What is Kafka?
Kafka is an Open-Source streaming service that is a distributed, partitioned, and replicated log system. It has an integrated messaging system with a distinct design that is it’s own. It was first created through LinkedIn and later acquired by the Apache Foundation. It handles real-time data feeds that are low in latency and high throughput.
The fundamental design of Kafka technology comprises producers, Kafka Clusters, and consumers. It resembles a traditional broker-based messaging channel, but it has distinct architecture and more complicated conditions. It is confronted with some challenges – low speed and message tweaking, fewer messaging paradigms, etc. This is why alternative options in the direction of Kafka are now becoming popular. So, you can go with Amazon MSK for more alternate platforms.
In this article, we’re trying to provide some of the most well-known Kafka alternative options as well as the competition that will meet your needs.
1. Apache Spark:
Apache Spark is a widely used, general-purpose, open-source analytics engine designed for massive-scale data processing. It is well-known for its speedy and efficient data processing – batch and streaming, with the aid of its DAG scheduler and query optimizer, and engine. The processing of data streams is done in real-time, which makes it rapid and effective. Machine learning abilities are also very precise.
Spark makes it easy to write applications using programming languages such as R, SQL, Scala, Java, Python, and more. There are built-in and efficient libraries to process streams, SQL, and graph computation. They can be seamlessly integrated to provide efficient streaming, analytics, and SQL computations. On a side note if you wish to learn apache kafka then visit the link here.
2. RabbitMQ:
RabbitMQ is an open-source message broker that is lightweight and easy to deploy on the cloud. It is finely operable with multiple operating systems and cloud-based infrastructure and provides a range of development tools that can be used in many languages. It is a good platform for a variety of messaging protocols. It can be used in distributed environments to meet high-availability requirements. It is asynchronous and supports messing service, and provides a fantastic developer experience using languages such as Java, Go, Ruby, Python, .NET, and many more.
RabbitMQ provides a distributed deployment across a variety of areas and availability zones. Because it’s light-weighted, it is easily deployed on public and private cloud services. It is a plug-in that can be adapted to any method and a wide range of tools to facilitate continuous integration and operational metrics. Because it is written in Erlang, which is fast as well as concurrent, RabbitMQ utilizes the power of Erlang.
3. ActiveMQ:
Apache ActiveMQ can be described as a well-known open-source, flexible, Multi-protocol messaging platform. Because it provides excellent support for protocols based on industry standards, developers can access platforms and languages. It aids in connecting clients that are written in languages such as Python, C, C++, JavaScript, and more. With the aid of the AMQP Protocol, integration with numerous applications using different platforms is simple. It can accommodate any use-case for messaging. If you want to know more about what is Apache Kafka then here is a detailed blogspot.
- Top-of-the-line data accessibility.
- Load-balanced.
- A flexible allocation of resources and management.
It is easy to upgrade into any application, and its straightforward yet effective message semantics can be extremely beneficial in exchanging messages. It is well-known for its flexible allocation of resources and management. It provides solid support for enterprise integration patterns and is therefore known for its integration of apps and services.
4. Amazon Kinesis:
Amazon Kinesis, also known by Kinesis streams, is a well-known alternative to Kafka for capturing, processing, and analyzing data and video streaming in live-time. It delivers timely and relevant information stream data with total flexibility and scalability at a low cost. It’s easy to integrate information that includes audio, videos and app logs, for example. It provides a quick reaction to the data that comes in and is fast and efficient.
5. Red Hat AMQ:
Red Hat AMQ is a powerful set of components dependent on communities such as Apache Kafka and Apache ActiveMQ to provide a secure and easy solution. It’s fast to execute and can be used as a flexible tool for messaging that allows for instant distribution of information. It can respond quickly to the organization’s needs and seamlessly integrates apps across the entire enterprise.
There’s a lot of technical support accessible from the user communities. It handles long-running queries by utilizing the efficient mixture between Kafka and ActiveMQ. The advantages of both are accessible in AMQ and are therefore the best choice as an alternative in place of Apache Kafka.
6. Apache Storm:
It iis a recognized open-source, distributed, real-time computing system. It is free and simple to use and assists in easily and precisely various data streams in real-time. Because it is simple, it can be used in any programming language, which is why it is the preferred choice of developers. Option. It’s fast, flexible, and works well with other queueing technologies.
It’s fault-tolerant and guarantees thorough handling of the data. Developers can easily set up and use it. It can process more than one million records per second on every node of an average-sized cluster. It is used extensively in various industries, such as manufacturing, finance, retail, and others.
7. Amazon SQS:
Amazon SQS (Simple Queue Service) is a fully managed message queuing service suitable for distributed servers, serverless applications, and microservices. It is renowned for its dissociation of components and the development of an efficient process that is asynchronous. It has a great SDD and a great console. Because of its prominent characteristics, it is simple to use and is. Therefore, programmers favour it.
It allows for decoupling and scaling servers, distributed systems and microservices. It reduces the workload on developers by removing the complications and the overheads associated with managing message-dependent middleware.
8. IBM MQ:
Utilizing the power of a tech giant, IBM MQ is a well-known message and transfer protocol that delivers powerful enterprise-level messaging capabilities. It assists in the secure transmission of information between different applications. It ensures reliable connectivity and communication across projects, allowing for multiple transactions without difficulty. It can be used to support the one-and-only-once delivery method, restoring confidence.
9. Sentry:
Sentry is a well-known application for monitoring and tracking errors program that provides access to all vital information, including monitoring performance and recording errors. It gives complete information on everything from frontends to backends. Performance issues can be identified, and APIs that are not performing well and the database is slow.
10. Redis:
Redis is a well-known open-source, in-memory structure store, which offers a variety of data structures such as lists of strings, hashes, bitmaps, sets, streams, geospatial indexes, and more. It is ideal for serving as a cache, memory broker, and cache. It can be utilized for durability and also the ability to replicate itself. It provides a lot of flexibility via Redis Sentinel and Redis Cluster.
Final Thoughts
Like other sites, Apache Kafka has a range of rivals and alternatives. All of it is based on need! Based on the client’s demand, the selection of technology could be altered. Kafka is always a great choice; however, as the technology sector evolves, there are a variety of alternatives that can outweigh the few drawbacks Kafka has. You can give them a try to see if they are worth it!
Source: Plato Data Intelligence: PlatoData.io