Apache Kafka 2022: Top 5 Alternate Data Streaming Platforms to Know in 2022

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Are you looking for the world’s most used data streaming software alternative? You are not alone. Hundreds of thousands of companies may use Apache Kafka, but it just might not work well with your organization’s unique needs. So what to do then?

There are several event streaming software available in the market with many advanced features like API designer, pre-built connectors including custom connectors and other essential and necessary tools in-built available without a different paywall. However, it may help you if you also consider the factor of how well the messages and integrations are held together; otherwise, your entire process will slow down. Click here to read more about Apache Kafka’s other use cases.

Here are some alternate data streaming platforms:

1. Google’s Cloud Pub/Sub:

It is an extremely simple, reliable, scalable data foundation for stream analytics and event-driven computing systems. If you want to make use of user interaction events from end-user applications or server-side events from the system, you may have to forward them to Google Cloud Pub/Sub and then use a stream processing tool like Dataflow and others. This will then deliver them to BigQuery, Bigtable, Cloud Storage and other databases. For example, a Software As A Service SaaS application can publish the real-time feed of an event or series of events, or a residential sensor can stream data to Google Cloud Pub/Sub for use in other Google Cloud products through the Dataflow application.

You can also deploy instances of a service that may be deployed on a compute engine in multiple zones but subscribe to a common topic. Then, when the service fails in any zone, the other protocols can automatically pick up the load.

2. MuleSoft Anypoint Platform:

Anypoint Platform is a complete platform that lets companies like yours realize business transformation through Application Protocol Interface (API) driven connectivity. It is a unified, flexible integration platform that solves the most challenging connectivity problems across SOA, SaaS (Software As A Service) and APIs.

Using this, you can even write API specifications in OAS, RAML or AsyncAPI in a guided web interface. You can also simulate expected behavior with a shareable mocking service. You can even Integrate with common databases, applications, and other systems of record using hundreds of pre-built connectors. Another noteworthy feature of the Anypoint platform is that it lets you manipulate and transform data between any data format like XML and JSON.

3. IBM MQ:

It was formerly known as WebSphere MQ. This is essentially the global software and hardware giant IBM’s answer to Apache Kafka. This excellent messaging middleware simplifies and accelerates the integration of varied applications and data across different platforms. 

This software by IBM uses message queues to exchange information between various applications. It also uses a single messaging solution for the cloud (both on-premise, mobile and IoT environments). This is because it can virtually connect with everything ranging from a simple pair of applications to the most complex business applications.

Also, when compared with Apache, it improves responsiveness, controls costs, reduces risk and provides more real-time insight from data. 

4. RabbitMQ:

Do you need a certain data streaming platform which can wrap a workload API (Application Protocol Interface) with Kubernetes API. This is because as a business developer, you would always need to change your needs upon business and consumer requirements and hence need an extensive and flexible data streaming product. 

RabbitMQ can provide you just that. The Kubernetes API is specifically designed to be extended with new types of objects not included in base Kubernetes. The Kubernetes operator pattern also gives you the ability to create new custom resources as per preexisting or sudden needs and also manage them via the Kubernetes API. 

5. Amazon MQ:

Amazon is the world’s most valuable retailer, and not everyone knows but Amazon also has a dedicated and robust IT team who makes products like the cloud (AWS), data messaging brokers like the MQ and others. Amazon MQ is a managed data streaming message broker service that can be easily migrated to a message broker in the cloud. 

A message broker allows software applications and components to communicate using various programming languages, operating systems, and formal messaging protocols as of the present situation. Amazon MQ supports Apache ActiveMQ and RabbitMQ engine types.

Amazon SQS and Amazon SNS are queue and topic services that are highly scalable, simple to use, and don’t require your organization to set up message broker services. In case you are already using a message broker, then you should know that Amazon MQ supports a diverse set of APIs like the JMS or protocols such as AMQP 0-9-1, AMQP 1.0, MQTT, OpenWire, and STOMP.


Sometimes even the best software in the market fails to cater to each of our business’s diversified needs; hence, we need to look for solid alternatives. Use the guide above to find your ideal data streaming software.

Read also: 4 Elements Of Effective Contact Data Management

Apache Kafka 2022: Top 5 Alternate Data Streaming Platforms to Know in 2022

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