Alternatives to Scaleway logo

Alternatives to Scaleway

Hetzner Online AG, DigitalOcean, OVH, Vultr, and Linode are the most popular alternatives and competitors to Scaleway.
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What is Scaleway and what are its top alternatives?

European cloud computing company proposing a complete & simple public cloud ecosystem, bare-metal servers & private datacenter infrastructures.
Scaleway is a tool in the Cloud Hosting category of a tech stack.

Top Alternatives to Scaleway

  • Hetzner Online AG

    Hetzner Online AG

    Hetzner Online is a professional web hosting provider and experienced data center operator. Since 1997 the company has provided private and business clients with high-performance hosting products as well as the necessary infrastructure for the efficient operation of websites. ...

  • DigitalOcean

    DigitalOcean

    We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel. ...

  • OVH

    OVH

    OVHcloud is a global cloud provider that specialises in delivering industry-leading performance and cost-effective solutions to better manage, secure, and scale data. The group manages 30 data centres across 12 sites in 4 continents, man ...

  • Vultr

    Vultr

    Strategically located in 16 datacenters around the globe and provides frictionless provisioning of public cloud, storage and single-tenant bare metal. ...

  • Linode

    Linode

    Get a server running in minutes with your choice of Linux distro, resources, and node location. ...

  • Amazon EC2

    Amazon EC2

    It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers. ...

  • Microsoft Azure

    Microsoft Azure

    Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment. ...

  • Google Cloud Platform

    Google Cloud Platform

    It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. ...

Scaleway alternatives & related posts

Hetzner Online AG logo

Hetzner Online AG

135
128
28
Dedicated Hosting and Colocation Racks
135
128
+ 1
28
PROS OF HETZNER ONLINE AG
  • 7
    Perfect for all needs
  • 5
    Great performance / $
  • 5
    Quick support
  • 4
    German Data-Center location
  • 4
    Ssh & vnc access
  • 3
    Hcloud
CONS OF HETZNER ONLINE AG
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    related Hetzner Online AG posts

    Joshua Dean K眉pper
    CEO at Scrayos UG (haftungsbeschr盲nkt) | 5 upvotes 路 79.5K views

    We use Hetzner Online AG since the inception of our business, because of the great prices, marvelous support and great interface (especially the new cloud interface). Other options that we tested are DigitalOcean (was more expensive than the new hetzner cloud and didn't offer "huge" dedicated servers), @Vultr (about the same issue as with DigitalOcean , although the prices were better), OVH (Prices, old interface, no "tiny" packages and [at least back at the day] only monthly payment) and Living Bots (Only dedicated servers, too expensive for our needs).

    Hetzner offered the best spectrum of servers and has great prices and REALLY great prices in the server auctions.

    See more
    DigitalOcean logo

    DigitalOcean

    13.1K
    9.1K
    2.6K
    Deploy an SSD cloud server in less than 55 seconds with a dedicated IP and root access.
    13.1K
    9.1K
    + 1
    2.6K
    PROS OF DIGITALOCEAN
    • 559
      Great value for money
    • 363
      Simple dashboard
    • 357
      Good pricing
    • 300
      Ssds
    • 248
      Nice ui
    • 192
      Easy configuration
    • 155
      Great documentation
    • 137
      Ssh access
    • 134
      Great community
    • 24
      Ubuntu
    • 12
      IPv6 support
    • 12
      Docker
    • 10
      Private networking
    • 7
      99.99% uptime SLA
    • 7
      Great tutorials
    • 7
      Simple API
    • 6
      55 Second Provisioning
    • 5
      One Click Applications
    • 4
      CoreOS
    • 4
      Dokku
    • 4
      Node.js
    • 4
      Debian
    • 4
      LAMP
    • 3
      Ghost
    • 3
      1Gb/sec Servers
    • 3
      Simple Control Panel
    • 3
      LEMP
    • 3
      Word Press
    • 2
      Runs CoreOS
    • 2
      Mean
    • 2
      Speed
    • 2
      GitLab
    • 2
      Django
    • 2
      Quick and no nonsense service
    • 2
      Good Tutorials
    • 2
      Ruby on Rails
    • 2
      Hex Core machines with dedicated ECC Ram and RAID SSD s
    • 1
      Spaces
    • 1
      My go to server provider
    • 1
      Ease and simplicity
    • 1
      Nice
    • 1
      Find it superfitting with my requirements (SSD, ssh.
    • 1
      Easy Setup
    • 1
      Transfer Globally
    • 1
      Drupal
    • 1
      FreeBSD Amp
    • 1
      Amazing Hardware
    • 1
      Magento
    • 1
      KVM Virtualization
    • 1
      ownCloud
    • 1
      RedMine
    • 1
      CentOS
    • 1
      Fedora
    • 1
      FreeBSD
    • 1
      Cheap
    • 1
      Static IP
    • 1
      It's the easiest to get started for small projects
    • 1
      Automatic Backup
    • 1
      Great support
    • 1
      Quick and easy to set up
    • 1
      Servers on demand - literally
    • 1
      Reliability
    • 0
      Variety of services
    • 0
      Managed Kubernetes
    CONS OF DIGITALOCEAN
    • 3
      Pricing
    • 2
      No live support chat

