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DigitalOcean vs. IBM Watson Studio on Cloud Pak for Data

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    DigitalOcean

    Score8.5 out of 10
    N/ADigitalOcean is an infrastructure-as-a-service (IaaS) platform from the company of the same name headquartered in New York. It is known for its support of managed Kubernetes clusters and “droplets” feature.

    $5

    Starting Price Per Month

    IBM Watson Studio

    Score10 out of 10
    N/AIBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A
    Pricing
    DigitalOceanIBM Watson Studio
    Editions & Modules
    1GB-16GB
    $5.00
    Starting Price Per Month
    8GB-160GB
    $60.00
    Starting Price Per Month
    No answers on this topic
    Offerings
    Pricing Offerings
    DigitalOceanIBM Watson Studio
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    DigitalOceanIBM Watson Studio
    Considered Both Products
    DigitalOcean
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    11 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    11 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    11 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    11 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    11 Answers
    No answers on this topic
    Features
    DigitalOceanIBM Watson Studio
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of DigitalOcean and IBM Watson Studio on Cloud Pak for Data
    Feature
    DigitalOcean
    9.2
    36 Ratings
    11% above category average
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Service-level Agreement (SLA) uptime9.931 Ratings00 Ratings
    Dynamic scaling9.932 Ratings00 Ratings
    Elastic load balancing9.723 Ratings00 Ratings
    Pre-configured templates10.029 Ratings00 Ratings
    Monitoring tools9.035 Ratings00 Ratings
    Pre-defined machine images9.733 Ratings00 Ratings
    Operating system support9.033 Ratings00 Ratings
    Security controls8.632 Ratings00 Ratings
    Automation6.55 Ratings00 Ratings
    Platform Connectivity
    Comparison of Platform Connectivity features of DigitalOcean and IBM Watson Studio on Cloud Pak for Data
    Feature
    DigitalOcean
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    Connect to Multiple Data Sources00 Ratings8.022 Ratings
    Extend Existing Data Sources00 Ratings8.022 Ratings
    Automatic Data Format Detection00 Ratings10.021 Ratings
    MDM Integration00 Ratings6.414 Ratings
    Data Exploration
    Comparison of Data Exploration features of DigitalOcean and IBM Watson Studio on Cloud Pak for Data
    Feature
    DigitalOcean
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    17% above category average
    Visualization00 Ratings10.022 Ratings
    Interactive Data Analysis00 Ratings10.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of DigitalOcean and IBM Watson Studio on Cloud Pak for Data
    Feature
    DigitalOcean
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    15% above category average
    Interactive Data Cleaning and Enrichment00 Ratings10.022 Ratings
    Data Transformations00 Ratings10.021 Ratings
    Data Encryption00 Ratings8.020 Ratings
    Built-in Processors00 Ratings10.021 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of DigitalOcean and IBM Watson Studio on Cloud Pak for Data
    Feature
    DigitalOcean
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
    Automated Machine Learning00 Ratings10.022 Ratings
    Single platform for multiple model development00 Ratings10.022 Ratings
    Self-Service Model Delivery00 Ratings8.020 Ratings
    Model Deployment
    Comparison of Model Deployment features of DigitalOcean and IBM Watson Studio on Cloud Pak for Data
    Feature
    DigitalOcean
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    6% below category average
    Flexible Model Publishing Options00 Ratings9.022 Ratings
    Security, Governance, and Cost Controls00 Ratings7.022 Ratings
    Best Alternatives
    DigitalOceanIBM Watson Studio
    Small Businesses
    IBM Cloud Object Storage
    Score9 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    SAP on IBM Cloud
    Score9 out of 10
    Posit
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DigitalOceanIBM Watson Studio
    Likelihood to Recommend
    8.9
    (36 ratings)
    8.0
    (65 ratings)
    Likelihood to Renew
    9.0
    (2 ratings)
    8.2
    (1 ratings)
    Usability
    8.9
    (10 ratings)
    9.6
    (2 ratings)
    Availability
    10.0
    (1 ratings)
    8.2
    (1 ratings)
    Performance
    9.0
    (1 ratings)
    8.2
    (1 ratings)
    Support Rating
    8.8
    (9 ratings)
    8.2
    (1 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (1 ratings)
    Product Scalability
    10.0
    (1 ratings)
    8.2
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    7.3
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    User Testimonials
    DigitalOceanIBM Watson Studio
    Likelihood to Recommend
    DigitalOcean
    DigitalOcean is perfect for hosting client websites, running marketing tools, and managing media storage with Spaces and CDN. The use of Droplets to quickly launch landing pages or WordPress sites for campaigns is a Godsend. It’s great for fast, cheap, and scalable solutions. But for complex microservices or projects needing strict compliance (like HIPAA), DigitalOcean may not always be the best fit, but that depends heavily on your project.
