Cloudera Enterprise Data Hub

It is an integrated suite with all analytics engines in one place.

Help discover data across workloads.

Grow business by automating workflow: customer experience and marketing automation.

Protect business through risk modeling and analysis.

For newbies, it can be challenging to customize some features since there’s not enough documentation.

Improve on version control.

Cloudera enables the use of options to automate, build, and deploy machine learning and artificial intelligence.

Cloudera helps build the self-service machine learning workflow by providing technologies that make data science easy.

Some of Cloudera's documentation is not accurate or informative enough for newcomers.

In terms of membership pricing, I would like Cloudera to be more profitable.

Cloudera excels at consolidating existing data clusters without interfering with application performance.

Cloudera simplifies operations by providing separate compute containers that can be individually configured or upgraded based on the needs of each department in a common cluster.

Cloudera membership fees are expensive; I think they could be more profitable than competing technologies.

Stability

Support

Documentation

More Up to date technologies(e.g. Spark 2.2)

Data Science Workbench improvement

Data quality tools

One of the oldest distributors of enterprise standard Hadoop.

Distribution is based on open source Hadoop even though customizations are done on top of that.

Faster updates and bug fixes to the products as they have Apache committers.

Central configuration and control of your Hadoop platform (but still needs improvements).

Not fully Open Source, couple of components of the distributions are privately owned, meaning with public contributions are not welcome

Improvements to Cloudera manager can only be recommended. its very hard to get it done once recommended as the full control is with them.

Should make components more aligned to Open Source rather than making it closed sourced.

Custom Features of open source software tools supported only by Cloudera are tricky. Cant commit changes to tools like Hue.

Improvements to Cluster Management tool is required, which are already available to its competitors.

Excellent management capabilities via Cloudera Manager.

Open source and does not restrict our data to be bound by a proprietary format.

Offers excellent support for data governance and auditing.

Has all the components that would help us build a data hub.

Excellent platform support offered by Cloudera.

More flexible pricing of the support subscription.

Looking forward to the integration of Oozie and Impala

Centralized configuration

Centralized management

Dashboard

More help on UI options

Massive amounts of data consumption. It is fairly easy to implement and understand how to manage a Hadoop cluster.

Cloudera makes the management of a cluster much easier than installing and managing it with the pure Apache version.

Lots of documentation that is easy to find if you know exactly the right version of what you are looking for. Lots of "knob" turning.

Wide range of Products available on Cloudera which runs on MapReduce framework.

Easy to install on Virtual Machines. All the products are available on the website and steps for installation are easily available and well documented with examples and case scenarios.

All the products with latest versions are available which can be easily installed via yum.

Cloudera Impala which the fastest way to query the HDFS without using MapReduce framework. This is freely available on their website while with Amazon EC2 machines and Windows Azure you have to shell some money for using their machine.

Some of the previous versions have compatibility issues with latest CentOS Virtual machines. So you have to take care of the Cloudera product's versions as well as CentOS version.

Compatibility issues with installation on Mac. Everything is Linux based so user has to have good knowledge of Linux commands.

GUI's are missing

I ended up spending time on matching the exact Cloudera product version with CentOS version. So had invested a lot of time in installtion/uninstallation of these products until u match/find the exact version. I had issues while installing Impala maybe it was new when i had a chance to work on Cloudera Impala.

Gives a view of the entire ecosystem

Enables the management of a cluster as a cluster, not individual servers

Eliminates the possibility of manual error executing complex administration tasks

I have no suggestions...yet.

Cloudera was able to help the deployment of nodes and consistency on the content deployment across multiple server blades.

As any new technology, difficult to hire resources who know the solution specially in APJC to help with Lab and PoC activities.

Quick search and sort

Fast response time

Big Data management

Ability to make easy to program the Map Reduce jobs

Ability to easily administer with an easy to use UI