    related DigitalOcean posts

    I am going to build a backend which will serve my React site. It will need to interact with a PostgreSQL database where it will store and read users and create and use JSON Web Token for authenticating HTTP requests. I know EF core has good migration tooling, can Go provide the same or better? I am a one man team and I'll be hosting this either on Heroku or DigitalOcean.

    See more
    Rajat Jain
    Devops Engineer at Aurochssoftware | 1 upvote 路 170.8K views

    Building my skill set to become Devops Engineer-Tool chain: Amazon EC2, Amazon S3, Bitbucket, GitLab, PyCharm, Ubuntu, DigitalOcean, Docker, Git

    IT engineer with more than 6 months of experience in startups with focus on DevOps, Cloud infrastructure & Testing (QA). I had set up CI process, monitoring and infrastructure on dev/test (lower) environments

    See more
    OVH logo

    OVH

    281
    248
    168
    Dedicated infrastructure for your business
    281
    248
    + 1
    168
    PROS OF OVH
    • 54
      Cost effective
    • 32
      Dedicated Hardware
    • 27
      DDoS Protection
    • 25
      Unmetered Bandwidth
    • 9
      Fun
    • 4
      SSH root access
    • 4
      Openstack
    • 4
      ceph
    • 3
      Fast delivery
    • 3
      Own network
    • 3
      Low cost
    • 0
      Cons of OVH
    CONS OF OVH
    • 1
      Incidents

    related OVH posts

    Joshua Dean K眉pper
    CEO at Scrayos UG (haftungsbeschr盲nkt) | 5 upvotes 路 79.5K views

    We use Hetzner Online AG since the inception of our business, because of the great prices, marvelous support and great interface (especially the new cloud interface). Other options that we tested are DigitalOcean (was more expensive than the new hetzner cloud and didn't offer "huge" dedicated servers), @Vultr (about the same issue as with DigitalOcean , although the prices were better), OVH (Prices, old interface, no "tiny" packages and [at least back at the day] only monthly payment) and Living Bots (Only dedicated servers, too expensive for our needs).

    Hetzner offered the best spectrum of servers and has great prices and REALLY great prices in the server auctions.

    See more
    Adrien Rey-Jarthon

    Hosting updown.io started with a single OVH server and quickly grew to more server, first it was DigitalOcean VMs and we were very satisfied about them. But we then noticed some shortcomings about #IPv6 networking, although DigitalOcean supports it they don't provide the standard IP range to each VM (by choice) and thus have to block port 25 to avoid other machines being blocked in case of spammer. This is not good for us it means we can't monitor IPv6 SMTP servers properly, that's why we switched to @Vultr (one of their main competitors) which provides similar prices, more locations, and true IPv6 support with no blocked ports. Of course they offer less tools and the support is probably better at DigitalOcean but so far we're happy with @Vultr.

    We still use some @OVH servers (which offers tremendous price/performance ratio) for the main web and database server + 2 of the daemons. In addition to this, we also have 2 DigitalOcean VMs for the secondary web and database server and for the automatic TLS termination proxy used to automatically issue Let's Encrypt certs for status page custom domains (for these servers the IPv6 port block is not an issue)

    See more
    Vultr logo

    Vultr

    137
    111
    7
    Deploy Cloud Servers, Bare Metal, and Storage worldwide
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    + 1
    7
    PROS OF VULTR
    • 3
      <a href="https://hostandprotect.com/">secure</a>
    • 2
      Affordable
    • 2
      Cloud Based
    CONS OF VULTR
      Be the first to leave a con

      related Vultr posts

      Paul Whittemore
      Developer and Owner at Appurist Software | 4 upvotes 路 130K views

      For those needing hosting on Windows or Windows Server too (and avoiding licensing hurdles), both Vultr and Amazon LightSail offer compelling choices, depending on how much compute power you need. Don't underestimate Amazon LightSail, especially for smaller or starting projects, but Vultr also offers an incremental $16 Windows option on top of their standard compute offerings.

