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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

Keeping in mind companies have unique business requirements, it is reasonable they steer clear of seeking a one-size-fits-all, ideal business application. Needless to say, it is difficult to come across such a software system even among popular software solutions. The logical step to do would be to shortlist the several key functions that merit scrutiny like important features, pricing, technical skill aptitude of staff, company size, etc. Then, you must do the research to a full extent. Have a look at some Hadoop HDFS analyses and explore the other applications in your list more closely. Such all-encompassing research ensure you avoid unsuitable applications and select the one that meets all the tools your company requires to realize efficiency.

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 considering Hadoop HDFS it might also be a good idea to investigate other subcategories of Best IT Management Software collected in our base of SaaS software reviews.

It is important to realize that almost no service in the Best IT Management Software category is a perfect solution able to fulfill all the needs of various business types, sizes and industries. It may be a good idea to read a few Hadoop HDFS Best IT Management Software reviews first as some software may excel only in a really small group of applications or be created with a really specific type of industry in mind. Others can function with an idea of being simple and intuitive and as a result lack complex functionalities needed by more experienced users. There are also solutions that cater to a wide group of customers and offer a rich feature base, but this frequently comes at a higher cost of such a solution. Be certain that you're aware of your requirements so that you pick a software that offers specifically the functionalities you search for.

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 important not only to find out how experts score it in their reviews, but also to find out whether the real users and businesses that use this software are indeed happy with the service. That’s why we’ve devised 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 featured in an easy to understand format indicating how many clients had positive and negative experience with Hadoop HDFS. With that information at hand you should be equipped to make an informed purchasing choice 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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