Heroku Redis vs Mongoose

Overview

Mongoose

Stacks2.4K

Followers1.4K

Votes56

Heroku Redis

Stacks105

Followers163

Votes5

Heroku Redis vs Mongoose: What are the differences?

Heroku Redis: 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; Mongoose: MongoDB object modeling designed to work in an asynchronous environment. Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.

Heroku Redis belongs to "Redis Hosting" category of the tech stack, while Mongoose can be primarily classified under "Object Document Mapper (ODM)".

"More reliable than the other Redis add-ons" is the primary reason why developers consider Heroku Redis over the competitors, whereas "Well documented" was stated as the key factor in picking Mongoose.

Mongoose is an open source tool with 22.5K GitHub stars and 3.05K GitHub forks. Here's a link to Mongoose's open source repository on GitHub.

According to the StackShare community, Mongoose has a broader approval, being mentioned in 179 company stacks & 1079 developers stacks; compared to Heroku Redis, which is listed in 25 company stacks and 75 developer stacks.

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CLI (Node.js)

Manual

Detailed Comparison

Mongoose	Heroku Redis
Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.	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.
-	Easily Optimize;Vertically Scalable
Statistics
Stacks 2.4K	Stacks 105
Followers 1.4K	Followers 163
Votes 56	Votes 5
Pros & Cons
Pros 17 Well documented 17 Several bad ideas mixed together 10 JSON 8 Actually terrible documentation 2 Recommended and used by Valve. See steamworks docs Cons 3 Model middleware/hooks are not user friendly	Pros 5 More reliable than the other Redis add-ons Cons 1 More expensive than the other options
Integrations
Node.js MongoDB	Heroku Redis

What are some alternatives to Mongoose, Heroku Redis?

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.

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.

Mongoid

The philosophy of Mongoid is to provide a familiar API to Ruby developers who have been using Active Record or Data Mapper, while leveraging the power of MongoDB's schemaless and performant document-based design, dynamic queries, and atomic modifier operations.

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>

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.

Upstash

It provides Serverless Redis and Kafka as a service. With per request pricing, you pay only for what you use. You can use any Redis/Kafka clients. The built-in REST API enables use cases with serverless and edge functions.

Vercel KV

It provides durable, serverless Redis storage. It has been designed to be fast, scalable, and secure, and it's a great choice for storing and retrieving key-value and JSON data in your apps.