Apache Kafka is a distributed commit log for fast, fault-tolerant communication between producers and consumers using message based topics. Kafka provides the messaging backbone for building a new generation of distributed applications capable of handling billions of events and millions of transactions.
Apache Kafka on Heroku is a tool in the Background Jobs category of a tech stack.
No pros listed yet.
No cons listed yet.
What are some alternatives to Apache Kafka on Heroku?
It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream
With Amazon MSK, you can use Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Amazon Managed Streaming for Kafka makes it easy for you to build and run production applications on Apache Kafka without needing Apache Kafka infrastructure management expertise.
It is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps.
It is an enterprise platform for Apache Kafka that offers a friendly GUI, a unified testing platform, data quality management and advanced monitoring tools. With thousands of happy users from some of the world’s leading companies, it helps engineering teams everywhere harness the power of real-time data.
Kafka, Coralogix are some of the popular tools that integrate with Apache Kafka on Heroku. Here's a list of all 2 tools that integrate with Apache Kafka on Heroku.
Discover why developers choose Apache Kafka on Heroku. Read real-world technical decisions and stack choices from the StackShare community.