Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

IBM Bluemix
IBM Bluemix

28
2
+ 1
0
Microsoft Azure
Microsoft Azure

6.9K
2.6K
+ 1
728
Add tool

IBM Bluemix vs Microsoft Azure: What are the differences?

IBM Bluemix: A cloud platform as a service *. It is an open standards, cloud platform for building, running, and managing apps and services. It supports several programming languages and services as well as integrated DevOps to build, run, deploy and manage applications on the cloud; *Microsoft Azure:** Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios. 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.

IBM Bluemix belongs to "Platform as a Service" category of the tech stack, while Microsoft Azure can be primarily classified under "Cloud Hosting".

According to the StackShare community, Microsoft Azure has a broader approval, being mentioned in 712 company stacks & 2315 developers stacks; compared to IBM Bluemix, which is listed in 7 company stacks and 5 developer stacks.

No Stats
- No public GitHub repository available -
- No public GitHub repository available -

What is IBM Bluemix?

It is an open standards, cloud platform for building, running, and managing apps and services. It supports several programming languages and services as well as integrated DevOps to build, run, deploy and manage applications on the cloud.

What is 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.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose IBM Bluemix?
Why do developers choose Microsoft Azure?
    Be the first to leave a pro

    Sign up to add, upvote and see more prosMake informed product decisions

      Be the first to leave a con
      Jobs that mention IBM Bluemix and Microsoft Azure as a desired skillset
      What companies use IBM Bluemix?
      What companies use Microsoft Azure?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with IBM Bluemix?
      What tools integrate with Microsoft Azure?
        No integrations found

        Sign up to get full access to all the tool integrationsMake informed product decisions

        What are some alternatives to IBM Bluemix and Microsoft Azure?
        Cloud Foundry
        Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.
        Heroku
        Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
        Google App Engine
        Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
        AWS Elastic Beanstalk
        Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
        Apollo
        Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
        See all alternatives
        Decisions about IBM Bluemix and Microsoft Azure
        Kestas Barzdaitis
        Kestas Barzdaitis
        Entrepreneur & Engineer · | 12 upvotes · 62.5K views
        atCodeFactorCodeFactor
        Google Cloud Functions
        Google Cloud Functions
        Azure Functions
        Azure Functions
        AWS Lambda
        AWS Lambda
        Docker
        Docker
        Google Compute Engine
        Google Compute Engine
        Microsoft Azure
        Microsoft Azure
        Amazon EC2
        Amazon EC2
        CodeFactor.io
        CodeFactor.io
        Kubernetes
        Kubernetes
        #SAAS
        #IAAS
        #Containerization
        #Autoscale
        #Startup
        #Automation
        #Machinelearning
        #AI
        #Devops

        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
        Omar Mehilba
        Omar Mehilba
        Co-Founder and COO at Magalix · | 13 upvotes · 50K views
        atMagalixMagalix
        Python
        Python
        Go
        Go
        Amazon EC2
        Amazon EC2
        Google Kubernetes Engine
        Google Kubernetes Engine
        Microsoft Azure
        Microsoft Azure
        Kubernetes
        Kubernetes
        #Autopilot

        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
        Mohamed Labouardy
        Mohamed Labouardy
        Founder at Komiser · | 5 upvotes · 12.2K views
        atKomiserKomiser
        GitHub
        GitHub
        Go
        Go
        Microsoft Azure
        Microsoft Azure
        OVH
        OVH
        Amazon Web Services
        Amazon Web Services
        Google Compute Engine
        Google Compute Engine

        Google Compute Engine Amazon Web Services OVH Microsoft Azure Go GitHub

        Last week, we released a fresh new release of Komiser with support of multiple AWS accounts. Komiser support multiple AWS accounts through named profiles that are stored in the credentials files.

        You can now analyze and identify potential cost savings on unlimited AWS environments (Production, Staging, Sandbox, etc) on one single dashboard.

        Read the full story in the blog post.

        See more
        Mohamed Labouardy
        Mohamed Labouardy
        Founder at Komiser · | 5 upvotes · 18K views
        atKomiserKomiser
        GitHub
        GitHub
        Microsoft Azure
        Microsoft Azure
        Material Design for Angular
        Material Design for Angular
        Docker
        Docker
        Go
        Go
        Amazon Web Services
        Amazon Web Services
        Google Compute Engine
        Google Compute Engine

        Google Compute Engine Amazon Web Services Go Docker Material Design for Angular Microsoft Azure GitHub I’m super excited to annonce the release of Komiser:2.1.0 with beta support of Google Cloud Platform. You can now use one single open source tool to detect both AWS and GCP overspending.

        Komiser allows you to analyze and manage #cloud cost, usage, #security, and governance in one place. Hence, detecting potential vulnerabilities that could put your cloud environment at risk.

        It allows you also to control your usage and create visibility across all used services to achieve maximum cost-effectiveness and get a deep understanding of how you spend on the #AWS, #GCP and #Azure.

        See more
        Interest over time
        Reviews of IBM Bluemix and Microsoft Azure
        Avatar of IanEdington
        Business Analyst
        Review ofMicrosoft AzureMicrosoft Azure

        Windows Azure is more difficult to configure than some other cloud based technologies, however, it makes up for it with the incredible integrations and ease of development on mobile platforms (Android, iOS and of course Windows Phone).

        The Azure Web Sites is a PaaS that is very easy to setup and is pretty powerful.

        If you want VMs you can have them and even program when they come online.

        There are tons of ways to use this service and there are a lot of free things you can get in order to try it out. The only downside is that you have to learn a new, although very powerful, platform.

        How developers use IBM Bluemix and Microsoft Azure
        Avatar of MOKA Analytics
        MOKA Analytics uses Microsoft AzureMicrosoft Azure

        We use Microsoft Azure because many of our clients are already Azure for their private cloud. Additionally, Azure supports App Service Environments (ASE), which isolates the application resources and gives us a static IP for securely accessing external resources

        Additionally, MSSQL supports columnstore tables which is critical for running fast analytics over large datasets

        Avatar of Daniel Kovacs
        Daniel Kovacs uses Microsoft AzureMicrosoft Azure

        My favourite cloud with all the great tools - web apps, mobile apps, storages, easy tables, blobs, app insights, cosmos DB... I think it is really usable and ergonomic. Plus point for mobile app.

        Avatar of PSESD
        PSESD uses Microsoft AzureMicrosoft Azure

        We currently host PRS and EARS on Azure as they are .Net apps, but we are currently porting these services to Scala and will be hosting them on Heroku with the other P2 SRX services.

        Avatar of Onezino Gabriel
        Onezino Gabriel uses Microsoft AzureMicrosoft Azure

        Serviço utilizado para deploy de toda a infraestrutura do projeto. Colocamos todas as peças do serviço no azure, garantindo uma forma rápida e garantia de escalibilidade.

        Avatar of Sean Long
        Sean Long uses Microsoft AzureMicrosoft Azure

        Blackbaud makes use of Azure and my current job is with Blackbaud. Therefore, due to the free credit and the ability to reuse tools, I rely on Azure quite a bit.

        Avatar of Namenoble Webhosting Terbaik
        Namenoble Webhosting Terbaik uses IBM BluemixIBM Bluemix

        use free ibm bluemix container

        How much does IBM Bluemix cost?
        How much does Microsoft Azure cost?
        Pricing unavailable
        News about IBM Bluemix
        More news