Amazon Web Services vs. Cloudera Data Science Workbench

One of the scenarios I can think of is to Deploy a web application that may experience fluctuating traffic. AWS EC2 and Elastic Beanstalk allow for quick deployment and easy scaling accommodating traffic spikes without downtime. Next thing is to analyze large datasets for business insights. AWS services like EMR (Elastic MapReduce) and Redshift enable efficient processing and analysis of big data with minimal setup. Now for one of the scenarios where is less appropriate is if we want to host a simple static website, for basic sites using a dedicated hosting service like GitHub Pages or Netlify may be simpler and most effective than AWS

Incentivized

Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.

Incentivized

• Starting an instance and accessing it for testing purpose, demo or production deployment its always easy.
• All the things which are available over AWS are pretty well managed and easy to use.
• You might find everything you required for an product and other development over AWS.
• Its suitable for both either an enterprise or an startup
• Various resources and documentation are available in case you struck somewhere.

Incentivized

• One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
• For larger organizations/teams, it lets you be self reliant
• As it sits on your cluster, it has very easy access of all the data on the HDFS
• Linking with Github is a very good way to keep the code versions intact

Incentivized

• If there is one thing I think AWS needs improvement on, it is the administration dashboard. It can be a nightmare to use especially when trying to access billing. This could be made better, honestly, as there should be a simplified way to access simple admin features.
• While AWS was fairly easy to integrate into our solutions, it is not as easy to use without some IT knowledge. The dashboards are complicated and designed for someone who is computer savvy. If you are just want to keep track of billing, for example, you may need to take a course or spend a few hours with someone being walked through the admin console.
• AWS does tend to be slow at times. If you do not have a fast internet connection, it can take time to access services that are hosted on AWS. This is not always the case but we have had clients complain about this if they are trying to access a service from multiple points (IP addresses). The only real fix we found was to make our files cache to another server and only keep current data accessible to clients.

Incentivized

• Installation is difficult.
• Upgrades are difficult.
• Licensing options are not flexible.

Incentivized

We are almost entirely satisfied with the service. In order to move off it, we'd have to build for ourselves many of the services that AWS provides and the cost would be prohibitive. Although there are cost savings and security benefits to returning to the colo facility, we could never afford to do it, and we'd hate to give up the innovation and constant cycle of new features that AWS gives us.

The overall usability is simple but also provides a very good outlook on reporting. We use the tool for varoius applications and mutliple purposes and it is broad enough to cover all of our bases. We have various team members with different levels of knowledge that have all been successful.

Incentivized

Availability is very good, with the exception of occasional spectacular outages.

AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.

The customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to
immediately search for their compatible software's and also to guide them in a
good direction. Moreover, this product is a good suggestion for every type of
company because of its affordability and ease of use.

Incentivized

Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.

Incentivized

The API's were very well documented and was Janova's main point of entry into the services.

Amazon Web Services is well suited when we have a huge amount of data to store, process, manipulate and get meaningful information out of. It is also suitable when we need very fast data retrieval from the database. They provide a superior product at a fair price which allows us to further our goals and push the limits of what we are capable of as a team / company.

Incentivized

Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.

Incentivized

• AWS has lowered our employee cost, because you don't have to hire Network/Server Admins to manage infrastructure.
• Increased productivity by incorporating Continuous Integration with AWS and our development life cycle.
• Increased customer confidence by being able to provide HIPAA level security in our development and production environments

Incentivized

• Paid off for demonstration purposes.

Incentivized