Cloudera Data Science Workbench Competitors and Alternatives

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Read reviews of Cloudera Data Science Workbench competitors and alternatives

RameshCh
Real User
Sr. BigData Architect at ITC Infotech
Jul 01 2020

What is most valuable?

The elasticity of the solution is excellent. The storage, etc., can be scaled up quite easily when we need it to. It's easy to increase performance as required. The solution runs on Spark very well.

What needs improvement?

Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively. They're currently coming out with a new… more»

What's my experience with pricing, setup cost, and licensing?

The solution is expensive. It's not like a lot of competitors, which are open-source.

Which solution did I use previously and why did I switch?

We work with multiple clients and this solution is just one of the examples of products we work with. We use several others as well, depending on the client. It's all wrappers between the same underlying systems. For example, Spark. It's… more»

What other advice do I have?

There isn't really a version, per se. It's a popular service. I'd recommend the solution. The solution is cloud-agnostic right now, so it really can go into any cloud. It's the users who will be leveraging installed environments that can… more»
Get our free report covering Databricks, Amazon, Continuum Analytics, and other competitors of Cloudera Data Science Workbench. Updated: July 2020.
430,988 professionals have used our research since 2012.