Amazon CloudFront vs Modal Comparison

A

Why choose Amazon CloudFront

• Lower estimated cost for 10 users: Free vs $250/mo
• Higher Integration score (9/10 vs 6/10)
• Higher Customization score (9/10 vs 7/10)

Why choose Modal

• Higher Ease of Use score (8/10 vs 5/10)
• Better fit for startups (9/10 vs 7/10)

A

Amazon CloudFront

Pros

• The network is very large, with more than 750 PoPs plus over 1,140 PoPs embedded inside ISP networks.
• Data transfer from AWS origins such as S3 and EC2 to CloudFront costs nothing, which lowers costs for workloads hosted on AWS.
• Flat-rate plans start at $15 a month with no overage charges, which makes bills predictable.
• It has strong compliance coverage, including PCI-DSS Level 1, HIPAA, SOC, ISO and FedRAMP Moderate.
• Two tiers of edge compute are available: CloudFront Functions at $0.10 per million invocations and Lambda@Edge for heavier code.

Cons

• G2 and Capterra reviewers report complex configuration and a steep learning curve for people new to AWS.
• Capterra-network reviewers rate customer support poorly, around 3.4 out of 5.
• Flat-rate plans lack some features, such as real-time logs, dedicated IP SSL and continuous deployment, and going over the allowance reduces performance.
• Dedicated IP SSL at $600 a month and Anycast Static IPs at $3,000 a month are expensive extras.
• Users on AWS re:Post and GitHub report cache invalidations that occasionally hang for hours or time out during deploys.

Modal

Pros

• GPUs from the T4 up to the B300 are available without quota requests or reservations, and workloads can burst to thousands of containers.
• Per-second billing and scale-to-zero mean idle bursty inference workloads cost nothing.
• Python developers define infrastructure in code and deploy with a single CLI command, with no Kubernetes or Dockerfiles needed.
• The free Starter plan includes $30 a month of compute, and startup and academic credit programs are available.
• Sandboxes support large numbers of concurrent isolated environments for AI agents and untrusted code.

Cons

• Always-on or steady workloads can cost more than reserved GPU rentals from providers such as RunPod or Lambda.
• Containers stay billable for 60 seconds after the last request by default, and keep-warm settings are a common source of bill surprises.
• Region pinning raises prices by 1.15 to 1.75 times, and non-preemptible execution by 3 times.
• SSO, audit logs, and HIPAA support are limited to the custom-priced Enterprise plan.
• Credits from AWS, GCP, or Azure cannot be applied to Modal usage.