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sbt, a widely used build tool for Scala projects; Spark Framework is designed to handle, and process big-data and it solely supports Scala; Neo4j is a java spring framework supported by Scala with domain-specific functionality, analytical capabilities, graph algorithms, and many more; Play!, an open-source Web application framework that ...
This article lists concurrent and parallel programming languages, categorizing them by a defining paradigm.Concurrent and parallel programming languages involve multiple timelines.
Apache Flink is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming data-flow engine written in Java and Scala. [3] [4] Flink executes arbitrary dataflow programs in a data-parallel and pipelined (hence task parallel) manner. [5]
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance . Originally developed at the University of California, Berkeley 's AMPLab , the Spark codebase was later donated to the Apache Software Foundation ...
This is an index to notable programming languages, in current or historical use. Dialects of BASIC, esoteric programming languages, and markup languages are not included. A programming language does not need to be imperative or Turing-complete, but must be executable and so does not include markup languages such as HTML or XML, but does include domain-specific languages such as SQL and its ...
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.
An actor implementation, written by Philipp Haller, was released in July 2006 as part of Scala 2.1.7. [4] By 2008 Scala was attracting attention for use in complex server applications, but concurrency was still typically achieved by creating threads that shared memory and synchronized when necessary using locks.
Processing unit The unit of scalability and fail-over. Normally, a processing unit is built out of a POJO (plain old Java object) container, such as that provided by the Spring Framework. Virtual middleware A common runtime and clustering model, used across the entire middleware stack. The core middleware components in a typical SBA ...