Apache Flink

vs

Apache Storm

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.

Apache Flume is a free and open source, distributed software for efficiently collecting, aggregating, and moving large amounts of log data. With Apache Flume you can create data pipelines for you log data with a simple and flexible architecture based on streaming data flows. Apache Flume uses a simple extensible data model that allows you to create online analytic applications that are fault tolerant and reliable with many failover and recovery mechanisms.

Apache Airflow is a community created workflow management platform. The software is both free and open-source, and can be used to reduce complexity in organizations workflow. Apache Airflow is modular by nature, and has an architecture that makes it easy to customize to organizations specific needs. The software was was first developed at Airbnb to where it was used to programmatically author and schedule their workflows, allowing the organization to monitor them via the built-in Airflow dashboard.

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.

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.

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.