Distributed computing, secure containerization, and governance capabilities are the most valuable features.

The upgrades and patches must come from Hortonworks. Therefore, if we encounter any problems, they will be responsible for addressing them. This is one of the instances where we have to rely on them for all the upgrades.

It is one of the better technology in terms of Hadoop.

The product offers a fairly easy setup process. 

It is quite stable.

The scalability is good. 

The most valuable part of this product is what Cloudera Data Science Workbench can do as a whole for modeling and analysis.  

It has a powerful, user-friendly interface called Ambari which allowed us to administrate our cluster easily.

One of the most valuable features is that you can configure your data nodes in the big data. Whatever you want. Normally, for example, if you are testing websites and Hash clouds and other sites, in most of them you must manage more than three or four requirements. For example, you must install each feature, you must compile some additional things, and also you must manage more than three configuration files to enable all the nodes to work together.

In the Hortonworks solution, you just need the service, and you just want to install it once to get started on projects easily. You can just click run and it's already installed and you can create and communicate between your services.

The HDFS (Java-based file system) and Hive Utilities are proving to be most useful.

The data platform is pretty neat. The workflow is also really good. 

• Ambari
• Hive
• Sqoop
• Flume
• Spark

• Open-source
• Big community

• It's the one and only complete open source big data platform
• Ambari-managed admin configuration for HDFS, YARN, Hive, HBase, etc.
• Customized dashboards
• Web-based HDFS browser
• SQL editor for Hive
• Apache Phoenix - OLTP and operational analytics on Hadoop
• Apache Zeppelin - A web-based notebook that enables interactive data analytics

We evaluated Cloudera and Hortonworks. Based on our evaluation and actual experience in production of 60 nodes and development of 12 nodes, the most valuable features of Hortonworks are:

• 100% open
• No lock-in like Cloudera
• Fast and accurate support instantly
• Largest number of committers to Hadoop by any means
• Hive is better in performance and ease of use compared to Impala

Its flexibility is the most valuable feature because you can leverage any Hadoop component and take full advantage of its open source capabilities.

Ease of deployment and management of the Hadoop cluster are features we've found most valuable.

I have no preferences towards any feature.

Its ability to scale out seamlessly with little to no effort is very valuable to us. All the tools in the stack are built from the ground up to support massive amounts of data.

There’s not only one, the all-stack of Hadoop is valuable, the distributed file system HDFS, Spark, Kafka, HBase, etc. Hortonworks has certainly got the most up-to-date version of each component of Hadoop.

Compared to the other Hadoop distributions, the Ambari server provides the user an easy way to manage, to administrate and to configure their cluster. Ambari also provides a single view that gives you the possibility to use different Hadoop components from the same web interface.

The features I've found most valuable are--

• Ambari UI
• Hive
• Pig
• Hive
• Also integrated Tableau with this distribution

From a product standpoint, their Ambari UI is incredibly valuable for cluster monitoring. It simplifies the deployment and maintenance of hosts, and we can provision, configure and test Hadoop services.

Hortonworks is 100% Open Source. Hortonworks does a great job in managing all different components of Hadoop.

There are several features that are most valuable for us--

• Hue
• Hive
• Spark
• S3

A few of them, namely: Hive/Tez, HBase, Ranger, Yarn and Ambari. Ambari helps managing the platform, Hive is very easy to use. Ranger for security; with Ranger we can manager user’s permissions/access controls very easily.

• Ambari Web UI: user-friendly
• Views for Hive, Tez, Pig
• Spark and Ranger