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Hadoop HDFS Review
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.
Show MoreOverview 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.
Show MoreOverview 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
Because companies have particular business requirements, it is logical that they abstain from going for an all-in-one, ideal business program. Still, it would be hard to stumble on such an app even among sought-after software systems. The best step to undertake is to list the varied key aspects that entail research like critical features, packages, technical skill levels of the users, organizational size, etc. After which, you must double down on your product research through and through. Read some Hadoop HDFS evaluations and scrutinize the other software systems in your list more closely. Such well-rounded research ensures you take out poorly fit applications and select the system which meets all the tools your company requires.
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 examine other subcategories of IT Management Software listed in our database of B2B software reviews.
It is crucial to realize that virtually no app in the IT Management Software category will be a perfect solution that can fulfill all the requirements of different company types, sizes and industries. It may be a good idea to read a few Hadoop HDFS IT Management Software reviews first as some services can excel only in a very small group of applications or be prepared with a very specific industry in mind. Others may operate with a goal of being simple and intuitive and as a result lack complicated elements needed by more experienced users. You can also come across solutions that focus on a large group of customers and provide a rich feature set, however this in most cases comes at a more significant cost of such a service. Ensure you're aware of your needs so that you choose a service that offers all the features you look for.
How Much Does Hadoop HDFS Cost?
Hadoop HDFS Pricing Plans:
Free Trial
Hadoop HDFS
Free
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
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Video
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?
- phone
- live support
- training
- tickets
What integrations are available for Hadoop HDFS?
No information available.
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