What users are saying about

Data Science Workbench vs Mode

Data Science Workbench
14 Ratings
Mode
16 Ratings
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Data Science Workbench

14 Ratings
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Score 7.3 out of 100

Based on 14 reviews and ratings

Mode

16 Ratings
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Score 8.7 out of 100

Based on 16 reviews and ratings

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Feature Set Ratings

    Platform Connectivity

    7.5

    Data Science Workbench

    75%

    Mode

    Feature Set Not Supported
    N/A
    Cloudera Data Science Workbench ranks higher in 4/4 features
    Cloudera Data Science Workbench ranks higher in 4/4 features

    Connect to Multiple Data Sources

    7.0
    70%
    2 Ratings
    N/A
    0 Ratings

    Extend Existing Data Sources

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Automatic Data Format Detection

    7.0
    70%
    2 Ratings
    N/A
    0 Ratings

    MDM Integration

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Data Exploration

    7.6

    Data Science Workbench

    76%

    Mode

    Feature Set Not Supported
    N/A
    Cloudera Data Science Workbench ranks higher in 2/2 features
    Cloudera Data Science Workbench ranks higher in 2/2 features

    Visualization

    7.1
    71%
    2 Ratings
    N/A
    0 Ratings

    Interactive Data Analysis

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Data Preparation

    7.8

    Data Science Workbench

    78%

    Mode

    Feature Set Not Supported
    N/A
    Cloudera Data Science Workbench ranks higher in 4/4 features
    Cloudera Data Science Workbench ranks higher in 4/4 features

    Interactive Data Cleaning and Enrichment

    7.0
    70%
    2 Ratings
    N/A
    0 Ratings

    Data Transformations

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Data Encryption

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Built-in Processors

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Platform Data Modeling

    7.6

    Data Science Workbench

    76%

    Mode

    Feature Set Not Supported
    N/A
    Cloudera Data Science Workbench ranks higher in 4/4 features
    Cloudera Data Science Workbench ranks higher in 4/4 features

    Multiple Model Development Languages and Tools

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Automated Machine Learning

    7.0
    70%
    1 Rating
    N/A
    0 Ratings

    Single platform for multiple model development

    7.1
    71%
    2 Ratings
    N/A
    0 Ratings

    Self-Service Model Delivery

    8.1
    81%
    2 Ratings
    N/A
    0 Ratings

    Model Deployment

    8.0

    Data Science Workbench

    80%

    Mode

    Feature Set Not Supported
    N/A
    Cloudera Data Science Workbench ranks higher in 2/2 features
    Cloudera Data Science Workbench ranks higher in 2/2 features

