Currently developing my own social media website along with AI software for B2B clients (both aren't related), so I'm wondering which provider to go with to rely on for their services. Not just for hosting my website and to use their assets for AI, but other stuff too like database, training models, third party APIs, and anything else I might need. So far, I've decided to either go with AWS (Amazon), Microsoft Azure, or GCP (Google); CloudFlare, Shopify, and Wix are too generic and/or niche so too bad. I'm not from Asia and I don't really trust the CCP, so going for AliBaba Cloud and whatever Tencent has are a no-go for me too at the moment.
According to my research, AWS is the most popular and has the most tools but is the most complex; Azure is much easier to use and integrates well with the Microsoft ecosystem and is catching up to Azure, although it's not as popular and it's security sucks; GCP is the easiest to use and integrates well with the Google ecosystem and it barely has anything lol. AWS also seems to have better pricing overall while Azure is the worst (only free trial boo); GCP might be generous but aside from its AI stuff, it doesn't excel much. I am aware that Google and Amazon have a history of censorship but Microsoft for the most part is chill (LinkedIn 🤮).
Just know that for the most part I'm only gonna go for free services and products offered; I won't go for anything paid until later on when I'm finished with both the website and the AI products, and I start working full-time. I know that it'll take awhile for my startups to even take off, so that's why I'll sadly have to work and deal with the BS of the workforce. And don't worry about me, I'll never disclose to employers that I'm the founder and CEO of my own startup (s) - technically, I only have 1 startup that I registered. But if my startups take off in the future and I earn enough money, then I'll quit whatever job I got and do business full time.
According to my research, AWS is the most popular and has the most tools but is the most complex; Azure is much easier to use and integrates well with the Microsoft ecosystem and is catching up to Azure, although it's not as popular and it's security sucks; GCP is the easiest to use and integrates well with the Google ecosystem and it barely has anything lol. AWS also seems to have better pricing overall while Azure is the worst (only free trial boo); GCP might be generous but aside from its AI stuff, it doesn't excel much. I am aware that Google and Amazon have a history of censorship but Microsoft for the most part is chill (LinkedIn 🤮).
Just know that for the most part I'm only gonna go for free services and products offered; I won't go for anything paid until later on when I'm finished with both the website and the AI products, and I start working full-time. I know that it'll take awhile for my startups to even take off, so that's why I'll sadly have to work and deal with the BS of the workforce. And don't worry about me, I'll never disclose to employers that I'm the founder and CEO of my own startup (s) - technically, I only have 1 startup that I registered. But if my startups take off in the future and I earn enough money, then I'll quit whatever job I got and do business full time.
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Choosing the best cloud data provider for your startup depends on various factors, including your specific requirements, budget, and preferences. As of my last knowledge update in January 2022, three major cloud providers are often considered the top choices: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Each has its strengths, and the "best" choice depends on your startup's unique needs. Here's a brief overview:
Amazon Web Services (AWS):
Strengths: Broad service offering, extensive global infrastructure, strong ecosystem and community support.
Popular Use Cases: Widely used for various purposes, including web hosting, machine learning, storage, and databases.
Microsoft Azure:
Strengths: Integration with Microsoft products, comprehensive services, strong support for hybrid cloud deployments.
Popular Use Cases: Often chosen by enterprises with existing Microsoft infrastructure, AI and machine learning, and Windows-based applications.
Google Cloud Platform (GCP):
Strengths: Strong in data analytics, machine learning, and container orchestration (e. g., Kubernetes). Emphasizes data and analytics capabilities.
Popular Use Cases: Commonly used for data analytics, machine learning, and cloud-native applications.
Consider the following factors when making your decision:
Services and Features: Evaluate each provider's services and features to ensure they align with your startup's needs. For example, if you're heavily focused on machine learning, GCP might be a strong contender.
Costs: Compare pricing structures and identify which provider offers the most cost-effective solution for your specific use case. Consider potential hidden costs, such as data transfer fees.
Scalability: Choose a provider that can scale with your startup's growth. Ensure that the provider offers the necessary services for your current and future needs.
Community and Support: Consider the level of community support and the availability of documentation. A strong community can be beneficial for problem-solving and learning.
Compliance and Security: Depending on your industry, you may have specific compliance requirements. Assess each provider's compliance certifications and security features.
Integration: If you're using specific tools, frameworks, or programming languages, check for compatibility and ease of integration with each cloud provider.
Keep in mind that the cloud landscape is dynamic, and new features and services may be introduced over time. It's advisable to check the latest updates and reviews before making a decision, as the information provided here is based on my last training cut-off in January 2022.
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Trial and error. I wouldn't know either.
Do more research
i did and i went with AWS
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