Best Platform as a Service (PaaS) Providers for BentoML

Find and compare the best Platform as a Service (PaaS) providers for BentoML in 2025

Use the comparison tool below to compare the top Platform as a Service (PaaS) providers for BentoML on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Google Cloud Run Reviews
    Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.
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    Amazon Web Services (AWS) Reviews
    Top Pick
    AWS offers a wide range of services, including database storage, compute power, content delivery, and other functionality. This allows you to build complex applications with greater flexibility, scalability, and reliability. Amazon Web Services (AWS), the world's largest and most widely used cloud platform, offers over 175 fully featured services from more than 150 data centers worldwide. AWS is used by millions of customers, including the fastest-growing startups, large enterprises, and top government agencies, to reduce costs, be more agile, and innovate faster. AWS offers more services and features than any other cloud provider, including infrastructure technologies such as storage and databases, and emerging technologies such as machine learning, artificial intelligence, data lakes, analytics, and the Internet of Things. It is now easier, cheaper, and faster to move your existing apps to the cloud.
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    Heroku Reviews
    Top Pick

    Heroku

    Salesforce

    $7.00 per user per month
    7 Ratings
    Heroku is a cloud platform that allows companies to build, deliver and monitor apps. We're the fastest way to get from idea to URL without all the infrastructure headaches. "There's an App for That" - a catchy marketing campaign only a few years back introduced the world to a new relationship between the mobile phone and the world. Apps are now a part of our daily lives. Apps and their underlying APIs, whether mobile or web, are how we manage our lives and make purchases, interact with customers, stay informed, socialize, and stay informed. When customers interact with an app, it starts to impact the world. Companies can be saved or destroyed by getting apps out there, on the Internet quickly, and iterating fast. Heroku is relentlessly focused on apps and the developer experience. Heroku allows companies of all sizes to embrace the value of apps and not the distractions of hardware or servers - virtual or real.
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    AWS Lambda Reviews
    You can run code without worrying about servers. Only pay for the compute time that you use. AWS Lambda allows you to run code without having to provision or manage servers. You only pay for the compute time that you use. Lambda allows you to run code for any type of backend service or application - and all this with zero administration. Upload your code, and Lambda will take care of scaling your code with high availability. Your code can be set up to trigger automatically from other AWS services, or you can call it directly from any mobile or web app. AWS Lambda runs your code automatically without you having to manage or provision servers. Simply write the code and upload it directly to Lambda. AWS Lambda automatically scales the application by running code according to each trigger. Your code runs in parallel, processing each trigger separately, scaling exactly with the workload.
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