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We've compiled a list of 7 free and paid alternatives to Disco MapReduce. The primary competitors include Softr, VWO Fullstack. In addition to these, users also draw comparisons between Disco MapReduce and Apache Spark, Apache Hadoop, Amazon Kinesis. Also you can look at other similar options here: Development Software, Web Frameworks.
We've compiled a list of 7 free and paid alternatives to Disco MapReduce. The primary competitors include Softr, VWO Fullstack. In addition to these, users also draw comparisons between Disco MapReduce and Apache Spark, Apache Hadoop, Amazon Kinesis. Also you can look at other similar options here: Development Software, Web Frameworks.
Softr is a platform for creating websites and web applications without code. It provides tools for quick creation of websites, online stores, landings, blogs and other online projects.
Effortlessly trial and implement intricate features with VWO FullStack. It offers server-side adaptability for diverse experiments with in-depth segmentation, ensuring optimal performance and consistent user experiences across channels.
Apache Spark™ is a fast and general engine for large-scale data processing. Speed
Apache Hadoop is a open source software framework that supports data-intensive distributed...
Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
dispy is a Python framework for parallel execution of computations by distributing them across...
Flink’s core is a streaming dataflow engine that provides data distribution, communication, and...
Disco is a lightweight, open-source framework for distributed computing based on the MapReduce...
Disco is a lightweight, open-source framework for distributed computing based on the MapReduce...
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Disco is an implementation of mapreduce for distributed computing. Disco supports parallel computations over large data sets, stored on an unreliable cluster of computers, as in the original framework created by Google. This makes it a perfect tool for analyzing and processing large data sets, without having to worry about difficult technicalities related to distribution such as communication protocols, load balancing, locking, job scheduling, and fault tolerance, which are handled by Disco.
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