Hadoop HDFS Reviews & Product Details

1.Data accessibility is very fast for huge amount of data.

2.It keeps multiple copies which makes it fault tolerance, during failure scenario.

3. It mainly uses commodity hardware, making it cost effective. Review collected by and hosted on G2.com.

The major drawback is for small amount of data, as the processing which traditional system would have take for small data would be less. Review collected by and hosted on G2.com.

HDFS is fault tolerance and can handle bulk data easily.

Cost at the end of the day for setting up Hadoop system is less, hence leading in less cost for storing bulk data.

It makes multiple copies of single data, which can be treated as a backup. Review collected by and hosted on G2.com.

There are not much things for dislike, but few of them are

1. Security by default is not enabled in Hadoop system causing lac of security constrain.

2.For small data, this is not fit, as it may consume the same amount of time as for bulk data. Review collected by and hosted on G2.com.

The Word itself Hadoop Distributed File System, Its a file system of its own , that is it is like FAT, FAT32 NTFS or ext4 to whatever the system that we have seen, It is a file system to store the data

It is better than any other storage system because of the simple fact that it does not rely on any other file system to store the data.

The other things that I like is it can be increased to any extent and is capable of handling the pica bytes of data. It has capability to store and make the data available to any large resource.

And the Ambari UI that is awesome to work on. Review collected by and hosted on G2.com.

The only fact that it is built in java so its very complex to start working with this solution, it require huge experience to start working with Hadoop. Review collected by and hosted on G2.com.

Its a file system like NTFS,ext4,FAT32 or any of the file system you may be knowing.

So now we have a filesystem for a data related activities. So it excites me more than what it does actually.

It has scaled the data storage to a level where it has evolved itself a mainstore File System. Review collected by and hosted on G2.com.

There is nothing that one can dislike about the product except the fact it is immensely big in size.

It's a huge thing to learn and implement and to be an expert we need to dedicate ourself to this huge thing. Review collected by and hosted on G2.com.

Fairly intimidating at first but once you get a grip, it is easy to use. It can get complicated with all the additional functions/platforms that you can use on top of it. But I would certainly recommend the product. Review collected by and hosted on G2.com.

It can get a bit intimidating and complicated with all the platforms on top of it. Review collected by and hosted on G2.com.

HDFS benefits from a vibrant community of passionate open-source software contributors who have made it the filesystem of choice for users trying to get fault-tolerance and performance without vendor lock-in. It also has a number of easy-to-use access points (the HDFS shell, Java API, Thrift, and REST being the most popular), which means you can reach your data through whatever means you'd like. Review collected by and hosted on G2.com.

HDFS is not the easiest distributed filesystem to use and a number of design decisions made have led to some believing that it's not as performant as it could be since it tries to be everything for everyone. Look elsewhere if you have a very specific use-case as far as availability is concerned, for example. Review collected by and hosted on G2.com.

HDFS runs usually on top of commodity hardware and failure could be common. I really like fault handling feature of HDFS because it can accommodate failures and still do MAP REDUCE jobs in parallel with lightening speed. Review collected by and hosted on G2.com.

Set up of HDFS is extremely painful especially dealing with all permissions and ownerships. In addition to that, there are so many products being developed nowadays and it's extremely hard to keep up with those. Review collected by and hosted on G2.com.

HDFS is effective for working with large files. The command-line functionality of HDFS is straightforward and options like put, get, copy are easy to use. Review collected by and hosted on G2.com.

HDFS does not support some options that other file systems support. Review collected by and hosted on G2.com.

The Scalability of the software.

It can scale in both horizontally as well as vertically.

the data is always available.

And the ambari UI, for the UI folks who want the changes to be seen. Review collected by and hosted on G2.com.

The HIVE I am unable to understand the implementation.

the community support is nice but as a beginner need to spend a lot of time studying the concept Review collected by and hosted on G2.com.

With HDFS, we can manage our data storage distributed over a cluster of ordinary machines.

You data is reliabe and never loss unless you remove it. Review collected by and hosted on G2.com.

HDFS is cannot be used as local data.

If you want to process the data, you can only download it, or run them on MapReduce. Review collected by and hosted on G2.com.