    Flexible Model Publishing Options

    8.1
    81%
    2 Ratings
    N/A
    0 Ratings

    Security, Governance, and Cost Controls

    7.8
    78%
    2 Ratings
    N/A
    0 Ratings

    BI Standard Reporting

    Data Science Workbench

    Feature Set Not Supported
    N/A
    8.3

    Mode

    83%
    Mode ranks higher in 3/3 features
    Mode ranks higher in 3/3 features

    Pixel Perfect reports

    N/A
    0 Ratings
    9.2
    92%
    4 Ratings

    Customizable dashboards

    N/A
    0 Ratings
    8.1
    81%
    7 Ratings

    Report Formatting Templates

    N/A
    0 Ratings
    7.6
    76%
    7 Ratings

    Ad-hoc Reporting

    Data Science Workbench

    Feature Set Not Supported
    N/A
    8.4

    Mode

    84%
    Mode ranks higher in 4/4 features
    Mode ranks higher in 4/4 features

    Drill-down analysis

    N/A
    0 Ratings
    8.0
    80%
    6 Ratings

    Formatting capabilities

    N/A
    0 Ratings
    8.0
    80%
    7 Ratings

    Integration with R or other statistical packages

    N/A
    0 Ratings
    8.5
    85%
    6 Ratings

    Report sharing and collaboration

    N/A
    0 Ratings
    9.0
    90%
    6 Ratings

    Report Output and Scheduling

    Data Science Workbench

    Feature Set Not Supported
    N/A
    8.0

    Mode

    80%
    Mode ranks higher in 5/5 features
    Mode ranks higher in 5/5 features

    Publish to Web

    N/A
    0 Ratings
    8.1
    81%
    5 Ratings

    Publish to PDF

    N/A
    0 Ratings
    7.1
    71%
    7 Ratings

    Report Versioning

    N/A
    0 Ratings
    7.9
    79%
    5 Ratings

    Report Delivery Scheduling

    N/A
    0 Ratings
    8.4
    84%
    7 Ratings

    Delivery to Remote Servers

    N/A
    0 Ratings
    8.4
    84%
    4 Ratings

    Data Discovery and Visualization

    Data Science Workbench

    Feature Set Not Supported
    N/A
    6.5

    Mode

    65%
    Mode ranks higher in 3/3 features
    Mode ranks higher in 3/3 features

    Pre-built visualization formats (heatmaps, scatter plots etc.)

    N/A
    0 Ratings
    7.5
    75%
    6 Ratings

    Location Analytics / Geographic Visualization

    N/A
    0 Ratings
    5.6
    56%
    6 Ratings

    Predictive Analytics

    N/A
    0 Ratings
    6.3
    63%
    3 Ratings

    Attribute Ratings

    • Mode is rated higher in 2 areas: Likelihood to Recommend, Support Rating

    Likelihood to Recommend

    8.9

    Data Science Workbench

    89%
    3 Ratings
    9.2

    Mode

    92%
    7 Ratings

    Usability

    Data Science Workbench

    N/A
    0 Ratings
    10.0

    Mode

    100%
    1 Rating

    Support Rating

    7.7

    Data Science Workbench

    77%
    3 Ratings
    10.0

    Mode

    100%
    2 Ratings

    Likelihood to Recommend

    Data Science Workbench

    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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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 3 answers on this topic

    Mode

    After launching a new contact pathway in a help experience, Mode Analytics can help provide insight into the sentiments from users as well as the engagement with any written content. Numeric outputs are easier to manage, whereas more nuanced/emotional feedback is sometimes hard to quantify (though not impossible if you get creative).

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    Jacob Rossi | TrustRadius Reviewer
    Jacob Rossi
    View all 7 answers on this topic

    Pros

    Data Science Workbench

    • 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 | TrustRadius Reviewer
    Bharadwaj (Brad) Chivukula
    View all 3 answers on this topic

    Mode

    • Easy to use (click a button and get right to SQL).
    • Security First (everything is locked down by default).
    • The White Label feature is super easy to skin -- our embedded reports look just like our app!

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 7 answers on this topic

    Cons

    Data Science Workbench

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

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 3 answers on this topic

    Mode

    • Jinja use to expand SQL capabilities could have more features, for example use results of a query as input.
    • Better visualization charts.
    • Better Usability for report creation

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 7 answers on this topic

    Pricing Details

    Data Science Workbench

    General

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

    Starting Price

    —

    Mode

    General

    Free Trial
    Yes
    Free/Freemium Version
    Yes
    Premium Consulting/Integration Services
    —
    Entry-level set up fee?
    No

    Starting Price

    —

    Usability

    Data Science Workbench

    No score
    No answers yet
    No answers on this topic

    Mode

    Mode 10.0
    Based on 1 answer
    For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.

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    Alexandre Rezende | TrustRadius Reviewer
    Alexandre Rezende
    View all 1 answers on this topic

    Support Rating

    Data Science Workbench

    Data Science Workbench 7.7
    Based on 3 answers
    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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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 3 answers on this topic

    Mode

    Mode 10.0
    Based on 2 answers
    Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.

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    Rita Lo | TrustRadius Reviewer
    Rita Lo
    View all 2 answers on this topic

    Alternatives Considered

    Data Science Workbench

    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 | TrustRadius Reviewer
    Bharadwaj (Brad) Chivukula
    View all 3 answers on this topic

    Mode

    We used both Qlik and Mode at our organization. The mode was used a quick analysis SQL tool while Qlik was our enterprise BI solution.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 7 answers on this topic

    Return on Investment

    Data Science Workbench

    • Paid off for demonstration purposes.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 3 answers on this topic

    Mode

    • Empowered me to make data based decisions
    • Made data collection more fast, efficient, and useful
    • Identified when new features need tweaks or course corrections

    Read full review

    Jacob Rossi | TrustRadius Reviewer
    Jacob Rossi
    View all 7 answers on this topic

    Add comparison