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Hadoop HDFS Review

Hadoop HDFS
Our score: 8.0 User satisfaction: 91%

What is Hadoop HDFS?

Hadoop HDFS is created using a distributed file system design. It operates on commodity hardware and is highly fault-tolerant and created using low-cost hardware, a far cry from other distributed platforms. The Hadoop Distributed File System (HDFS) functions as the main storage system used by Hadoop applications.

HDFS is a distributed file system that delivers high-performance access to data across Hadoop clusters. Like other Hadoop-related technologies, HDFS has evolved to become a critical application for handling pools of big data as well as supporting tools for big data analytics.

HDFS is capable of holding very large amount of data and gives users an easier access to them compared to other alternatives. To store such huge data, the files are placed across multiple machines. These files are stored in a redundant manner to save the system from potential data losses in case of failure. HDFS also makes applications available for parallel processing.

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Overview of Hadoop HDFS Benefits

HDFS is created to support applications with huge sets of data such as individual files that number into the terabytes. It leverages a master/slave architecture, with each cluster comprising of a single NameNode that handles file system operations and supports DataNodes that administer data storage on singular compute nodes.

HDFS is open source software. Once an organization decides to use HDFS, it can be implemented with zero licensing and support expenses. This cost advantage enables organizations to store and process orders of magnitude and more data per dollar than conventional SAN or NAS systems, which is the selling point for many of these other systems.

Because HDFS typically is implemented on low-cost commodity hardware, server failures occur every now and then. While HDFS is created to be highly fault-tolerant, the system continues to function because data is transferred rapidly between compute nodes once a node fails. The design effectively diminishes the risk of catastrophic failure, even if and when numerous nodes fail simultaneously.

When HDFS digests in data, it breaks the information down into separate pieces and delivers them to different nodes in a cluster, which allows for parallel processing. The file system also replicates each piece of data multiple times and delivers the copies to individual nodes, placing at least one copy on a different server rack than the others. This means that the data on nodes that crash can be found elsewhere within a cluster, enabling the processing to continue while the failure is resolved.

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Overview of Hadoop HDFS Features

  • File System Namespace
  • Data Replication
  • Data Disk Failure, Heartbeats, and Re-Replication
  • Cluster Rebalancing
  • Data Integrity
  • Data Blocks
  • Staging
  • Replication Pipelining
  • FS Shell
  • DFSAdmin
  • Browser Interface
  • Space Reclamation

Hadoop HDFS Position In Our Categories

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Position of Hadoop HDFS in our main categories:

TOP 500

Hadoop HDFS is one of the top 500 IT Management Software products

If you are interested in Hadoop HDFS it could also be sensible to investigate other subcategories of IT Management Software gathered in our database of SaaS software reviews.

There are popular and widely used systems in each software group. But are they necessarily the best fit for your enterprise’s special wants? A market-leading software product may have thousands of subscribers, but does it offer what you need? For this reason, do not blindly spend on popular systems. Read at least a few Hadoop HDFS IT Management Software reviews and think about the aspects that you desire in the software such as the price, main functionality, available integrations etc. Then, select a few systems that fit your requirements. Check out the free trials of these apps, read online comments, get clarifications from the seller, and do your investigation meticulously. This profound groundwork is certain to help you find the most excellent software solution for your organization’s unique requirements.

How Much Does Hadoop HDFS Cost?

Hadoop HDFS Pricing Plans:

Free Trial

Hadoop HDFS

Free

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What are Hadoop HDFS pricing details?

Hadoop HDFS Pricing Plans:

Free Trial

Hadoop HDFS

Free

The Hadoop Distributed File System (HDSF) is part of the Apache™ Hadoop® free open source project.

User Satisfaction

Positive Social Media Mentions 34
Negative Social Media Mentions 2

We realize that when you decide to get a IT Management Software it’s crucial not only to learn how experts rank it in their reviews, but also to find out whether the real users and businesses that purchased it are actually satisfied with the product. That’s why we’ve designer our behavior-based Customer Satisfaction Algorithm™ that aggregates customer reviews, comments and Hadoop HDFS reviews across a vast range of social media sites. The information is then presented in an easy to digest form revealing how many customers had positive and negative experience with Hadoop HDFS. With that information available you will be ready to make an informed buying decision that you won’t regret.

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Technical details

Devices Supported

  • Windows
  • Mac
  • Web-based

Deployment

  • On Premise

Language Support

  • English

Pricing Model

  • Free

Customer Types

  • Small Business
  • Large Enterprises
  • Medium Business

What Support Does This Vendor Offer?

  • email
  • phone
  • live support
  • training
  • tickets

What integrations are available for Hadoop HDFS?

No information available.

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Jenny Chang

By Jenny Chang

Jenny Chang is a senior writer specializing in SaaS and B2B software solutions. Her decision to focus on these two industries was spurred by their explosive growth in the last decade, much of it she attributes to the emergence of disruptive technologies and the quick adoption by businesses that were quick to recognize their values to their organizations. She has covered all the major developments in SaaS and B2B software solutions, from the introduction of massive ERPs to small business platforms to help startups on their way to success.

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