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Microsoft Azure vs NGINX: What are the differences?
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- Pricing Model: Microsoft Azure follows a pay-as-you-go pricing model, allowing users to pay only for the services they use, while NGINX offers a free open-source version as well as a paid subscription for additional features and support.
- Scope of Services: Microsoft Azure is a comprehensive cloud computing platform offering a wide range of services such as virtual machines, storage, databases, machine learning, and more, whereas NGINX primarily focuses on web server and load balancing solutions.
- Ownership and Support: Microsoft Azure is owned and supported by Microsoft, a well-established technology company with a global presence and dedicated customer support, while NGINX is maintained by NGINX, Inc., a smaller company specializing in web server software.
- Integration with Third-Party Tools: Microsoft Azure provides seamless integration with a variety of third-party tools and services, offering a more extensive ecosystem for users, whereas NGINX focuses on optimizing performance and security for web applications without as much emphasis on integrations.
- Scalability and Flexibility: Microsoft Azure offers high scalability and flexibility in terms of resources and services, enabling users to easily scale up or down based on their needs, while NGINX excels in handling high traffic loads efficiently by optimizing server performance and load balancing.
- Community Support: NGINX has a strong community of developers and users who contribute to its open-source projects, providing a wealth of resources and support, whereas Microsoft Azure, although having a large user base, may not have the same level of community-driven support for all its services.
In Summary, Microsoft Azure and NGINX differ in pricing models, range of services, ownership, integration capabilities, scalability, and community support.
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Learn MorePros of Microsoft Azure
Pros of NGINX
Pros of Microsoft Azure
- Scales well and quite easy114
- Can use .Net or open source tools96
- Startup friendly81
- Startup plans via BizSpark73
- High performance62
- Wide choice of services38
- Low cost32
- Lots of integrations32
- Reliability31
- Twillio & Github are directly accessible19
- RESTful API13
- PaaS10
- Enterprise Grade10
- Startup support10
- DocumentDB8
- In person support7
- Free for students6
- Service Bus6
- Virtual Machines6
- Redis Cache5
- It rocks5
- Storage, Backup, and Recovery4
- Infrastructure Services4
- SQL Databases4
- CDN4
- Integration3
- Scheduler3
- Preview Portal3
- HDInsight3
- Built on Node.js3
- Big Data3
- BizSpark 60k Azure Benefit3
- IaaS3
- Backup2
- Open cloud2
- Web2
- SaaS2
- Big Compute2
- Mobile2
- Media2
- Dev-Test2
- Storage2
- StorSimple2
- Machine Learning2
- Stream Analytics2
- Data Factory2
- Event Hubs2
- Virtual Network2
- ExpressRoute2
- Traffic Manager2
- Media Services2
- BizTalk Services2
- Site Recovery2
- Active Directory2
- Multi-Factor Authentication2
- Visual Studio Online2
- Application Insights2
- Automation2
- Operational Insights2
- Key Vault2
- Infrastructure near your customers2
- Easy Deployment2
- Enterprise customer preferences1
- Documentation1
- Security1
- Best cloud platfrom1
- Easy and fast to start with1
- Remote Debugging1
Pros of NGINX
- High-performance http server1.4K
- Performance894
- Easy to configure730
- Open source607
- Load balancer530
- Free289
- Scalability288
- Web server226
- Simplicity175
- Easy setup136
- Content caching30
- Web Accelerator21
- Capability15
- Fast14
- High-latency12
- Predictability12
- Reverse Proxy8
- The best of them7
- Supports http/27
- Great Community5
- Lots of Modules5
- Enterprise version5
- High perfomance proxy server4
- Embedded Lua scripting3
- Streaming media delivery3
- Streaming media3
- Reversy Proxy3
- Blash2
- GRPC-Web2
- Lightweight2
- Fast and easy to set up2
- Slim2
- saltstack2
- Virtual hosting1
- Narrow focus. Easy to configure. Fast1
- Along with Redis Cache its the Most superior1
- Ingress controller1
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Cons of Microsoft Azure
Cons of NGINX
Cons of Microsoft Azure
- Confusing UI7
- Expensive plesk on Azure2
Cons of NGINX
- Advanced features require subscription10
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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.
What is NGINX?
nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018.
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What companies use Microsoft Azure?
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What companies use Microsoft Azure?
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Blog Posts
Jan 15 2020 at 11:37AM
Rafay Systems
What are some alternatives to Microsoft Azure and NGINX?
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.
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.
OneDrive
Outlook.com is a free, personal email service from Microsoft. Keep your inbox clutter-free with powerful organizational tools, and collaborate easily with OneDrive and Office Online integration.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Oracle
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.