Redis vs RDBMS: Difference and Comparison

Databases are organized collections of structured data or information stored in computers electronically. Retrieving any data directly from a database can take a lot of time.

Instead, a quicker alternative would be to access this data directly from RAM (Random Access Memory). This is where software such as Redis and RDBMS come into play.

They provide any data queried in much less time than a database would.

Key Takeaways

  1. Redis is an in-memory, key-value store primarily used for caching and messaging.
  2. RDBMS is a relational database management system for structured data storage and retrieval.
  3. Redis excels in speed and scalability, whereas RDBMS focuses on data consistency and integrity.

Redis vs RDBMS

Redis is an in-memory data structure store that serves as a database, cache, and message broker, it is fast and efficient for certain use cases. RDBMS is a relational database management system that stores data in tables with relationships, it is commonly used for traditional applications that require complex queries and transactions.

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REDIS (Remote DIctionary Server) is a NoSQL database. It is open-source software that is primarily used as a cache for applications and as a response database.

Redis delivers unparalleled speed, reliability, and performance since its data is stored in primary memory and not on any external hard drives.

RDBMS (Relational Database Management System) consists of data points related to one another and stores and provides access to them.

Data in relational databases are organized in tables using the relational model, which is intuitive and straightforward.

Comparison Table

Parameters of ComparisonRedisRDBMS
DefinitionRedis is a free and open-source cache database.An RDBMS is simply a program that manages databases.
StorageIn Redis, everything is stored in primary memory. 
With RDBMS, everything is stored in secondary memory.
SpeedSince Redis stores data in primary memory, Read and Write operations are extremely fast.
Because RDBMS stores data in secondary memory, Read and Write operations are slow.
Primary memory is significantly more expensive. Thus, storing data using Redis is costly too.
Secondary memory is relatively cheaper. Thus, storing data is cheap too. 
Storage capacity
Due to the small primary memory, Redis cannot store large files or binary data.
The secondary memory is abundantly large, so RDBMS can handle such files easily.
Type of data stored
Redis is used for storing very small textual data that needs to be accessed, modified, and inserted quickly. You will receive an error if you try to write bulk data beyond the memory available.
An RDBMS can hold large amounts of data that are less frequently utilized and are not expected to operate at high speeds.

What is Redis?

Redis is short for Remote DIctionary Server. It is open-source software. A NoSQL database, it uses the key-value storage principle.

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This is why Redis is used as a cache directory to retrieve data as quickly as possible for web applications. Because Redis stores data in the primary memory, its users can access the data at unprecedented speeds.

The reliability and performance of Redis have earned it the trust of millions of users.

Using an external database to retrieve data directly from a web application can be very slow. Most of this slowness is caused by high traffic volumes.

Users may find it extremely frustrating when the application’s performance is negatively affected. Keeping the necessary data as close to the system as possible would make things much easier.

Redis is designed for this purpose. It keeps the data in the primary memory, making accessing it very convenient and improving performance.

There are several differences between Redis and other NoSQL databases, such as MongoDB and PostgreSQL. Redis is designed primarily to improve the performance of applications.

As opposed to external hard drives or SSDs, Redis stores its data in the primary memory of the server. Therefore, client wait times are significantly reduced.

Furthermore, it is possible to fill its database with new data previously unavailable in its database, despite the fact that it is unable to store a large amount of data.

What is RDBMS?

RDBMS is used for retrieving and accessing data linked to each other. The relational model, one of the simplest ways to represent data in tables, is the basis of relational databases.

According to a relational database, each row in a table is a record containing a unique key.

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It is easy to determine relationships between data points because each column of the table contains attributes of the data, and every record contains a value for every attribute.   

A relational model comprises logical data structures (like tables, indexes, views) and physical data structures. Physical and logical storage is distinct.

The difference between physical and logical data storage also applies to database operations, which are clearly defined activities that enable applications to manipulate data and structures within a database.

Therefore, physical and logical databases can be accessed and modified separately. 

An organization of any size can use the simple yet powerful relational model for a wide range of information needs.

Many organizations use relational databases to manage large amounts of mission-critical information, track inventories, process transactions, and manage customer information.

Relational databases are suitable for any information need where data points should be linked.

Main Differences Between Redis and RDBMS

  1. In Redis, everything is stored in the primary memory, whereas in an RDBMS, it is stored in the secondary memory.
  2. RDBMS cannot access data as fast as Redis.
  3. The cost of primary memory is higher than that of secondary memory. This makes Redis a cheaper alternative to RDBMS for storing data.
  4. Secondary memory is larger than primary memory. Therefore, Redis can store less data.
  5. The data stored in Redis can be easily accessed and is small. At the same time, RDBMS stores large amounts of rarely accessed data.
Difference Between Redis and RDBMS

Last Updated : 23 June, 2023

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10 thoughts on “Redis vs RDBMS: Difference and Comparison”

  1. The article’s comparison table clearly illustrates the contrasting features of Redis and RDBMS. This is valuable for decision-making in determining the most suitable data storage for different applications.

    • Indeed, the in-depth analysis of the parameters of comparison provides a comprehensive understanding of Redis and RDBMS, aiding strategic choices for data management solutions.

    • The detailed description of Redis and RDBMS is presented with clarity, empowering readers to discern the distinct advantages and drawbacks of each system effectively.

  2. The comprehensive explanation of Redis as a cache and messaging system, along with RDBMS for structured data, offers a beneficial insight for professionals working with various databases and storage technologies.

  3. This article provides a high-quality explanation of the key differences between databases and RAM. I particularly appreciate that it demonstrates the purpose of software such as Redis and RDBMS in a concise manner.

    • Absolutely, the article highlights the significance of storage mechanisms such as Redis and RDBMS and their roles in enhancing data retrieval and performance.

  4. This article delivers a comprehensive comparison between Redis and RDBMS, shedding light on the fundamental disparities and applications of these integral systems for data management and performance optimization.

  5. The illustrative breakdown of Redis and RDBMS distinguishes their respective utilities, aiding readers in weighing the trade-offs between speed, storage, and cost when determining the right database or cache solution.

  6. While the article effectively depicts Redis’s speed and RDBMS’s data consistency, it does not thoroughly address the potential applications and specific scenarios where one system excels over the other.

    • I agree with your observation. It would be advantageous to encompass practical use cases or industry examples that showcase the optimal utilization of either Redis or RDBMS.


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