RabbitMQ
vs
Apache Spark
RabbitMQ
Apache Spark
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 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.
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 Spark
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 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.
How much does Apache Spark cost?
No pricing information available..
What platforms does Apache Spark support?
Top Apache Spark Alternatives
Apache Flink
Apache Flink is a free and open-source stream framework used for processing big data. The software is developed openly by the Apache Software Foundation and the community. The core of Apache Flink is written in Java and Scala as a distributed streaming data-flow engine. Data-flows executed by Flink programs are pipelined and run parallel to maximize efficiency.
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.
Apache Hadoop
Apache Hadoop is a free and open source software library that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Apache Hadoop is designed to scale well, from single servers to thousands of machines offering local computation and storage. With Apache Hadoop you can store any kind of data and utilize the enormous processing power with the ability to handle virtually limitless concurrent tasks or jobs.
The software
RabbitMQ
is removed from the Top Apache Spark Alternatives since you are comparing against it.
If you are looking for more software, applications or projects similar to
Apache Spark
we recommend you to check out our full list containing 5 Apache Spark Alternatives.