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Cloudera Data Science Workbench (discontinued) vs. Microsoft Azure

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Cloudera Data Science Workbench (discontinued)

    Score6.7 out of 10
    N/ACloudera Data Science Workbench (CDSW) was an enterprise data science platform for collaborative development, experimentation, model training, deployment, and management on Cloudera data infrastructure. Cloudera Data Science Workbench has reached end of support. Cloudera states that its CDSW documentation is no longer updated.N/A

    Microsoft Azure

    Score8.5 out of 10
    N/AMicrosoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.

    $29

    per month

    Pricing
    Cloudera Data Science Workbench (discontinued)Microsoft Azure
    Editions & Modules
    No answers on this topic
    Developer
    $29
    per month
    Standard
    $100
    per month
    Professional Direct
    $1000
    per month
    Basic
    Free
    per month
    Offerings
    Pricing Offerings
    Cloudera Data Science Workbench (discontinued)Microsoft Azure
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
    More Pricing Information
    Community Pulse
    Cloudera Data Science Workbench (discontinued)Microsoft Azure
    Considered Both Products
    Discontinued Products
    Chose Cloudera Data Science Workbench (discontinued)
    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 …
    Incentivized
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    92%
    Would buy again
    34 Answers
    Delivers good value for the price
    No answers on this topic
    94%
    Delivers good value for the price
    31 Answers
    Happy with the feature set
    No answers on this topic
    95%
    Happy with the feature set
    35 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    89%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    No answers on this topic
    94%
    Implementation went as expected
    34 Answers
    Features
    Cloudera Data Science Workbench (discontinued)Microsoft Azure
    Platform Connectivity
    Comparison of Platform Connectivity features of Cloudera Data Science Workbench (discontinued) and Microsoft Azure
    Feature
    Cloudera Data Science Workbench (discontinued)
    7.5
    2 Ratings
    11% below category average
    Microsoft Azure
    -
    Ratings
    Connect to Multiple Data Sources7.02 Ratings00 Ratings
    Extend Existing Data Sources8.02 Ratings00 Ratings
    Automatic Data Format Detection7.02 Ratings00 Ratings
    MDM Integration8.02 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Cloudera Data Science Workbench (discontinued) and Microsoft Azure
    Feature
    Cloudera Data Science Workbench (discontinued)
    7.6
    2 Ratings
    10% below category average
    Microsoft Azure
    -
    Ratings
    Visualization7.12 Ratings00 Ratings
    Interactive Data Analysis8.02 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Cloudera Data Science Workbench (discontinued) and Microsoft Azure
    Feature
    Cloudera Data Science Workbench (discontinued)
    7.8
    2 Ratings
    5% below category average
    Microsoft Azure
    -
    Ratings
    Interactive Data Cleaning and Enrichment7.02 Ratings00 Ratings
    Data Transformations8.02 Ratings00 Ratings
    Data Encryption8.02 Ratings00 Ratings
    Built-in Processors8.02 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Cloudera Data Science Workbench (discontinued) and Microsoft Azure
    Feature
    Cloudera Data Science Workbench (discontinued)
    7.6
    2 Ratings
    11% below category average
    Microsoft Azure
    -
    Ratings
    Multiple Model Development Languages and Tools8.02 Ratings00 Ratings
    Automated Machine Learning7.01 Ratings00 Ratings
    Single platform for multiple model development7.12 Ratings00 Ratings
    Self-Service Model Delivery8.12 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Cloudera Data Science Workbench (discontinued) and Microsoft Azure
    Feature
    Cloudera Data Science Workbench (discontinued)
    8.0
    2 Ratings
    6% below category average
    Microsoft Azure
    -
    Ratings
    Flexible Model Publishing Options8.12 Ratings00 Ratings
    Security, Governance, and Cost Controls7.82 Ratings00 Ratings
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Cloudera Data Science Workbench (discontinued) and Microsoft Azure
    Feature
    Cloudera Data Science Workbench (discontinued)
    -
    Ratings
    Microsoft Azure
    8.4
    27 Ratings
    2% above category average
    Service-level Agreement (SLA) uptime00 Ratings8.126 Ratings
    Dynamic scaling00 Ratings8.725 Ratings
    Elastic load balancing00 Ratings8.624 Ratings
    Pre-configured templates00 Ratings8.225 Ratings
    Monitoring tools00 Ratings8.326 Ratings
    Pre-defined machine images00 Ratings8.424 Ratings
    Operating system support00 Ratings8.926 Ratings
    Security controls00 Ratings8.626 Ratings
    Automation00 Ratings8.224 Ratings
    Best Alternatives
    Cloudera Data Science Workbench (discontinued)Microsoft Azure
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    IBM Cloud Object Storage
    Score9 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    SAP on IBM Cloud
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Cloudera Data Science Workbench (discontinued)Microsoft Azure
    Likelihood to Recommend
    9.0
    (3 ratings)
    8.7
    (96 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (17 ratings)
    Usability
    -
    (0 ratings)
    8.3
    (36 ratings)
    Availability
    -
    (0 ratings)
    6.8
    (2 ratings)
    Support Rating
    7.9
    (2 ratings)
    9.0
    (27 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (2 ratings)
    User Testimonials
    Cloudera Data Science Workbench (discontinued)Microsoft Azure
    Likelihood to Recommend
    Discontinued Products
    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.
    Incentivized
    Read full review
    Microsoft
    Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
    Read full review
    Pros
    Discontinued Products
    • 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
    Incentivized
    Read full review
    Microsoft
    • Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
    • You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
    • The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
    • The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
    Incentivized
    Read full review
    Cons
    Discontinued Products
    • Installation is difficult.
    • Upgrades are difficult.
    • Licensing options are not flexible.
    Incentivized
    Read full review
    Microsoft
    • The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
    • The documentation needs to be improved, and some advanced configuration options require research and experimentation.
    • Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
    Read full review
    Likelihood to Renew
    Discontinued Products
    No answers on this topic
    Microsoft
    Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
    Read full review
    Usability
    Discontinued Products
    No answers on this topic
    Microsoft
    As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
    Incentivized
    Read full review
    Reliability and Availability
    Discontinued Products
    No answers on this topic
    Microsoft
    It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators
    Incentivized
    Read full review
    Support Rating
    Discontinued Products
    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.
    Incentivized
    Read full review
    Microsoft
    We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
    Incentivized
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    Implementation Rating
    Discontinued Products
    No answers on this topic
    Microsoft
    As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
    Read full review
    Alternatives Considered
    Discontinued Products
    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.
    Incentivized
    Read full review
    Microsoft
    As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
    Incentivized
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    Return on Investment
    Discontinued Products
    • Paid off for demonstration purposes.
    Incentivized
    Read full review
    Microsoft
    • For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
    • DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
    • Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
    Incentivized
    Read full review
    ScreenShots