TrustRadius: an HG Insights company

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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

    Posit

    Score10 out of 10
    N/APosit, formerly RStudio, is a modular data science platform, combining open source and commercial products.N/A
    Pricing
    DigitalOceanPosit
    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
    DigitalOceanPosit
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    DigitalOceanPosit
    Considered Both Products
    DigitalOcean
    No answer on this topic
    Posit (formerly RStudio)
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    11 Answers
    100%
    Would buy again
    44 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    11 Answers
    100%
    Delivers good value for the price
    44 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    11 Answers
    95%
    Happy with the feature set
    42 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
    28 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    11 Answers
    97%
    Implementation went as expected
    38 Answers
    Features
    DigitalOceanPosit
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of DigitalOcean and Posit
    Feature
    DigitalOcean
    9.2
    36 Ratings
    11% above category average
    Posit
    -
    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 Posit
    Feature
    DigitalOcean
    -
    Ratings
    Posit
    9.3
    27 Ratings
    11% above category average
    Connect to Multiple Data Sources00 Ratings8.026 Ratings
    Extend Existing Data Sources00 Ratings10.027 Ratings
    Automatic Data Format Detection00 Ratings10.026 Ratings
    Data Exploration
    Comparison of Data Exploration features of DigitalOcean and Posit
    Feature
    DigitalOcean
    -
    Ratings
    Posit
    9.0
    27 Ratings
    7% above category average
    Visualization00 Ratings8.027 Ratings
    Interactive Data Analysis00 Ratings10.024 Ratings
    Data Preparation
    Comparison of Data Preparation features of DigitalOcean and Posit
    Feature
    DigitalOcean
    -
    Ratings
    Posit
    10.0
    26 Ratings
    20% above category average
    Interactive Data Cleaning and Enrichment00 Ratings10.024 Ratings
    Data Transformations00 Ratings10.026 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of DigitalOcean and Posit
    Feature
    DigitalOcean
    -
    Ratings
    Posit
    10.0
    22 Ratings
    17% above category average
    Multiple Model Development Languages and Tools00 Ratings10.022 Ratings
    Single platform for multiple model development00 Ratings10.022 Ratings
    Self-Service Model Delivery00 Ratings10.019 Ratings
    Model Deployment
    Comparison of Model Deployment features of DigitalOcean and Posit
    Feature
    DigitalOcean
    -
    Ratings
    Posit
    9.9
    18 Ratings
    15% above category average
    Flexible Model Publishing Options00 Ratings10.018 Ratings
    Security, Governance, and Cost Controls00 Ratings9.915 Ratings
    Best Alternatives
    DigitalOceanPosit
    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
    DigitalOceanPosit
    Likelihood to Recommend
    8.9
    (36 ratings)
    10.0
    (123 ratings)
    Likelihood to Renew
    9.0
    (2 ratings)
    9.7
    (17 ratings)
    Usability
    8.9
    (10 ratings)
    8.0
    (4 ratings)
    Availability
    10.0
    (1 ratings)
    9.4
    (3 ratings)
    Performance
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.8
    (9 ratings)
    8.9
    (9 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.3
    (4 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    10.0
    (1 ratings)
    8.2
    (3 ratings)
    User Testimonials
    DigitalOceanPosit
    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
    Posit (formerly RStudio)
    In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.
    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
    Posit (formerly RStudio)
    • The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
    • The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
    • Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
    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
    Posit (formerly RStudio)
    • Python integration is newer and still can be rough, especially with when using virtual environments.
    • RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
    • Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
    Incentivized
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    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
    Posit (formerly RStudio)
    There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.
    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
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    Posit (formerly RStudio)
    For someone who learns how to use the software and picks up on the "language" of R, it's very easy to use. For beginners, it can be hard and might require a course, as well as the appropriate statistical training to understand what packages to use and when
    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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    Posit (formerly RStudio)
    RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses
    Incentivized
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    Performance
    DigitalOcean
    Very quick response and high performance, you have to fine tune configurations on your machines though.
    Incentivized
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    Posit (formerly RStudio)
    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
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    Posit (formerly RStudio)
    Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.
    Incentivized
    Read full review
    Implementation Rating
    DigitalOcean
    No answers on this topic
    Posit (formerly RStudio)
    We did it at the individual level: anyone willing to code in R can use it. No real deployment involved.
    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
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    Posit (formerly RStudio)
    RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
    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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    Posit (formerly RStudio)
    RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.
    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
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    Posit (formerly RStudio)
    • Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
    • Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
    • What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).
    Incentivized
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    ScreenShots

    Posit Screenshots

    Screenshot of Posit runs on most desktops or on a server and accessed over the webScreenshot of Posit supports authoring HTML, PDF, Word Documents, and slide showsScreenshot of Posit supports interactive graphics with Shiny and ggvisScreenshot of Shiny combines the computational power of R with the interactivity of the modern webScreenshot of Remote Interactive Sessions: Start R and Python processes from Posit Workbench within various systems such as Kubernetes and SLURM with Launcher.Screenshot of Jupyter: Author and edit Python code with Jupyter using the same Posit Workbench infrastructure.