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MapR VS Hadoop

Compare MapR VS Hadoop and see what are their differences

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Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app. featured
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MapR logo MapR

MapR is a leading high-performance data management or IT management solution that integrates Apache Drill, Hadoop and Spark with real-time global event streaming, scalable enterprise storage, and database capabilities in order to control large appli…

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • MapR Landing page
    Landing page //
    2022-10-09
  • Hadoop Landing page
    Landing page //
    2021-09-17

MapR

Categories
  • Data Integration
  • Monitoring Tools
  • Log Management
  • Git
Website mapr.com
Details $-
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Hadoop

Categories
  • Databases
  • NoSQL Databases
  • Big Data
  • Relational Databases
Website hadoop.apache.org
Details $
Edit details

MapR videos

+ Add

Hadoop Distribution Comparison and Overview: Cloudera, MapR, and Hortonworks

More videos:

  • Review - The Answer to Life, the Universe, and Everything (sponsored by MapR) - Ted Dunning (MapR)
  • Review - Big Data & Brews: Tomer Shiran of MapR Talks About the Hadoop Market and the Company's Success

Hadoop videos

+ Add

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 MapR and Hadoop)

MapR

Hadoop

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Databases
0 0%
Databases
100% 100
Log Management
100 100%
Log Management
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using MapR 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 MapR and Hadoop

MapR Reviews

We have no reviews of MapR 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.

MapR mentions (0)

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

Hadoop mentions (15)

View more

What are some alternatives?

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

Cryptlex - Cryptlex is an IT Management software, designed to help you maximize the revenue potential of your software by protecting you against software piracy.

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

Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.

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

BetterCloud - BetterCloud provides critical insights, automated management, and intelligent data security for cloud office platforms.

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

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