
    No WAL
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    - 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 Sequel Pro?

    Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

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    Jobs that mention Redis and Sequel Pro as a desired skillset
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    What are some alternatives to Redis and Sequel Pro?
    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