The current strategy of companies is to grow its database exponentially. As a result, the data scientists have to face the slow down of their systems. Data analysis is a difficult task to perform straight away as most of them are unstructured or semi-structured. Instead of relational databases, the companies started to opt for the NoSQL databases. These NoSQL databases can handle both the unstructured and semi-structured and also structured databases. Often, developers find it hard choosing between Redis and MongoDB.
Redis and MongoDB are two different NoSQL databases under the same class, and they have both structural similarities and differences. Let’s discuss each in detail to make it easy choosing between Redis and MongoDB:
What is Redis?
Redis is an open-source and speedy in-memory database structure store primarily used as a database, cache, and message broker. It has the ability to support data structures that include elements such as hashes, hyperlogs, sorted sets, strings, bitmaps, range queries, geospatial indexes, lists, sets, and streams. Redis features out-of-box asynchronous replication, transactions, pub and sub, Lua scripting, and various levels of disk persistence. It even provides high availability via Redis Sentinel as well as automatic partitioning with Redis Cluster. Users can pair Redis with a bulk of programming languages used today.
Advantages of Redis
There are several advantages to using Redis.
- Redis provides persistence where you can opt to set up, so cache warming in the event of a crash is a hassle-free.
- Redis is straightforward to set up out of the box.
- Redis is a powerful open caching solution that surpasses.
- Redis is not a plain cache solution. It has advanced data structures that provide many powerful ways to save and query data.
Disadvantages of Redis
- Redis doesn’t feature inbuilt encryption on the wire.
- No role-based account control
- Redis database size is restricted by the overall amount of RAM in the machine
- There isn’t a seamless, mature, clustering solution for Redis.
- Redis can be difficult and tedious to deploy in larger cloud deployments for larger enterprises.
What is MongoDB?
MongoDB is a document database with scalability and versatility in which users would find engaging for querying and indexing. MongoDB can store data in workable documents, which means that fields can differentiate from document to document, and data structure can be changed over time. It will offer solutions to extremely complex issues and can manage large volumes of data. Usually, MongoDB processes, stores, and executes data in the binary form and uses a very user-friendly representation of documents in the JSON format for data input and output. MongoDB’s command-line interface is also quite simple to use.
Advantages of MongoDB
- It is a more traditional database with advanced data manipulation features.
- It is simple to understand and use
- Secure Socket Layers(SSL), Role-based Access control(RBAC), and scale-out built-in.
- It ha rich query language.
- It saves your time spent on extra learning and support.
- It is an excellent choice for managing customer analytics and product catalogs.
Disadvantages of MongoDB
- With an in-memory engine, it offers no persistence until it is deployed as a replica.
- It is ineffective for caching.
- It lacks persistence. This database doesn’t have a sustainable basis for coping with the replica.
- While scaling, you may encounter problems with moving analytics and rich searching data.
Differences Between Redis and MongoDB
Speed: The presence of fragmented elements in the internal structure of Redis forces it to process more time. On the contrary, for its high-speed MongoDB is more straightforward in use and structure, it doesn’t need much and can be fast.
Performance: Both databases are compute-bound. However, MongoDB uses multiple cores to succeed while Redis manages to perform the same quality on one core. Redis database can fly as quickly as your cache.
Configuration: Depending on YCSB measurement tests, Redis vs MongoDB revealed the better performance of Redis.
Caching: MongoDB is a traditional database solution that has added features such as data aggregation and map-reduce, whereas Redis is a combination of advanced data structure and changing solutions.
Scaling: MongoDB outperforms Redis as it supports more scaling methods, and RAM on the physical machine limits Redis.
Memory: MongoDB comes up with a Percona engine that transforms the tool into a memory storage engine. Redis comes with an in-memory engine that helps the tool to operate comfortably with a higher set of workloads.
Conclusion: Which one to choose between Redis and MongoDB?
The answer will be based on the type of development team working on the project and the individual application needs. One must be aware that Redis and MongoDB are different. In fact, the accuracy you need, the number of resources you require, and the time frame you need to achieve the output are the real factors for choosing between these frameworks.
Krify is the leading mobile app and website development company based in India and the UK having a mobile app and web developers with huge experience. Our experts can even assist you in choosing the best among Redis and MongoDB.
In case, if you have any questions and looking for a free 30 mins consultation on choosing Redis or MongoDB – Please do contact us. Our expert team can interact with you to understand your needs and plan the next steps.
