Looking for a Disco MapReduce alternative? We've compiled the best options based on user reviews, features, and pricing to help you find the right fit.
What is Disco MapReduce? Disco is an open-source MapReduce framework developed by Nokia for distributed computing of large data sets on clusters of commodity hardware. It includes features like fault tolerance, automatic parallelization, and job monitoring.
Apache Hadoop is an open source framework for storing and processing big data in a distributed computing environment. It provides …
Apache Spark is an open-source distributed general-purpose cluster-computing framework. It provides high-performance data processing and analytics engine for large-scale data …
Apache Flink is an open-source stream processing framework that performs stateful computations over unbounded and bounded data streams. It offers …
Amazon Kinesis is a managed service that allows for real-time streaming data ingestion and processing. It can ingest data streams …
Disco is an open-source MapReduce framework originally developed by Nokia for distributing the computing workloads of extremely large data sets across clusters of commodity hardware. It is designed to be scalable, fault-tolerant and easy to use.Some key features of Disco MapReduce include:Automatic parallelization and distribution of MapReduce jobsFault tolerance - automatic retry of failed jobsSupport for different storage systems like HDFS, Amazon S3Web-based job monitoring and control interfaceLightweight Python programming interfaceBatch-oriented and stream-oriented MapReduce interfacesDisco can handle very large data …
Pricing: Open Source
| Software | Pricing | Score |
|---|---|---|
| Disco MapReduce | Open Source | — |
| Apache Hadoop | Free | — |
| dispy | Free | — |
| Apache Spark | Free | — |
| Apache Flink | Free | — |
| Amazon Kinesis | N/A | — |
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