Blog_Banner_Asset
    Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconBig Databreadcumb forward arrow iconKafka vs RabbitMQ: What Are the Biggest Differences and Which Should You Learn

Kafka vs RabbitMQ: What Are the Biggest Differences and Which Should You Learn

Last updated:
15th Jul, 2022
Views
Read Time
6 Mins
share image icon
In this article
Chevron in toc
View All
Kafka vs RabbitMQ: What Are the Biggest Differences and Which Should You Learn

What is Kafka?

Kafka is a relatively new open-source distributed platform for event streaming as it was released in 2011, clearing the way for raw throughput. It is written in Scala and Java and is a pub/sub message bus used in high-ingress data replay and streams. It does not rely on the message queue but instead focuses on appending messages to the log. These messages are left in the log and remain until the consumer opens it or meets the retention limit.

The pull-based approach used by Kafka lets users ask for message batches from particular offsets. This message batching system is used for higher throughput and seamless delivery of messages.

Kafka is used mainly for streaming from A to B, where complex routing is not used. It produces the maximum throughput and is ideal for stream processing, event sourcing, and executing modelling changes to a system as a sequence of events. Kafka is also suitable for processing data in multi-stage pipelines. It is used as a framework for reading, re-reading, storing and analysing streaming data. 

Learn Software Development Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career.

Ads of upGrad blog

What is RabbitMQ?

RabbitMQ is another message broker that is open-source and used for seamless delivery of messages in complicated routing scenarios. It typically works as a cluster of nodes where queues are dispersed throughout the nodes for replicating high availability and fault tolerance.

RabbitMQ is used by developers to process high-throughput and relevant background jobs and is also used in intercommunication and between applications. RabbitMQ is also used to perform complex routing to people and to integrate numerous services and applications with routing logic that is not trivial.

Web-servers use RabbitMQ for rapid request-response and share loads amongst workers under high load. It is also used for tackling long-running tasks or background jobs like converting PDF, scanning files, or scaling an image.

RabbitMQ vs Kafka

Although Rabbit MQ and Kafka aren’t the same, it all boils down to these two when it comes to choosing messaging options. However, it can be challenging to determine which of the two is better. Therefore, instead of focusing on the cons, make your decision based on your needs, the features of both these services, and the skill sets needed to run these services. These messaging frameworks have variegated capabilities and approach the field of messaging differently. 

Here is a chart breaking down the most significant differences between the two:-

Kafka vs RabbitMQRabbitMQKafka
Performance4K-10K messages every second1 million messages every second
Message RetentionBased on Acknowledgment Based on Policy
Type Of DataTransactionalOperational
Consumer ModeSmart broker/dumb customerDumb broker/smart customer
TopologyExchange type: Direct, Fan out, Topic or Header-basedPublish or subscribe based
Payload SizeNo constraintsDefault 1MB limit
Usage CasesSimple use casesMassive data and high throughput cases
Data FlowDistinct and bounded data flowUnbounded data flow, with the key-value pairs
MessagingSends messages to usersIt is a log and makes use of continuous messages

Requirements and Use Cases

It is clear that the choice between both RabbitMQ and Kafka depends on the use case. RabbitMQ’s message broker design is great for use cases with per-message guarantees and certain routing needs. In contrast, Kafka has an append-only log that permits developers to access the stream history and a more direct approach to stream processing. 

While RabbitMQ offers developers the traditional queue model, it has also introduced new data structure modelling, an append-only log that has consuming semantics that is non-destructive. This new data structure is made to work in a similar manner to that of Kafka’s persistent log. It is undoubtedly an exciting addition for users of RabbitMQ who also wish to take their streaming use case further. This feature will not only be made to be compatible with the AMQP protocol but will also introduce a stream protocol that is binary-based.

Explore our Popular Software Engineering Courses

Developer Experience

The developer experience of both Kafka and RabbitMQ has remained chiefly the same. The only thing that has changed is the list of libraries, and most importantly, clients continue to grow. It is all thanks to the work of their particular communities respective of their platforms. 

Both client library lists of RabbitMQ and Kafka have steadily grown over the years. More frameworks and languages have garnered fame and rise in popularity. There has been an exponential growth of Kafka Streams as well, and the implementation of a client library makes it much easier to process streaming data amongst developers. It is most commonly used to read data from Kafka, process it, and write it to a different Kafka queue. Therefore, it is a great option for developers looking to develop streaming applications while leveraging relational databases.

This can also be accomplished with RabbitMQ, just like Kafka taking the help of some other pieces, like Spring Cloud Data Flow. With the newly developing streaming changes for RabbitMQ, new ways and newer avenues have been regarding interacting with RabbitMQ on behalf of the developer.

Security and Operations

RabbitMQ has a much more functional and practical administration interface that helps manage users and queues with ease. Kafka, on the other hand, is dependent on JAAS and TLS.

Therefore, the ultimate choice between RabbitMQ or Kafka is entirely dependent on the particular requirements and the specific use case. However, most security scenarios can have a true conclusion with either of the two technologies.

