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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.

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.

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

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 may also be beneficial to investigate other subcategories of IT Management Software listed in our database of B2B software reviews.

Every company is different, and might require a specific IT Management Software solution that will be designed for their business size, type of clients and employees and even specific niche they cater to. We advise you don't count on locating a perfect app that is going to be suitable for each company no matter what their background is. It may be a good idea to read a few Hadoop HDFS IT Management Software reviews first and even then you should keep in mind what the service is intended to do for your company and your workers. Do you need an easy and intuitive app with only elementary functions? Will you really use the advanced functionalities needed by experts and big enterprises? Are there any specific tools that are especially practical for the industry you operate in? If you ask yourself these questions it is going to be much easier to get a reliable solution that will match your budget.

How Much Does Hadoop HDFS Cost?

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 make a decision to buy IT Management Software it’s important not only to see how experts evaluate it in their reviews, but also to find out if the real people and companies that buy it are actually satisfied with the product. That’s why we’ve created our behavior-based Customer Satisfaction Algorithm™ that gathers customer reviews, comments and Hadoop HDFS reviews across a wide range of social media sites. The data is then presented in an easy to digest form showing how many people had positive and negative experience with Hadoop HDFS. With that information at hand you should be equipped 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

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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.

What integrations are available for Hadoop HDFS?

No information available.

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Reviewed By Jenny Chang
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