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Apache Spark vs Data Science Workbench

Apache Spark

102 Ratings

Data Science Workbench

11 Ratings

Apache Spark

102 Ratings
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Score 8.5 out of 101

Based on 102 reviews and ratings

Data Science Workbench

11 Ratings
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Score 7.6 out of 101

Based on 11 reviews and ratings

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Likelihood to Recommend

Apache Spark

Spark is great as a workflow process and extract transform layer process tool. Is really good for machine learning especially for large datasets that can be processed in split file paralallelization. Spark streaming is scalable for close to real-time data workflow process.what it's not good for, is smaller subset of data processing.

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Anson Abraham
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Data Science Workbench

  • If you already have a Cloudera partnership and a cluster, having this is a no brainer.
  • It integrates well with your existing ecosystem and it immediately starts working on projects, accessing full datasets and share analysis and results.
  • With the inclusion of Kubernetes, CPU and memory across worker nodes can be managed effectively.

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Bharadwaj (Brad) Chivukula
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Pros

  • Ease of use, the Spark API allows for minimal boilerplate and can be written in a variety of languages including Python, Scala, and Java.
  • Performance, for most applications we have found that jobs are more performant running via Spark than other distributed processing technologies like Map-Reduce, Hive, and Pig.
  • Flexibility, the frameworks comes with support for streaming, batch processing, sql queries, machine learning, etc. It can be used in a variety of applications without needing to integrate a lot of other distributed processing technologies.

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Verified User
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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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Bharadwaj (Brad) Chivukula
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Cons

  • Increase the information and trainings that come with the application, especially for debugging since the process is difficult to understand.
  • It should be more attentive to users and make tutorials, to reduce the learning curve.
  • There should be more grouping algorithms.

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Carla Borges
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  • Not as great as RStudio; lacks some features when compared with it
  • It is quite simple still (because its very early in its initiative), and companies may want to wait until they see a more developed product

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Bharadwaj (Brad) Chivukula
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Alternatives Considered

I prefer Apache Spark compared to Hadoop, since in my experience Spark has more usability and comes equipped with simple APIs for Scala, Python, Java and Spark SQL, as well as provides feedback in REPL format on the commands. At the same time, Apache Spark seems to have the best performance in the processing of large data that works in memory and, therefore, more processes can be downloaded on Spark than on Hadoop, despite the fact that Hadoop is also a very useful tool.

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Carla Borges
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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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Bharadwaj (Brad) Chivukula
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Return on Investment

  • We were able to make batch job faster by 20 times as compared to MapReduce
  • With the language support like Scala, Java, and Python, easily manageable

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Verified User
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  • As the tool itself can access all the HDFS, Spark data easily, the wait time between teams has reduced
  • Installation was a breeze, and ramp up time was fairly easy

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Bharadwaj (Brad) Chivukula
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Pricing Details

Apache Spark

General
Free Trial
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Free/Freemium Version
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Premium Consulting/Integration Services
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Entry-level set up fee?
No
Additional Pricing Details
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Data Science Workbench

General
Free Trial
—
Free/Freemium Version
—
Premium Consulting/Integration Services
—
Entry-level set up fee?
No
Additional Pricing Details
—