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Shinken VS Hadoop

Compare Shinken VS Hadoop and see what are their differences

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Shinken logo Shinken

Nagios compatible monitoring framework, written in Python

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Shinken Landing page
    Landing page //
    2021-10-16
  • Hadoop Landing page
    Landing page //
    2021-09-17

Shinken videos

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Difference between a Shinken, Iaito and Habikito

More videos:

  • Review - S.H.Figuarts Shinken Gold Review
  • Review - Samurai Gattai DX Shinken-Oh Review

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 Shinken and Hadoop)

Shinken

Hadoop

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Databases
0 0%
Databases
100% 100
Website Monitoring
100 100%
Website Monitoring
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Shinken and Hadoop. For example, how are they different and which one is better?
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Reviews

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

Shinken Reviews

We have no reviews of Shinken 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.

Shinken mentions (0)

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

Hadoop mentions (15)

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What are some alternatives?

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

Nagios - Complete monitoring and alerting for servers, switches, applications, and services

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

Gitwin - Enable your Windows system as a powerful and secure Git repository. Supports ssh, http(s) transports. Gitweb with highlighter and gravatar support available.

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

NIXStats - SaaS monitoring tool for window/linux servers and websites. Think up-time robot but with more features.

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

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