    Incentivized
    Read full review
    IBM
    It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
    Incentivized
    Read full review
    Pros
    DigitalOcean
    • DigitalOcean provides some of the best cost-to-value services available
    • The DigitalOcean cloud console is very intuitive and easy to navigate
    • DigitalOcean has great support for Docker and other dev ops tools like Terraform.
    • DigitalOcean iterates quickly and provides cutting edge features for organizations that want to keep up with the latest and greatest dev ops tooling
    • DigitalOcean has a great developer community and numerous support docs/tutorials
    Incentivized
    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.
    Incentivized
    Read full review
    Cons
    DigitalOcean
    • Some products/services available on other Cloud providers aren't available, but they seem to be catching up as they add new products like Managed SQL DBs.
    • While they have FreeBSD droplets (VMs), support for *BSD OSs is limited. I.e. the new monitoring agent only works on Linux.
    • There are no regions available on South America.
    • They don't seem to offer enterprise-level products, even basic ones as Windows Server, MS SQL Server, Oracle products, etc.
    Incentivized
    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
    Incentivized
    Read full review
    Likelihood to Renew
    DigitalOcean
    I've been very happy with it for my purposes and I plan to continue to use DigitalOcean for the foreseeable future!
    Incentivized
    Read full review
    IBM
    because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
    Incentivized
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    Usability
    DigitalOcean
    I honestly can't think of an easier way to set up and maintain your own server. Being able to set up a server in minutes and have fully control is awesome. The UX is incredibly intuitive for first-time users as well so there's no reason to be intimidated when it comes to giving DigitalOcean a shot.
    Incentivized
    Read full review
    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
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    Reliability and Availability
    DigitalOcean
    Have not found a single second of down time myself. Superior availability.
    Incentivized
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    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
    Incentivized
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    Performance
    DigitalOcean
    Very quick response and high performance, you have to fine tune configurations on your machines though.
    Incentivized
    Read full review
    IBM
    Never had slow response even on our very busy network
    Incentivized
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    Support Rating
    DigitalOcean
    They have always been fast, and the process has been straight-forward. I haven't had to use it enough to be frustrated with it, to be honest, and when I have an issue they fix it. As with all support, I wish it felt more human, but they are doing aces.
    Incentivized
    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
    Incentivized
    Read full review
    In-Person Training
    DigitalOcean
    No answers on this topic
    IBM
    The trainers on the job are very smart with solutions and very able in teaching
    Incentivized
    Read full review
    Online Training
    DigitalOcean
    No answers on this topic
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
    Read full review
    Implementation Rating
    DigitalOcean
    No answers on this topic
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
    Read full review
    Alternatives Considered
    DigitalOcean
    DigitalOcean is an inexpensive product as compared to other products available in the market. The UI is easy and the beginner can also understand the UI with the step by step guide. It provides a lot of custom features and the user needs to pay only for what they are using. Amazon has a complex UI and is on the expensive side. DigitalOcean is simple to use and is easily manageable and the servers can easily be set up without additional cost and such.
    Incentivized
    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.
    Incentivized
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    Scalability
    DigitalOcean
    Great scalability, you can start with small plans and move up to premium features at a very good price.
    Incentivized
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    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
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    Return on Investment
    DigitalOcean
    • Positive - Elastic computer instances make it possible to pay for only for what you need.
    • Positive - Competitive pricing - some of the products that DigitalOcean offers are much cheaper than those offered by competitors.
    • Negative - Having to go to other cloud computing platforms for more specific, advanced services like Computer Vision optimized services, GPU cloud compute instances, etc...
    Incentivized
    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
    Incentivized
    Read full review
    ScreenShots