AWS and Azure are the two platforms most teams shortlist first, and the listings on Buy Cloud Now reflect that. Both product pages carry more account options than any other provider on the marketplace, but the two option families are built around different ideas. AWS listings lean on vCPU and request-rate profiles, while Azure listings are organized around credit balances with optional AI enablement.
This comparison walks through what each platform is, how the listed options differ, and which kinds of teams tend to fit each one. It does not pick a winner. The right choice depends on the ecosystem you already work in and the workload you plan to run.
What each provider is
Amazon Web Services is one of the most widely used cloud platforms for running applications, storing data, training models and scaling infrastructure. Its catalog spans compute, storage, databases, serverless and machine learning services, and its tooling ecosystem is mature. The Buy AWS Account page lists fourteen options, from the AWS Free Trail to Bedrock profiles and credit accounts up to $100K.
Azure is Microsoft’s cloud. It is a common choice in environments that already use Microsoft identity, productivity or directory services, and it offers hybrid connectivity options and enterprise identity features. The Buy Azure Account page lists thirteen options, including student and trial credits, a pay-as-you-go account, and credit tiers with and without AI services enabled.
Key differences
- Option structure. AWS listings include vCPU-labelled accounts (AWS vCPU32, AWS vCPU32 With CloudFront Enable), request-rate profiles (AWS 10RPM vCPU5 Account, AWS 50RPM vCPU5 Account) and Bedrock accounts. Azure listings are almost entirely credit-based, stepping from $100 to $100k.
- AI positioning. AWS expresses AI capacity through Bedrock profiles such as the AWS vCPU512 10K RPM Bedrock Account. Azure expresses it as a variant of the credit tier, for example Azure $1k Credit With Ai Enable Account against the plain Azure $1k Credit Account.
- Entry points. Both start at $25 on the marketplace, but the AWS entry is a trial account and the Azure entry is a student credit account.
- Ecosystem. AWS is often chosen for service breadth and existing team expertise. Azure is often chosen where Microsoft integration matters.
Account options compared
The table above summarizes the listed families. On the AWS side, the credit accounts run $1K ($220), $5K ($950), $10K ($2200), $25K ($4500) and $100K ($16500). The AWS Old vCPU32/64/128/256/512 Account is listed without a fixed price; the listing says to get the latest price on Telegram.
On the Azure side, the plain credit tiers run from Azure $1k Credit Account at $160 to Azure $100k Credit Account at $12500. The AI-enabled variants sit at $250 for $1k, $400 for $2k, $850 for $5k and $1750 for $10k. Azure Pay-As-you-Go Account is listed at $40 for teams that do not want a prepaid balance at all.
Fit by use case
- Developers. The AWS Free Trail ($25) and Azure Free Trail $200 Credit Account ($35) are the lowest-commitment ways to explore either platform. Students may look at Azure Student $100 Credit Account.
- Startups. Credit-backed accounts on either platform suit teams that want a predictable prepaid balance while they build. Read how cloud credits work across providers before relying on one.
- Agencies. Client work usually follows the client’s ecosystem. Microsoft-centric clients tend toward Azure; clients with existing AWS estates tend toward AWS.
- Enterprise and AI teams. The Bedrock profiles on AWS and the AI-enabled tiers on Azure are the listed routes for model-serving workloads. The guide to AWS account types maps each AWS family to its purpose.
Considerations and limitations
Every account on the marketplace is listed by an independent seller. Buy Cloud Now is not affiliated with Amazon or Microsoft. Any account you operate must stay within the provider’s terms of service, and you remain responsible for security, cost control and acceptable use.
Credit balances, quotas and enabled services should be confirmed before you plan around them. Provider-specific questions are collected in the Cloud FAQ under AWS and Azure.

