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Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala . The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views streams, or sequences of events in time, as the central input and output objects of computation.
Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
RabbitMQ is an open-source message-broker software (sometimes called message-oriented middleware) that originally implemented the Advanced Message Queuing Protocol (AMQP) and has since been extended with a plug-in architecture to support Streaming Text Oriented Messaging Protocol (STOMP), MQ Telemetry Transport (MQTT), and other protocols.
The batch and streaming sides each require a different code base that must be maintained and kept in sync so that processed data produces the same result from both paths. Yet attempting to abstract the code bases into a single framework puts many of the specialized tools in the batch and real-time ecosystems out of reach.
Allura: Python-based open source implementation of a software forge; Ambari: makes Hadoop cluster provisioning, managing, and monitoring dead simple; Ant: Java-based build tool AntUnit: The Ant Library provides Ant tasks for testing Ant task, it can also be used to drive functional and integration tests of arbitrary applications with Ant
LoadRunner is a software testing tool from OpenText.It is used to test applications, measuring system behavior and performance under load.. LoadRunner can simulate millions of users concurrently using application software, recording and later analyzing the performance of key components of the application whilst under load.
A distributed, cloud-enabled and massively scalable graph database for complex, real-time queries and operations. Its Vertex and Edge objects have unique 64-bit object identifiers that considerably speed up graph navigation and pathfinding operations. It supports batch or streaming updates to the graph alongside concurrent, parallel queries.