      See more
      Linode logo

      Linode

      629
      543
      424
      Deploy and Manage Linux Virtual Servers in the Linode Cloud.
      629
      543
      + 1
      424
      PROS OF LINODE
      • 102
        Extremely reliable
      • 71
        Good value
      • 59
        Easy to configure
      • 59
        Great customer support
      • 36
        Great documentation
      • 24
        Servers across the world
      • 18
        Managed/hosted DNS service
      • 15
        Simple ui
      • 11
        Network and CPU usage graphs
      • 7
        IPv6 support
      • 6
        Multiple IP address support
      • 3
        Ssh access
      • 3
        Good price, good cusomter sevice
      • 2
        IP address fail over support
      • 2
        SSH root access
      • 1
        Great performance compared to EC2 or DO
      • 1
        Best customizable VPS
      • 1
        Latest kernels
      • 1
        Cheapest
      • 1
        Ssds
      • 1
        It runs apps with speed
      CONS OF LINODE
      • 2
        No "floating IP" support

      related Linode posts

      Kumar Gaurav
      DevOps Engineer at CoRover Private Limited | 2 upvotes 路 9.4K views
      Shared insights
      on
      Microsoft Azure
      Linode

      What is the data transfer out cost (Bandwidth cost) on Linode compared to Microsoft Azure?

      See more
      Amazon EC2 logo

      Amazon EC2

      36K
      25K
      2.5K
      Scalable, pay-as-you-go compute capacity in the cloud
      36K
      25K
      + 1
      2.5K
      PROS OF AMAZON EC2
      • 644
        Quick and reliable cloud servers
      • 515
        Scalability
      • 391
        Easy management
      • 276
        Low cost
      • 269
        Auto-scaling
      • 88
        Market leader
      • 80
        Backed by amazon
      • 78
        Reliable
      • 66
        Free tier
      • 57
        Easy management, scalability
      • 12
        Flexible
      • 10
        Easy to Start
      • 9
        Web-scale
      • 8
        Widely used
      • 8
        Elastic
      • 7
        Node.js API
      • 4
        Industry Standard
      • 3
        Lots of configuration options
      • 2
        GPU instances
      • 1
        Amazing for individuals
      • 1
        Extremely simple to use
      • 1
        All the Open Source CLI tools you could want.
      • 1
        Simpler to understand and learn
      CONS OF AMAZON EC2
      • 13
        Ui could use a lot of work
      • 6
        High learning curve when compared to PaaS
      • 3
        Extremely poor CPU performance

      related Amazon EC2 posts

      Ashish Singh
      Tech Lead, Big Data Platform at Pinterest | 35 upvotes 路 748.1K views

      To provide employees with the critical need of interactive querying, we鈥檝e worked with Presto, an open-source distributed SQL query engine, over the years. Operating Presto at Pinterest鈥檚 scale has involved resolving quite a few challenges like, supporting deeply nested and huge thrift schemas, slow/ bad worker detection and remediation, auto-scaling cluster, graceful cluster shutdown and impersonation support for ldap authenticator.

      Our infrastructure is built on top of Amazon EC2 and we leverage Amazon S3 for storing our data. This separates compute and storage layers, and allows multiple compute clusters to share the S3 data.

      We have hundreds of petabytes of data and tens of thousands of Apache Hive tables. Our Presto clusters are comprised of a fleet of 450 r4.8xl EC2 instances. Presto clusters together have over 100 TBs of memory and 14K vcpu cores. Within Pinterest, we have close to more than 1,000 monthly active users (out of total 1,600+ Pinterest employees) using Presto, who run about 400K queries on these clusters per month.

      Each query submitted to Presto cluster is logged to a Kafka topic via Singer. Singer is a logging agent built at Pinterest and we talked about it in a previous post. Each query is logged when it is submitted and when it finishes. When a Presto cluster crashes, we will have query submitted events without corresponding query finished events. These events enable us to capture the effect of cluster crashes over time.

