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Heroku Redis
Heroku Redis

85
68
+ 1
2
Sequelize
Sequelize

260
219
+ 1
37
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Heroku Redis vs Sequelize: What are the differences?

Developers describe Heroku Redis as "Reliable and powerful Redis as a service". Heroku Redis is an in-memory key-value data store, run by Heroku, that is provisioned and managed as an add-on. Heroku Redis is accessible from any language with a Redis driver, including all languages and frameworks supported by Heroku. On the other hand, Sequelize is detailed as "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.

Heroku Redis can be classified as a tool in the "Redis Hosting" category, while Sequelize is grouped under "Object Relational Mapper (ORM)".

Sequelize is an open source tool with 18.9K GitHub stars and 2.99K GitHub forks. Here's a link to Sequelize's open source repository on GitHub.

WebbyLab, Hostr, and Decision6 are some of the popular companies that use Sequelize, whereas Heroku Redis is used by Big Interview, Organize, and Singu. Sequelize has a broader approval, being mentioned in 38 company stacks & 33 developers stacks; compared to Heroku Redis, which is listed in 12 company stacks and 14 developer stacks.

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What is Heroku Redis?

Heroku Redis is an in-memory key-value data store, run by Heroku, that is provisioned and managed as an add-on. Heroku Redis is accessible from any language with a Redis driver, including all languages and frameworks supported by Heroku.

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 Heroku Redis and Sequelize?
    Redis Cloud
    Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.
    Redis To Go
    Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.
    Firebase
    Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
    Google Cloud Memorystore
    Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, more secure, and highly available infrastructure managed by Google. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes.
    RedisGreen
    Redis drives the best sites on the web, from Twitter to Pinterest. RedisGreen makes it easy for anyone to use. Customers can spin up databases at the click of a button. RedisGreen's future is in very fast tools to make the most difficult aspects of modern web application development faster, cheaper, and less labor-intensive.<br>
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    Decisions about Heroku Redis and Sequelize
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    How developers use Heroku Redis and Sequelize
    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 Tim Lucas
    Tim Lucas uses Heroku RedisHeroku Redis

    Storage backend for background processing via Sidekiq

    Avatar of toby lin
    toby lin uses SequelizeSequelize

    ORM for mysql with express. so far so good

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