Cloudera Data Science Workbench (discontinued) vs. IBM Watson Studio on Cloud Pak for Data vs. PG Forsta HX Platform

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.

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It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.

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They have done a good job at helping us maintain the integrity of the project while transitioning to a completely new platform. Our Voice of the Customer program happens to consist of multiple surveys within one "master" so I guess logistically it could be considered complex

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• 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

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• Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
• SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
• Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
• Estimator validation lets data scientists test and prove different models.

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• Confirmit has a fairly shallow learning curve allowing someone with no experience to be able to create a simple survey with not much time invested in training.
• Confirmit also has the flexibility to be used in very advanced ways. Whether modifying the display/page content's layout or modifying input types with jQuery, it is incredibly adaptable.
• Confirmit (with v. 18) now collects data in a true SQL database which is far more robust and easy to administrate than some other methods of data storage.

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

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• The cost is steep and so only companies with resources can afford it
• It will be nice to have Chinese versions so that Chinese engineers can also use it easily
• It takes a while to learn how to input different kinds of skin defects for detection

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• Ensure correct data collection. This is Confirmit's main goal, and which sometimes fails to succeed.
• Integrated data back-up service. It would be great if we could look at the data from a couple days previous.
• Interactive layout creator. Current layout creator is really "squared" as we say, it needs more flexibility with all the incoming technologies such as HTML5 and CSS3.

because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)

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From my point of view Confirmit has been a key tool in our organization. Without it we can't deliver what we do at this moment. Confirmit has proved that is a reliable, stable and easy to use tool. The few issues we found (as far as I know) were sent to Confirmit support team and fix them. Patching the product has been done faster and without large downtime of the product

The UI flawlessly merges this offering by providing a neat, minimal, responsive interface

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Confirmit is a very technical tool, it takes time for someone to get used to the interface, even when it could definitely be more intuitive or user friendly, this is part of Confirmit's strenghts that makes it one of the most robust data collection technologies out there.

From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected

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Never had slow response even on our very busy network

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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.

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I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path

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The support team is responsive and I can tell that they are actually trying to help get to the heart of the issues before making us try every possible solution available. They ask the right questions and test things before coming back to us with proposals. I like the support team at Confirmit.

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The trainers on the job are very smart with solutions and very able in teaching

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The Platform is very handy and suggests further steps according my previous interests

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It surprised us with unpredictable case of use and brand new points of view

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Should let the professionals handle implementation, don't have only the operations team at your company do it.

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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.

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The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.

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Forsta has a strong product functionality and performance. Integration capabilities are fantastic and it has strong customer focus. Pre-existing relationships also helped in cracking this deal. People at Forsta are helpful and customer centric. Although cost is not highly competitive but it comes close to value for money. Competitors have quite a few functionalities but there are additional charges levied for them.

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It helped us in getting from 0 to DSX without getting lost

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• Paid off for demonstration purposes.

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• Could instantly show data driven insights to drive 20% incremental revenue over existing results
• Still don't have a real use case for unstructured data like twitter feed
• Some of the insights around user actions have driven new projects to automate mundane tasks

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• I love Confirmit, the only negative is that my experience using any other program is always terrible in comparison.
• I had Confirmit rep come into the office and was disapointed that they didn't have much informaton on how to use it as a researcher in marking research, perhaps employing more internal marketing researchers would help that.

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