Decision Library
AWS versus Cloudflare depends on the workload
The two platforms overlap less than their marketing suggests. AWS is a vast catalog of services run from regional data centers, able to host almost any system. Cloudflare began as a network in front of other people's servers and now also runs code and stores data across that network, close to users. The right choice depends on what you are running.
Different shapes of platform
AWS offers hundreds of services, from virtual machines and managed databases to queues, analytics and machine learning tools. You choose a region, and your system runs there unless you build it to run in several. That breadth suits complex systems with many moving parts and long running workloads.
Cloudflare's developer platform runs small programs at the edge of its network, in many cities at once, alongside storage, a database and its traffic protection services. It suits work that benefits from being near users, such as websites, APIs and request handling, and asks programs to work within tighter limits on memory and processing time.
Where the costs differ
Pricing models differ in ways that matter at scale. AWS generally charges for data leaving its network to the internet, a cost that can grow large for systems serving files or media. Cloudflare's object storage charges nothing for that outbound transfer, which changes the arithmetic for heavy downloads.
Compute is billed differently too: by the hour or second on servers, and by request and processing time for serverless functions on both platforms. Model your own traffic on each price list rather than relying on someone else's comparison.
Your team and your exit
The platform your team already knows has a real advantage. A team fluent in one platform will ship faster and make fewer costly mistakes than one learning both. Count the training time and the months of slower work honestly.
Consider the exit as well. The more a system relies on services unique to one platform, the more it costs to move later. Standard databases, containers and open formats keep the door open, at some cost in convenience.
Your workload in a Decision Room
In a Decision Room each path you list gets its own Champion, and a mixed setup or staying where you are can be among them. The Craftsman tests whether your team can build and run each option on your timeline. The Red Teamer runs the failures that matter for infrastructure: a regional outage, a traffic surge, a sudden cost spike. The engine works your own traffic and price figures exactly, and the Verdict names which path leads and what would change it. The Human Decision is yours.
A media site with heavy downloads
A company serves 200 terabytes of images and video a month from object storage on AWS, and its invoice shows about $14,000 a month for outbound transfer. Moving the files to Cloudflare's object storage would remove that transfer charge, while storage and request fees remain. The application itself runs on long lived servers with a large relational database, which suits AWS well. A mixed design, files at the edge and the core application where it is, cuts the largest cost line without a full migration, at the price of running two platforms.
Questions
- Can I use both platforms together?
- Yes, and many systems do, with Cloudflare in front for traffic protection and caching and AWS running the core application and data. The question then becomes which pieces belong where.
- Is the edge always faster?
- For work near the user, such as serving pages or checking requests, it often is. For work that needs a database in one region, code at the edge may still wait on that distant database, so measure end to end.
- Which is cheaper?
- That depends on the shape of your traffic. Systems that send a lot of data to users may save on transfer at the edge, while long running compute and complex data work can be cheaper on servers. Model your own figures.
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