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Disco MapReduce VS Hadoop

Compare Disco MapReduce VS Hadoop and see what are their differences

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Disco MapReduce logo Disco MapReduce

Disco is a lightweight, open-source framework for distributed computing based on the MapReduce...

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Disco MapReduce Landing page
    Landing page //
    2019-05-17
  • Hadoop Landing page
    Landing page //
    2021-09-17

Disco MapReduce videos

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The Disco MapReduce Framework

Hadoop videos

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What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to Disco MapReduce and Hadoop)

Disco MapReduce

Hadoop

Big Data
20 20%
Big Data
80% 80
Databases
14 14%
Databases
86% 86
Stream Processing
37 37%
Stream Processing
63% 63
Relational Databases
0 0%
Relational Databases
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Disco MapReduce and Hadoop

Disco MapReduce Reviews

We have no reviews of Disco MapReduce yet.
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Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Hadoop seems to be more popular. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Disco MapReduce mentions (0)

We have not tracked any mentions of Disco MapReduce yet. Tracking of Disco MapReduce recommendations started around Mar 2021.

Hadoop mentions (15)

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What are some alternatives?

When comparing Disco MapReduce and Hadoop, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

asyncoro - asyncoro is a Python framework for developing concurrent, distributed programs with asynchronous...

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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