Hortonworks Data Platform Reviews

.Open source Apache Hadoop based platform for Bigdata

Few features lack in HDP management tool ambari compared to other distribution like Cloudera

Bigdata lake which provides base for many analytics tools and data warehousing solution

Handling scale spark integration and hugs management

Bottlenecks And congestion. Speed for getting large amount of data is slow sometimes

Data storage and log management

HDP is the closest open source platform you can get in hadoop eco system with more choice of tools than everything else. The convenience of Ambari UI and API for building, deploying and managing the cluster makes it relatively easy to get started. With Yarn and Spark you can mix different nodes for storage and compute and master nodes to manage loads.

Version upgrades are more challenging than anticipated. Each upgrade has it's own quirks and compatibility issues that need to be resolved manually.

Building and deploying large scale Hadoop/Hive/Yarn/Spark clusters with hundreds of nodes in distributed environments on AWS.

Documentation with clear examples. Easy for any beginner to start with hadoop.

Their blogs are really good to find solutions for the common problems that we come across.

Due to it's good performance, we eventually moved from cloudera to hortonworks platform.

It supports Windows platform as well.

1. Knowledge base of the original committers

2. Very good support team

3. Provides more features for the money

4. SmartSense of HDP is a great way of understanding the problems before they happen

opensource. great community support and documentation.

improved commercial support and documentation.

large data analysis.

.The tez engine ,hortonworks sandbox which can be installed for learning and development purposes

Real time analytics like impala is unavailable

Enterprise hadoop platform

Analytics on large datasets,cheap and scalable storage along with a distributed framework

The tutorials that they provide on their website are the best.

So, simplified and easy to understand. Plus they also provide us with the working model of their implementation which we can implement ourself side by side giving us a feel of what is happening and how it is happening.

They have also attached screenshots of each and every screen which helps us a lot. The comment section that they have included also helps us solve the error because sometimes same error had been faced by some other person and experts helps us solve that error.

I just dislike the virtual image they provide us. My laptop configurations is decent enough to support cloudera's Vm and run processes on it but the VM that they have provided are too slow to process. Plus, in some tutorials, especially the projects that they have mentioned, I tried to implement that and I was getting errors which I was unable to resolve.

100% Open Source

Employs Commiters of Top Apache Projects(HDFS,YARN,HBase,Hive,Pig, etc)

Fully Focused on Hadoop Platform

Enterprise support cost is lower as compared to CDH(per node)

.Consistent with my experiences with Horton

Can be a little cumbersome to learn where the action buttons "live"

Benefits have been streamlined and easily digestible fact based decions