      Each Presto cluster at Pinterest has workers on a mix of dedicated AWS EC2 instances and Kubernetes pods. Kubernetes platform provides us with the capability to add and remove workers from a Presto cluster very quickly. The best-case latency on bringing up a new worker on Kubernetes is less than a minute. However, when the Kubernetes cluster itself is out of resources and needs to scale up, it can take up to ten minutes. Some other advantages of deploying on Kubernetes platform is that our Presto deployment becomes agnostic of cloud vendor, instance types, OS, etc.

      #BigData #AWS #DataScience #DataEngineering

      See more
      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH | 28 upvotes 路 2.6M views

      Our whole DevOps stack consists of the following tools:

      • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
      • Respectively Git as revision control system
      • SourceTree as Git GUI
      • Visual Studio Code as IDE
      • CircleCI for continuous integration (automatize development process)
      • Prettier / TSLint / ESLint as code linter
      • SonarQube as quality gate
      • Docker as container management (incl. Docker Compose for multi-container application management)
      • VirtualBox for operating system simulation tests
      • Kubernetes as cluster management for docker containers
      • Heroku for deploying in test environments
      • nginx as web server (preferably used as facade server in production environment)
      • SSLMate (using OpenSSL) for certificate management
      • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
      • PostgreSQL as preferred database system
      • Redis as preferred in-memory database/store (great for caching)

      The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

      • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
      • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
      • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
      • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
      • Scalability: All-in-one framework for distributed systems.
      • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
      See more
      Microsoft Azure logo

      Microsoft Azure

      15.8K
      9.7K
      746
      Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios.
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      746
      PROS OF MICROSOFT AZURE
      • 112
        Scales well and quite easy
      • 93
        Can use .Net or open source tools
      • 80
        Startup friendly
      • 72
        Startup plans via BizSpark
      • 61
        High performance
      • 36
        Wide choice of services
      • 32
        Low cost
      • 31
        Lots of integrations
      • 29
        Reliability
      • 18
        Twillio & Github are directly accessible
      • 11
        RESTful API
      • 9
        Enterprise Grade
      • 9
        Startup support
      • 9
        PaaS
      • 7
        Free for students
      • 7
        DocumentDB
      • 7
        In person support
      • 6
        Virtual Machines
      • 5
        Service Bus
      • 5
        It rocks
      • 4
        Storage, Backup, and Recovery
      • 4
        Infrastructure Services
      • 4
        SQL Databases
      • 4
        Redis Cache
      • 4
        CDN
      • 3
        Scheduler
      • 3
        BizSpark 60k Azure Benefit
      • 3
        HDInsight
      • 3
        Big Data
      • 3
        Integration
      • 3
        IaaS
      • 3
        Built on Node.js
      • 3
        Preview Portal
      • 2
        Machine Learning
      • 2
        Stream Analytics
      • 2
        Data Factory
      • 2
        Event Hubs
      • 2
        Virtual Network
      • 2
        ExpressRoute
      • 2
        Traffic Manager
      • 2
        Media Services
      • 2
        BizTalk Services
      • 2
        Backup
      • 2
        Site Recovery
      • 2
        Active Directory
      • 2
        Multi-Factor Authentication
      • 2
        Visual Studio Online
      • 2
        Application Insights
      • 2
        Automation
      • 2
        Big Compute
      • 2
        Mobile
      • 2
        Media
      • 2
        Dev-Test
      • 2
        Web
      • 2
        Storage
      • 2
        StorSimple
      • 2
        Operational Insights
      • 2
        Key Vault
      • 2
        Infrastructure near your customers
      • 2
        Easy Deployment
      • 2
        SaaS
      • 1
        Best cloud platfrom
      • 1
        Easy and fast to start with
      • 1
        Documentation
      • 1
        Open cloud
      • 1
        Remote Debugging
      • 1
        Enterprise customer preferences
      • 1
        Security
      CONS OF MICROSOFT AZURE
      • 6
        Confusing UI
      • 2
        Expensive plesk on Azure

      related Microsoft Azure posts

      Omar Mehilba
      Co-Founder and COO at Magalix | 18 upvotes 路 250.9K views

      We are hardcore Kubernetes users and contributors. We loved the automation it provides. However, as our team grew and added more clusters and microservices, capacity and resources management becomes a massive pain to us. We started suffering from a lot of outages and unexpected behavior as we promote our code from dev to production environments. Luckily we were working on our AI-powered tools to understand different dependencies, predict usage, and calculate the right resources and configurations that should be applied to our infrastructure and microservices. We dogfooded our agent (http://github.com/magalixcorp/magalix-agent) and were able to stabilize as the #autopilot continuously recovered any miscalculations we made or because of unexpected changes in workloads. We are open sourcing our agent in a few days. Check it out and let us know what you think! We run workloads on Microsoft Azure Google Kubernetes Engine and Amazon EC2 and we're all about Go and Python!

