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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

    Jupyter Notebook

    Score8.6 out of 10
    N/AJupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for…N/A
    Pricing
    DigitalOceanJupyter Notebook
    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
    DigitalOceanJupyter Notebook
    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
    DigitalOceanJupyter Notebook
    Considered Both Products
    DigitalOcean
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    11 Answers
    100%
    Would buy again
    23 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    11 Answers
    100%
    Delivers good value for the price
    23 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    11 Answers
    96%
    Happy with the feature set
    22 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    11 Answers
    100%
    Lived up to sales and marketing promises
    17 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    11 Answers
    95%
    Implementation went as expected
    20 Answers
    Features
    DigitalOceanJupyter Notebook
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of DigitalOcean and Jupyter Notebook
    Feature
    DigitalOcean
    9.2
    36 Ratings
    11% above category average
    Jupyter Notebook
    -
    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 Jupyter Notebook
    Feature
    DigitalOcean
    -
    Ratings
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Connect to Multiple Data Sources00 Ratings10.022 Ratings
    Extend Existing Data Sources00 Ratings10.021 Ratings
    Automatic Data Format Detection00 Ratings8.514 Ratings
    MDM Integration00 Ratings7.415 Ratings
    Data Exploration
    Comparison of Data Exploration features of DigitalOcean and Jupyter Notebook
    Feature
    DigitalOcean
    -
    Ratings
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Visualization00 Ratings6.022 Ratings
    Interactive Data Analysis00 Ratings8.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of DigitalOcean and Jupyter Notebook
    Feature
    DigitalOcean
    -
    Ratings
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Interactive Data Cleaning and Enrichment00 Ratings10.021 Ratings
    Data Transformations00 Ratings10.022 Ratings
    Data Encryption00 Ratings8.514 Ratings
    Built-in Processors00 Ratings9.314 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of DigitalOcean and Jupyter Notebook
    Feature
    DigitalOcean
    -
    Ratings
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
    Automated Machine Learning00 Ratings9.218 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 Jupyter Notebook
    Feature
    DigitalOcean
    -
    Ratings
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Flexible Model Publishing Options00 Ratings10.020 Ratings
    Security, Governance, and Cost Controls00 Ratings10.019 Ratings
    Best Alternatives
    DigitalOceanJupyter Notebook
    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
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DigitalOceanJupyter Notebook
    Likelihood to Recommend
    8.9
    (36 ratings)
    10.0
    (23 ratings)
    Likelihood to Renew
    9.0
    (2 ratings)
    -
    (0 ratings)
    Usability
    8.9
    (10 ratings)
    10.0
    (2 ratings)
    Availability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.8
    (9 ratings)
    9.0
    (1 ratings)
    Product Scalability
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    DigitalOceanJupyter Notebook
    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
    Open Source
    I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.
    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
    Open Source
    • Simple and elegant code writing ability. Easier to understand the code that way.
    • The ability to see the output after each step.
    • The ability to use ton of library functions in Python.
    • Easy-user friendly interface.
    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
    Open Source
    • Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
    • Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.
    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
    Open Source
    No answers on this topic
    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
    Open Source
    Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.
    Incentivized
    Read full review
    Reliability and Availability
    DigitalOcean
    Have not found a single second of down time myself. Superior availability.
    Incentivized
    Read full review
    Open Source
    No answers on this topic
    Performance
    DigitalOcean
    Very quick response and high performance, you have to fine tune configurations on your machines though.
    Incentivized
    Read full review
    Open Source
    No answers on this topic
    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
    Open Source
    I haven't had a need to contact support. However, all required help is out there in public forums.
    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
    Open Source
    With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.
    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
    Read full review
    Open Source
    No answers on this topic
    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
    Open Source
    • Positive impact: flexible implementation on any OS, for many common software languages
    • Positive impact: straightforward duplication for adaptation of workflows for other projects
    • Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration
    Incentivized
    Read full review
    ScreenShots