RabbitMQ
vs
Apache Kafka
RabbitMQ
Apache Kafka
What is RabbitMQ?
With RabbitMQ your applications gets a common platform to send and receive messages, and your messages a safe place to live until received. Allowing your application to handle long-running or blocking tasks, and respond quickly to requests instead of being forced to perform computationally intensive tasks on the spot. The software is developed and released as open-source and is currently the most widley used free and open-source message-broker. Commercial, enterprise releases of RabbitMQ is also avalible for a subscription fee.
How much does RabbitMQ cost?
No pricing information available..
What platforms does RabbitMQ support?
Top RabbitMQ Alternatives
Apache Spark
Apache Spark is a free and open-source, unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. With Apache Spark, you can write application quickly in Java, Scala, Python, R, and SQL. Spark also offers over 80 high-level operators that make it easy to build parallel apps. You can run Apache Spark anywhere, as a standalone product, in the cloud or on Hadoop, Apache Mesos or Kubernetes.
Amazon Kinesis
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis is part of the Amazon Web Services offering and and allow you to create data-processing applications withing your AWS dashboard. These data-processing applications are also known as Kinesis Data Streams applications and allow developers to take in large amount of data from several sources, while providing scalabillity running on EC2 instances.
Apache Storm
Apache Storm makes it easy to reliably process unbounded streams of data for real-time processing. It is a distributed stream processing computation framework written predominantly in the programming language Clojure. The software is released free and open-source under the Apache License. In a nutshell, Apache Storm does to real-time processing, what Apache Hadoop did to bactch processing. Large corporations like Weather Channel, FullContact, Twitter, Yahoo, Spotify, and Alibaba use and trust Apache Storm for big data analytics with fault-tolerance and fast data processing.
The software
Apache Kafka
is removed from the Top RabbitMQ Alternatives since you are comparing against it.
If you are looking for more software, applications or projects similar to
RabbitMQ
we recommend you to check out our full list containing 4 RabbitMQ Alternatives.
RabbitMQ Gallery
What is Apache Kafka?
Trusted by more than 80% of all Fortune 100 companies. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. The software is used for both real-time and batch data processing, and is the chosen event log technology for Amadeus microservice-based streaming applications. Apache Kafka is also used for operational use cases such as application and service logs collection.
How much does Apache Kafka cost?
No pricing information available..
What platforms does Apache Kafka support?
Top Apache Kafka Alternatives
Raygun
Raygun is an application monitoring and performance insight tool that helps you and your team to proactively find, diagnose and fix software errors and performance problems. Raygun is trusted by thousands of innovative organizations that use the tool to ship better experiences to their customers.
Sentry
Over 1 million developers across 60,000 organization use Sentry to diagnose, fix, and optimize the performance of their code. Sentry is a commerical application monitoring platform that allow them to ship better software faster.
Apache Spark
Apache Spark is a free and open-source, unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. With Apache Spark, you can write application quickly in Java, Scala, Python, R, and SQL. Spark also offers over 80 high-level operators that make it easy to build parallel apps. You can run Apache Spark anywhere, as a standalone product, in the cloud or on Hadoop, Apache Mesos or Kubernetes.
The software
RabbitMQ
is removed from the Top Apache Kafka Alternatives since you are comparing against it.
If you are looking for more software, applications or projects similar to
Apache Kafka
we recommend you to check out our full list containing 5 Apache Kafka Alternatives.