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Mongoose

2.1K
1.4K
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56
Redis

59.4K
45.7K
+ 1
3.9K
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Mongoose vs Redis: What are the differences?

<Write Introduction here>
  1. Data Structure: Mongoose is an Object Data Modeling (ODM) library for MongoDB and provides a schema-based solution to model data whereas Redis is an in-memory data store that primarily uses key-value pairs to store data.

  2. Persistence: Mongoose is typically used for persisting data in a database like MongoDB which provides persistent data storage across restarts, while Redis can be used as a caching layer or an in-memory database that may not persist data beyond the lifetime of the application unless configured with persistence settings.

  3. Query Language: Mongoose uses JavaScript-based query language that closely resembles MongoDB's query language, making it easy for developers familiar with MongoDB to work with. On the other hand, Redis offers a different set of commands and data structures for querying and manipulating data compared to traditional databases like MongoDB.

  4. Scalability: Redis is known for its high performance and ability to handle large volumes of data in memory efficiently, making it a popular choice for applications that require fast data access and high scalability. While Mongoose is focused on modeling data structures and interacting with MongoDB, which might not offer the same level of scalability as Redis in certain use cases.

  5. Use Cases: Mongoose is commonly used in applications that require a schema-based data modeling approach and complex data relationships, often seen in web applications or APIs that need structured data storage. Redis, on the other hand, is preferred for scenarios where fast data access, caching, and temporary data storage are crucial, such as real-time analytics, session management, and message queues.

  6. Durability: In terms of durability, Mongoose provides ACID transactions and durable data storage capabilities when used with MongoDB, ensuring data consistency and reliability. Redis, on the other hand, focuses more on performance and speed, which may compromise durability in certain scenarios unless specific persistence configurations are implemented.

In Summary, Mongoose and Redis differ in their data structure, persistence, query language, scalability, ideal use cases, and durability, catering to different needs in terms of data modeling and storage solutions for applications.
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Pros of Mongoose
Pros of Redis
  • 17
    Several bad ideas mixed together
  • 17
    Well documented
  • 10
    JSON
  • 8
    Actually terrible documentation
  • 2
    Recommended and used by Valve. See steamworks docs
  • 1
    Can be used with passportjs for oauth
  • 1
    Yeah
  • 886
    Performance
  • 542
    Super fast
  • 513
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
  • 194
    Open source
  • 182
    Easy to deploy
  • 164
    Stable
  • 155
    Free
  • 121
    Fast
  • 42
    High-Performance
  • 40
    High Availability
  • 35
    Data Structures
  • 32
    Very Scalable
  • 24
    Replication
  • 22
    Great community
  • 22
    Pub/Sub
  • 19
    "NoSQL" key-value data store
  • 16
    Hashes
  • 13
    Sets
  • 11
    Sorted Sets
  • 10
    NoSQL
  • 10
    Lists
  • 9
    Async replication
  • 9
    BSD licensed
  • 8
    Bitmaps
  • 8
    Integrates super easy with Sidekiq for Rails background
  • 7
    Keys with a limited time-to-live
  • 7
    Open Source
  • 6
    Lua scripting
  • 6
    Strings
  • 5
    Awesomeness for Free
  • 5
    Hyperloglogs
  • 4
    Transactions
  • 4
    Outstanding performance
  • 4
    Runs server side LUA
  • 4
    LRU eviction of keys
  • 4
    Feature Rich
  • 4
    Written in ANSI C
  • 4
    Networked
  • 3
    Data structure server
  • 3
    Performance & ease of use
  • 2
    Dont save data if no subscribers are found
  • 2
    Automatic failover
  • 2
    Easy to use
  • 2
    Temporarily kept on disk
  • 2
    Scalable
  • 2
    Existing Laravel Integration
  • 2
    Channels concept
  • 2
    Object [key/value] size each 500 MB
  • 2
    Simple

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Cons of Mongoose
Cons of Redis
  • 3
    Model middleware/hooks are not user friendly
  • 15
    Cannot query objects directly
  • 3
    No secondary indexes for non-numeric data types
  • 1
    No WAL

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What is Mongoose?

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.

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.

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Jobs that mention Mongoose and Redis as a desired skillset
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What companies use Mongoose?
What companies use Redis?
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What are some alternatives to Mongoose and Redis?
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.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
See all alternatives