Ads of upGrad blog

Over the last few years, Kubernetes has affected the operations of services, and a great deal of work has been done to let infrastructure operators run both Kafka and RabbitMQ on Kubernetes. The Kafka Helm chart and RabbitMQ operator are commendable for configuring these services and running them on Kubernetes.

Read our Popular Articles related to Software Development

Conclusion

The choice between RabbitMQ or Kafka can be pretty tricky because of their similar use as well as their rapid improvement with time. The decision should be wholly based on the individual scenario and the use case. If you can, try to get acquainted with both Kafka and RabbitMQ, as it will increase your chances of landing high-paying jobs. Plus, it will make you a more attractive candidate when you sit for job interviews.

There are several courses teaching about the importance of Big Data, how it works and also how to implement Kafka and RabbitMQ. If you are looking to get enrolled in a reliable course on the Advanced Certificate Programme in Big Data from IITB, then look no further. upGrad’s course will help you gain industry-relevant skills like Data Processing with PySpark, Data Warehousing, MapReduce, Big Data Processing on the Cloud, Real-time Processing, and the like. 

The key highlights of this course are as follows – 

  • Designed for Working Professionals
  • Multiple Industry Projects, Assignments and Case Studies
  • Advanced Certificate from IIIT Bangalore
  • Personalised Career Mentorship Sessions
  • Exclusive Job opportunities Portal

Profile

Rohit Sharma

Blog Author
Rohit Sharma is the Program Director for the UpGrad-IIIT Bangalore, PG Diploma Data Analytics Program.
Get Free Consultation

Selectcaret down icon
Select Area of interestcaret down icon
Select Work Experiencecaret down icon
By clicking 'Submit' you Agree to  
UpGrad's Terms & Conditions

Our Popular Big Data Course

Frequently Asked Questions (FAQs)

1When should you use Kafka vs RabbitMQ?

For developers, Kafka grants access to stream history and direct stream processing, whereas RabbitMQ’s message broker system specialises in use cases that have particular routing requirements and per-message guarantees. However, a new data structure model is under development by RabbitMQl to the append-only log that will focus on bridging the gap in streaming use cases.

2Should you use Kafka or RabbitMQ for microservices?

Kafka makes use of high performance, and more straightforward routing approach that is perfect for big data use cases. In contrast, RabbitMQ is used for blocking tasks and has comparatively faster server response time. Both options are great for particular use cases.

3Is Kafka higher performance than RabbitMQ?

Both Kafka and RabbitMQ are optimised for performance, which can be challenging to quantify depending on particular use cases. Kafka has very high throughput, whereas RabbitMQ is great for low latency message delivery. It all boils down to the specific use case.

Explore Free Courses

Suggested Blogs

50 Must Know Big Data Interview Questions and Answers 2024: For Freshers & Experienced
8203
Introduction The demand for potential candidates is increasing rapidly in the big data technologies field. There are plenty of opportunities in this
Read More

by Mohit Soni

Top 6 Major Challenges of Big Data & Simple Solutions To Solve Them
103237
No organization today can operate effectively without data. Data, generated incessantly from various sources like business transactions, sales records
Read More

by Rohit Sharma

17 Jun 2024

13 Best Big Data Project Ideas & Topics for Beginners [2024]
102032
Big Data Project Ideas Big Data is an exciting subject. It helps you find patterns and results you wouldn’t have noticed otherwise. This skill
Read More

by upGrad

29 May 2024

Characteristics of Big Data: Types & 5V’s
7133
Introduction The world around is changing rapidly, we live a data-driven age now. Data is everywhere, from your social media comments, posts, and lik
Read More

by Rohit Sharma

04 May 2024

Top 10 Hadoop Commands [With Usages]
12370
In this era, with huge chunks of data, it becomes essential to deal with them. The data springing from organizations with growing customers is way lar
Read More

by Rohit Sharma

12 Apr 2024

What is Big Data – Characteristics, Types, Benefits & Examples
187063
Lately the term ‘Big Data’ has been under the limelight, but not many people know what is big data. Businesses, governmental institutions, HCPs (Healt
Read More

by Abhinav Rai

18 Feb 2024

Cassandra vs MongoDB: Difference Between Cassandra & MongoDB [2023]
5536
Introduction Cassandra and MongoDB are among the most famous NoSQL databases used by large to small enterprises and can be relied upon for scalabilit
Read More

by Rohit Sharma

31 Jan 2024

Be A Big Data Analyst – Skills, Salary & Job Description
899959
In an era dominated by Big Data, one cannot imagine that the skill set and expertise of traditional Data Analysts are enough to handle the complexitie
Read More

by upGrad

16 Dec 2023

12 Exciting Hadoop Project Ideas & Topics For Beginners [2024]
21374
Hadoop Project Ideas & Topics Today, big data technologies power diverse sectors, from banking and finance, IT and telecommunication, to manufact
Read More

by Rohit Sharma

29 Nov 2023

Schedule 1:1 free counsellingTalk to Career Expert
icon
footer sticky close icon