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Apache Hadoop

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What is Apache Hadoop?

Apache Hadoop is reliable software library built for distributed processing of massive datasets over computer clusters. It offers simple and efficient programming models, making it effortless to expand from single servers to thousands of machines. By harnessing the computing and storage capabilities of each machine, Apache Hadoop is the ideal solution for effectively managing and analyzing large amounts of data.

Apache Hadoop Pricing

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Key Features of Apache Hadoop

  • Hdfs (hadoop Distributed File System)
  • Mapreduce
  • Yarn (yet Another Resource Negotiator)
  • Hbase
  • Hive
  • Pig
  • Sqoop
  • Flume
  • Oozie
  • Zookeeper
  • Ambari
  • Mahout
  • Cassandra
  • Spark
  • Storm
  • Tez
  • Ranger
  • Atlas
  • Knox
  • Slider
  • Show More

Specifications

Apache Hadoop FAQ's

The top 5 features of Apache Hadoop include:

  • Hdfs (hadoop Distributed File System)
  • Mapreduce
  • Yarn (yet Another Resource Negotiator)
  • Hbase
  • Hive

Apache Hadoop supports a variety of platforms including: Email.

Apache Hadoop serves a wide range of businesses including StartUps, SMBs, Mid-Market, Enterprises.

The top three competitors of Apache Hadoop are Sisense, ATLAS.ti and Adverity. To find the best fit for your business, compare and evaluate each platform's features, advantages, disadvantages, and other key aspects.

Apache Hadoop is available exclusively in English, providing a streamlined experience for English-speaking users.

Alternatives of Apache Hadoop

Sisense
ATLAS.ti
Adverity
datapine
Arcadia Data
SAS Data Management
RapidMiner
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