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What is Apache Hadoop? Apache Hadoop is an open source framework for storing and processing big data in a distributed computing environment. It provides massive storage and high bandwidth data processing across clusters of computers.
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 developed by Nokia for distributed computing of large data sets on clusters of commodity …
Apache Hadoop is an open source software framework for distributed storage and distributed processing of very large data sets on computer clusters. Hadoop was created by the Apache Software Foundation and is written in Java.Some key capabilities and features of Hadoop include:Massive scale - Hadoop enables distributed processing of massive amounts of data across clusters made up of commodity hardware.Fault tolerance - Data and application processing is redundantly distributed across the cluster so that failures of individual computers does not …
Pricing: Free
| Software | Pricing | Score |
|---|---|---|
| Apache Hadoop | Free | — |
| dispy | Free | — |
| Apache Spark | Free | — |
| Apache Flink | Free | — |
| Amazon Kinesis | N/A | — |
| Disco MapReduce | Open Source | — |
| Upsolver | N/A | — |
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