      See more
      Kestas Barzdaitis
      Entrepreneur & Engineer | 16 upvotes 路 414.3K views

      CodeFactor being a #SAAS product, our goal was to run on a cloud-native infrastructure since day one. We wanted to stay product focused, rather than having to work on the infrastructure that supports the application. We needed a cloud-hosting provider that would be reliable, economical and most efficient for our product.

      CodeFactor.io aims to provide an automated and frictionless code review service for software developers. That requires agility, instant provisioning, autoscaling, security, availability and compliance management features. We looked at the top three #IAAS providers that take up the majority of market share: Amazon's Amazon EC2 , Microsoft's Microsoft Azure, and Google Compute Engine.

      AWS has been available since 2006 and has developed the most extensive services ant tools variety at a massive scale. Azure and GCP are about half the AWS age, but also satisfied our technical requirements.

      It is worth noting that even though all three providers support Docker containerization services, GCP has the most robust offering due to their investments in Kubernetes. Also, if you are a Microsoft shop, and develop in .NET - Visual Studio Azure shines at integration there and all your existing .NET code works seamlessly on Azure. All three providers have serverless computing offerings (AWS Lambda, Azure Functions, and Google Cloud Functions). Additionally, all three providers have machine learning tools, but GCP appears to be the most developer-friendly, intuitive and complete when it comes to #Machinelearning and #AI.

      The prices between providers are competitive across the board. For our requirements, AWS would have been the most expensive, GCP the least expensive and Azure was in the middle. Plus, if you #Autoscale frequently with large deltas, note that Azure and GCP have per minute billing, where AWS bills you per hour. We also applied for the #Startup programs with all three providers, and this is where Azure shined. While AWS and GCP for startups would have covered us for about one year of infrastructure costs, Azure Sponsorship would cover about two years of CodeFactor's hosting costs. Moreover, Azure Team was terrific - I felt that they wanted to work with us where for AWS and GCP we were just another startup.

      In summary, we were leaning towards GCP. GCP's advantages in containerization, automation toolset, #Devops mindset, and pricing were the driving factors there. Nevertheless, we could not say no to Azure's financial incentives and a strong sense of partnership and support throughout the process.

      Bottom line is, IAAS offerings with AWS, Azure, and GCP are evolving fast. At CodeFactor, we aim to be platform agnostic where it is practical and retain the flexibility to cherry-pick the best products across providers.

      See more
      Google Cloud Platform logo

      Google Cloud Platform

      15.4K
      5.3K
      10
      A suite of cloud computing services
      15.4K
      5.3K
      + 1
      10
      PROS OF GOOGLE CLOUD PLATFORM
      • 3
        1 year free trial credit USD300
      • 2
        Cheap
      • 2
        Good app Marketplace for Beginner and Advanced User
      • 2
        Premium tier IP address
      • 1
        Live chat support
      CONS OF GOOGLE CLOUD PLATFORM
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        related Google Cloud Platform posts

        I am currently working on a long term mobile app project. Current stack: Frontend: Dart/Flutter Backend: Go, AWS Resources (AWS Lambda, Amazon DynamoDB, etc.) Since there are only two developers and we have limited time and resources, we are looking for a BAAS like Firebase or AWS Amplify to handle auth and push notifications for now. We are prioritizing developing speed so we can iterate quickly. The only problem is that AWS amplify support for flutter is in developer preview and has limited capabilities (We have tested it out in our app). Firebase is the more mature option. It has great support for flutter and has more than we need for auth, notifications, etc. My question is that, if we choose firebase, we would be stuck with using two different cloud providers. Is this bad, or is this even a problem? I am willing to change anything on the backend architecture wise, so any suggestions would be greatly appreciated as I am somewhat unfamiliar with Google Cloud Platform. Thank you.

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        Jorge Cortell
        Founder & CEO at Kanteron Systems | 1 upvote 路 54.2K views

        We use Google Cloud Platform, Microsoft Azure and Amazon S3 (amongst others) because our platform needs to be cloud-independent to give customers the freedom they need and deserve. But being in the healthcare enterprise space, we believe Azure is the top choice... today (it tends to change often).

        See more