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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:


Hadoop HDFS is one of the top 500 IT Management Softwareproducts


Hadoop HDFS is one of the 500
IT Management Software products

If you are interested in Hadoop HDFS it may also be sensible to investigate other subcategories of Best IT Management Software listed in our base of B2B software reviews.IT Development Software, IT Security Software

It is important to realize that almost no service in the IT Management Software category will be an ideal solution able to fulfill all the needs of all company types, sizes and industries. It may be a good idea to read a few Hadoop HDFS reviews first as specific solutions might perform well only in a very small set of applications or be designed with a really specific industry in mind. Others can function with an idea of being simple and intuitive and consequently lack advanced functions desired by more experienced users. You can also find software that cater to a wide group of users and provide a complex feature base, but that in most cases comes at a higher cost of such a solution. Make sure you're aware of your needs so that you select a solution that provides specifically the features you look for.

How Much Does Hadoop HDFS Cost?

Hadoop HDFS Pricing Plans:
Free trial
Hadoop HDFS

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

User Satisfaction

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.






Technical details

Devices Supported
  • Windows
  • Mac
  • Web-based
Language Support
  • English
Pricing Model
  • Free
Customer Types
  • Small Business
  • Large Enterprises
  • Medium Business
  • On Premise

What Support Does This Vendor Offer?


What are Hadoop HDFS pricing details?

Hadoop HDFS Pricing Plans:
Free trial
Hadoop HDFS

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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