What users are saying about
14 Ratings
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Score 7.3 out of 100
1 Rating
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Score 6 out of 100

Feature Set Ratings

    Platform Connectivity

    7.5

    Data Science Workbench

    75%

    SAP Vora

    Feature Set Not Supported
    N/A
    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%

    SAP Vora

    Feature Set Not Supported
    N/A
    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%

    SAP Vora

    Feature Set Not Supported
    N/A
    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%

    SAP Vora

    Feature Set Not Supported
    N/A
    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%

    SAP Vora

    Feature Set Not Supported
    N/A
    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

    Attribute Ratings

    • Cloudera Data Science Workbench is rated higher in 1 area: Likelihood to Recommend

    Likelihood to Recommend

    8.9

    Data Science Workbench

    89%
    3 Ratings
    6.0

    SAP Vora

    60%
    1 Rating

    Support Rating

    7.7

    Data Science Workbench

    77%
    3 Ratings

    SAP Vora

    N/A
    0 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.
    Anonymous | TrustRadius Reviewer

    SAP Vora

    I spent more than 1 year with SAP Vora, SAP Datahub and SAP Leonardo with ML, iOt. I believe this product has potential but it is not easy to adopt. SAP has to keep in mind how open-source big data technologies are able to deliver quick results. I know SAP is stabilizing and fighting hard against many open source technologies, but it still has a long way to go there.
    Dhinesh Kumar Ganeshan,PMP,CSM | TrustRadius Reviewer

    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
    Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

    SAP Vora

    • Modelling with SAP HANA and Hadoop
    • Realtime Analysis using Vora and HANA as a Streaming engine
    • Time series Analysis on large chunks of datasets
    • Machine learning capabilities on Hadoop tables and spark contexts
    Dhinesh Kumar Ganeshan,PMP,CSM | TrustRadius Reviewer

    Cons

    Data Science Workbench

    • Installation is difficult.
    • Upgrades are difficult.
    • Licensing options are not flexible.
    Anonymous | TrustRadius Reviewer

    SAP Vora

    • Vora 2.0 in on premise scenarios could be improved, as adoption of the cloud is not an easy sell.
    • Kubernetes and Docker integration need to be more seamless and quick to understand. If this is simplified, it will be easy to adopt
    • Data hub orchestration and integrations could be simplified so that quick adoption within SAP BW, ECC, S4 HANa scenarios is possible.
    Dhinesh Kumar Ganeshan,PMP,CSM | TrustRadius Reviewer

    Pricing Details

    Data Science Workbench

    General

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

    Starting Price

    SAP Vora

    General

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

    Starting Price

    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.
    Anonymous | TrustRadius Reviewer

    SAP Vora

    No score
    No answers yet
    No 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.
    Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

    SAP Vora

    No answers on this topic

    Return on Investment

    Data Science Workbench

    • Paid off for demonstration purposes.
    Anonymous | TrustRadius Reviewer

    SAP Vora

    • Negative impact would be Poc and RFI will need more time to adopt and decision making gets delayed
    • Positive impact would be it's a great leap from SAP to adopt a Big data technologies and AI within cloud stream. But selling is going to take time.
    Dhinesh Kumar Ganeshan,PMP,CSM | TrustRadius Reviewer

    Add comparison