What users are saying about
14 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 6.8 out of 100
219 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.8 out of 100

Feature Set Ratings

  • Cloudera Data Science Workbench ranks higher in 4 feature sets: Platform Connectivity, Data Preparation, Platform Data Modeling, Model Deployment
  • Cloudera Data Science Workbench and IBM Watson Studio on Cloud Pak for Data are tied in 1 feature set: Data Exploration

Platform Connectivity

7.5

Data Science Workbench

75%
7.0

IBM Watson Studio

70%
Cloudera Data Science Workbench ranks higher in 3/4 features

Connect to Multiple Data Sources

7.0
70%
2 Ratings
7.5
75%
21 Ratings

Extend Existing Data Sources

8.0
80%
2 Ratings
7.1
71%
21 Ratings

Automatic Data Format Detection

7.0
70%
2 Ratings
7.0
70%
20 Ratings

MDM Integration

8.0
80%
2 Ratings
6.5
65%
14 Ratings

Data Exploration

7.6

Data Science Workbench

76%
7.6

IBM Watson Studio

76%
Cloudera Data Science Workbench ranks higher in 1/2 features

Visualization

7.1
71%
2 Ratings
7.5
75%
21 Ratings

Interactive Data Analysis

8.0
80%
2 Ratings
7.6
76%
21 Ratings

Data Preparation

7.8

Data Science Workbench

78%
7.4

IBM Watson Studio

74%
Cloudera Data Science Workbench ranks higher in 3/4 features

Interactive Data Cleaning and Enrichment

7.0
70%
2 Ratings
7.2
72%
21 Ratings

Data Transformations

8.0
80%
2 Ratings
7.5
75%
20 Ratings

Data Encryption

8.0
80%
2 Ratings
7.3
73%
19 Ratings

Built-in Processors

8.0
80%
2 Ratings
7.6
76%
20 Ratings

Platform Data Modeling

7.6

Data Science Workbench

76%
7.3

IBM Watson Studio

73%
Cloudera Data Science Workbench ranks higher in 2/4 features

Multiple Model Development Languages and Tools

8.0
80%
2 Ratings
7.4
74%
20 Ratings

Automated Machine Learning

7.0
70%
1 Rating
7.1
71%
21 Ratings

Single platform for multiple model development

7.1
71%
2 Ratings
7.3
73%
21 Ratings

Self-Service Model Delivery

8.1
81%
2 Ratings
7.3
73%
19 Ratings

Model Deployment

8.0

Data Science Workbench

80%
6.4

IBM Watson Studio

64%
Cloudera Data Science Workbench ranks higher in 2/2 features

Flexible Model Publishing Options

8.1
81%
2 Ratings
7.0
70%
21 Ratings

Security, Governance, and Cost Controls

7.8
78%
2 Ratings
5.9
59%
21 Ratings

Attribute Ratings

  • Cloudera Data Science Workbench is rated higher in 1 area: Likelihood to Recommend
  • IBM Watson Studio on Cloud Pak for Data is rated higher in 1 area: Support Rating

Likelihood to Recommend

9.0

Data Science Workbench

90%
3 Ratings
7.5

IBM Watson Studio

75%
64 Ratings

Likelihood to Renew

Data Science Workbench

N/A
0 Ratings
8.2

IBM Watson Studio

82%
1 Rating

Usability

Data Science Workbench

N/A
0 Ratings
9.6

IBM Watson Studio

96%
2 Ratings

Availability

Data Science Workbench

N/A
0 Ratings
8.2

IBM Watson Studio

82%
2 Ratings

Performance

Data Science Workbench

N/A
0 Ratings
8.2

IBM Watson Studio

82%
2 Ratings

Support Rating

7.8

Data Science Workbench

78%
3 Ratings
8.2

IBM Watson Studio

82%
2 Ratings

In-Person Training

Data Science Workbench

N/A
0 Ratings
8.2

IBM Watson Studio

82%
1 Rating

Online Training

Data Science Workbench

N/A
0 Ratings
8.2

IBM Watson Studio

82%
1 Rating

Implementation Rating

Data Science Workbench

N/A
0 Ratings
7.3

IBM Watson Studio

73%
2 Ratings

Product Scalability

Data Science Workbench

N/A
0 Ratings
8.2

IBM Watson Studio

82%
1 Rating

Vendor post-sale

Data Science Workbench

N/A
0 Ratings
7.3

IBM Watson Studio

73%
1 Rating

Vendor pre-sale

Data Science Workbench

N/A
0 Ratings
8.2

IBM Watson Studio

82%
1 Rating

Likelihood to Recommend

Cloudera

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.
Read full review

IBM

If you are a small company with insufficient funding, it would be better to go with open source resources because they are free and do the same job. If you are a bigger company with enough resources, then IBM Watson Studio could be better in terms of security and accessibility.
Read full review

Pros

Cloudera

  • 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
Read full review

IBM

  • 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.
Read full review

Cons

Cloudera

  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
Read full review

IBM

  • 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
Read full review

Pricing Details

Data Science Workbench

Starting Price

Editions & Modules

Data Science Workbench editions and modules pricing
EditionModules

Footnotes

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    IBM Watson Studio

    Starting Price

    Editions & Modules

    IBM Watson Studio editions and modules pricing
    EditionModules

    Footnotes

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      No setup fee

      Additional Details

      Likelihood to Renew

      Cloudera

      No answers on this topic

      IBM

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

      Usability

      Cloudera

      No answers on this topic

      IBM

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

      Reliability and Availability

      Cloudera

      No answers on this topic

      IBM

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

      Performance

      Cloudera

      No answers on this topic

      IBM

      Never had slow response even on our very busy network
      Read full review

      Support Rating

      Cloudera

      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.
      Read full review

      IBM

      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
      Read full review

      In-Person Training

      Cloudera

      No answers on this topic

      IBM

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

      Online Training

      Cloudera

      No answers on this topic

      IBM

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

      Implementation Rating

      Cloudera

      No answers on this topic

      IBM

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

      Alternatives Considered

      Cloudera

      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.
      Read full review

      IBM

      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.
      Read full review

      Scalability

      Cloudera

      No answers on this topic

      IBM

      It helped us in getting from 0 to DSX without getting lost
      Read full review

      Return on Investment

      Cloudera

      • Paid off for demonstration purposes.
      Read full review

      IBM

      • 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
      Read full review

      Add comparison