Redis and MongoDB are both the most open-source, NO-SQL databases. However, MongoDB and Redis are built to serve different purposes. In this blog, we will do a detailed Comparision of Mongodb vs Redis. So let’s get started.
In this session, I will give you a brief introduction to these two fantastic databases.
What is MongoDB
MongoDB is an open-source, No-SQL database. It is a document-based database. MongoDB, a No-SQL database, is not relational and can have a dynamic schema. Dynamic schema means you don’t have to define the schema before inserting a document into mongoDB.
MongoDB gives us the flexibility to change the data schema at any time.MongoDB can handle operational, transactional, and analytical workloads easily.
MongoDB can be easily scalable as per the user’s requirements.MongoDB used JSON format to represent the data. You can interact with mongoDB either by command line or using an atlas.
What is Redis
Redis stands for Remote Dictionary Server, which is a No-SQL database. Redis is a critical middleware and is used by most fortune 500 companies.
Redis is an open-source, in-memory key-value data store.
Redis is fast and can be used as a cache, database, queue, and message broker. In most cases, people use Redis as an in-memory dataset. You can either persist your data or take the periodic dump to a disk-based on your use case. We can use Redis from most of the programming languages.
Redis is so fast because it will save your data in memory, thus eliminating the time to access disks. Follow this link to get a quick introduction about the redis
Features of MongoDB vs Redis
Features of MongoDB
Please follow this link to learn about the features of mongodb.
Features of Redis
The Feature of redis are as follows:
- Redis is entirely open source and free to download and use.
- Redis stores the data in memory which helps the user access data in real-time.
- Redis supports multiple data structures like list, map, string, bitmap, etc.
- Redis can be easily set up, and its databases can be easily maintained.
Advantages and Disadvantages of MongoDB vs Redis
Advantage of MongoDB
Please follow this link to learn about the Advantage of Mongodb.
Advantage of Redis
The advantage of redis are as follows:
- Easy to set up: Redis is relatively easy to set up in your machine.
- Slight learning curve: Redis is relatively easy to learn and has a minimal learning curve.
- In-memory data storage: Unlike other databases like MongoDB, MySQL, or PostgreSQL, which saves the data into a disk,redis saves the data into memory.
- Can store large data: In Redis, you can store data as key-value pairs as large as 512 MB. It means a single record can be as large as 1GB.
- Support replication: Redis support master-slave replication to replicate the data to multiple servers.
- Support for multiple languages: You can interact with redis using API. APIs are available for most popular languages like Python, C/C++, JAVA, etc.
- Support transactions: Another advantage of using redis is that it supports transactions.
Please follow this link to learn about the disadvantage of Mongodb.
Disadvantages of Redis
The disadvantages of Redis are as follows:
- Issue when the master is down: In redis, data is sharded based on assigned hash-slots in master. Data will be lost if the master having some slots is down.
- Failover issue: In redis, there should be at least one slave for failover to happen.
- Requires massive amount of RAM: Since Redis saves the data on memory, it needs a considerable amount of RAM to store data.
- No Role-based access: In Redis, there is no inbuild role-based access.
- No Buildin encryption: Redis does not have inbuild encryption on the wire
- Hard to deploy: Deploying Redis on large-scale cloud deployments can be a pain.
MongoDB vs Redis
This session will see the detailed comparison between mongodb vs redis on different parameters.
MongoDB vs Redis performance
Both Mongodb and redis are high performed databases. But since redis saves its data into memory, it has the edge over the mongodb.
To get the same performance from the mongodb, you need to add more cores, while redis can give you the same performance in the single-core.
You can follow this link to get a detailed comparison of redis and mongodb on various parameters.
MongoDB vs Redis speed
Mongodb is schemaless, which means we can insert data in mongodb, which have different structures. It does not validate the schema before inserting, making it exceptionally fast compared to redis.
Redis is fast when stored data is small, but mongodb is quite fast when keeping massive data.
MongoDB vs Redis Language support
Both MongoDB and Redis can work exceptionally well with languages like python, java, C/C++, Ruby, etc. Other than popular languages, both databases support most data science frameworks like Scala and MATLAB.
MongoDB vs Redis Scalability
Both mongodb and redis can be easily scalable as per users’ needs.
MongoDB is written in C++ and is available for most operating systems like: Mac os, Windows, Unix, Linux, and Solaris.
Redis is also written in C and is available for operating systems like: Mac os, Windows, Unix, Linux, BSD, etc.
MongoDB vs Redis Security
In Redis, there is no inbuild role-based access control(RBAC). Users can access mongodb using simple user names and passwords, which is not a highly secure way to access the application.
In mongodb, there are multiple options available to access the shell. You can either use a simple user name and password, or other RBAC tools like LDAP can be easily integrated with mongodb.
So Mongodb excels over redis in security.
MongoDB vs Redis Data storage
Mongodb saves the data in the form of JSON documents. On the other hand, redis stores the data in memory as a key-value pair. Redis works very well where the data is rapidly changing and can fit into the memory.
MongoDB vs Redis support
Both mongodb and redis are open-source tools and have a vibrant community where you can reach out to get any help.
Other than the open-source community support, these tools offer enterprise editions well, which provides more features than the open-source tools.
When to use MongoDB
Use MongoDB in the below scenarios:
- In mongoDB, we don’t have to define the schema to handle data that follows any structure. So in a use case where you have to save unstructured data, mongoDB is the best database to fulfill your requirement.
- If you are handling massive data and in the future, the data will keep growing in such a case, go for mongoDB.
- Go for mongoDB if most of your applications are cloud base.
- Use mongoDB if you need Automatic failover and replication.
- Use mongodb when you need to query your data frequently.
When to use Redis
Use MongoDB in the below scenarios:
- If you have the use cases where you need to store data into memory for quick access, choose redis over mongodb.
- Choose redis if you do not want to write complex queries.
- Redis can be used to build real-time dashboards.
- Choose Redis if the data size is small and can easily fit into memery.
Redis and MongoDB together
Redis and Mongodb perform very well when they both are combined.MongoDB being the no-SQL database gives us the flexibility to insert data that follow any structure.
Redis is helpful in various use cases like storing user sessions, real-time analytics, messaging broker for queues, and an intelligent cache.
When redis combined with mongodb, it can act as a data ingestion buffer that helps mongodb update documents more efficiently in memory and reduce mongodb hardware needs.
This article has started with a brief introduction of MongoDB and Redis. We also explored the advantages/disadvantages and features of MongoDB and Redis. Finally, we have seen the difference between MongoDB vs Redis and when to use MongoDB and Redis.
I hope you like this tutorial. Please do let me know if you face any difficulty following along in the comment box.