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Redis
Redis

14.7K
9.8K
+ 1
3.8K
Sequelize
Sequelize

265
225
+ 1
37
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Redis vs Sequelize: What are the differences?

Redis: 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; Sequelize: Easy-to-use multi sql dialect ORM for Node.js & io.js. Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

Redis and Sequelize are primarily classified as "In-Memory Databases" and "Object Relational Mapper (ORM)" tools respectively.

"Performance" is the primary reason why developers consider Redis over the competitors, whereas "Good ORM for node.js" was stated as the key factor in picking Sequelize.

Redis and Sequelize are both open source tools. It seems that Redis with 37.1K GitHub stars and 14.3K forks on GitHub has more adoption than Sequelize with 18.9K GitHub stars and 2.99K GitHub forks.

According to the StackShare community, Redis has a broader approval, being mentioned in 3239 company stacks & 1732 developers stacks; compared to Sequelize, which is listed in 38 company stacks and 33 developer stacks.

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 Sequelize?

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.
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    What are some alternatives to Redis and Sequelize?
    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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    Decisions about Redis and Sequelize
    Django
    Django
    Redis
    Redis

    I use Redis because, based on the case studies I have reviewed, it appears to be the most performant cache database for my Django projects. The ease of configuration and deployment is also a big plus.

    Using both higher level view caching as well as low-level QuerySet caching with Redis has allowed me to improve HTTP request times by an order of magnitude.

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    Interest over time
    Reviews of Redis and Sequelize
    Review ofRedisRedis

    Redis is a good caching tool for a cluster, but our application had performance issues while using Aws Elasticache Redis since some page had 3000 cache hits per a page load and Redis just couldn't quickly process them all in once + latency and object deseialization time - page load took 8-9 seconds. We create a custom hybrid caching based on Redis and EhCache which worked great for our goals. Check it out on github, it's called HybriCache - https://github.com/batir-akhmerov/hybricache.

    How developers use Redis and Sequelize
    Avatar of Cloudcraft
    Cloudcraft uses RedisRedis

    Redis is used for storing all ephemeral (that's data you don't necessarily want to store permanently) user data, such as mapping of session IDs (stored in cookies) to current session variables at Cloudcraft.co. The many datastructures supported by Redis also makes it an excellent caching and realtime statistics layer. It doesn't hurt that the author, Antirez, is the nicest guy ever! These days, I would be really hard pressed to find any situation where I would pick something like Memcached over Redis.

    Avatar of Trello
    Trello uses RedisRedis

    Trello uses Redis for ephemeral data that needs to be shared between server processes but not persisted to disk. Things like the activity level of a session or a temporary OpenID key are stored in Redis, and the application is built to recover gracefully if any of these (or all of them) are lost. We run with allkeys-lru enabled and about five times as much space as its actual working set needs, so Redis automatically discards data that hasn’t been accessed lately, and reconstructs it when necessary.

    Avatar of Stack Exchange
    Stack Exchange uses RedisRedis

    The UI has message inbox that is sent a message when you get a new badge, receive a message, significant event, etc. Done using WebSockets and is powered by redis. Redis has 2 slaves, SQL has 2 replicas, tag engine has 3 nodes, elastic has 3 nodes - any other service has high availability as well (and exists in both data centers).

    Avatar of Brandon Adams
    Brandon Adams uses RedisRedis

    Redis makes certain operations very easy. When I need a high-availability store, I typically look elsewhere, but for rapid development with the ability to land on your feet in prod, Redis is great. The available data types make it easy to build non-trivial indexes that would require complex queries in postgres.

    Avatar of Kent Steiner
    Kent Steiner uses RedisRedis

    I use Redis for cacheing, data storage, mining and augmentation, proprietary distributed event system for disparate apps and services to talk to each other, and more. Redis has some very useful native data types for tracking, slicing and dicing information.

    Avatar of Ralic Lo
    Ralic Lo uses SequelizeSequelize

    Used it for full stack web application development, especially to interact with MySQL/ MariaDB / PostgreSQL server.

    Avatar of toby lin
    toby lin uses SequelizeSequelize

    ORM for mysql with express. so far so good

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