Cloudera Data Science Workbench (discontinued) vs. SUSE Rancher

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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SUSE Rancher as a management tool becomes useful on a larger scale. Small deployments not so much. If someone also requires Kubernetes capacity or storage, Rancher is an excellent choice. Also, without Kubernetes' skills, it is unlikely that Rancher deployment is going to be a success. Then again if someone else is managing your Kubernetes capacity, setting up the software's capacity will yield greater control. Rancher is not a very integrated solution similar to others in the market.

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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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• Public and private cloud infrastructure providers based on K8s CAPI
• REST API that can be used to integrate company services with Rancher
• GUI that is easy to learn and use in daily operations
• Builtin GitOps automation solution based on Fleet project
• It is fully open source

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

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• No possibility to snapshot Projects. You can snapshot and restore the whole Kubernetes cluster, but not a Project or Namespace. For this, you have to use external tools.
• You cannot detach the Rancher-created Kubernetes clusters from Rancher management.

Overall it deserves an 8 out of 10. The platform is very easy to use as long as the UI is stable. We have had a few buggy versions in the past. However the CLI is excellent and the platform is simple to manage and maintain. It is easy to deploy and offer for company wide use which increases utilization and ROI.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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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The documentation is quite complete and there is a very active community that is willing to collaborate and answer questions for those who are just starting out.

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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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

We started using SUSE Rancher in the early days and spent a large amount of time getting to know and love it. This was before the days of some of the likes of Amazon Web Services who may now provide a cheaper but less feature-rich alternative to SUSE Rancher, however we have yet to explore this.

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The investment for small environments is quite significant. There has to be a compelling case to enhance the areas where SUSE Rancher brings in value to make such a financial leap. There is also a free version to test the value propositions, which will help support the user's buying decisions. More clusters, more volume, more tasks and more complexity in the environment equals more value that Rancher can provide.

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• Paid off for demonstration purposes.

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• Shortens "Time-to-Market" factor for new business applications or implementing new functionalities. From 1 to 50 microservices-based business applications in 6 years.
• 24/7 availability, generates more money. There are many infrastructure components that are regularly powered-off for maintenance or upgrade, bur we rarely are turning off our downstream Kubernetes clusters where our business applications lives.
• Single Point of Contact with platform maintenance and development Team, eases implementation of new business applications