Amazon CloudFront vs Beam (2026): Pricing, Features & Verdict

A

Why choose Amazon CloudFront

• Has a free plan (Beam does not)
• Lower estimated cost for 10 users: Free vs $89/mo
• Higher Integration score (9/10 vs 5/10)
• Higher Reliability score (9/10 vs 6/10)
• Better fit for enterprise (8/10 vs 5/10)

Why choose Beam

• Higher Ease of Use score (8/10 vs 5/10)
• Higher Cost score (7/10 vs 6/10)

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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.

Beam

Pros

• Billing is per second, or per millisecond for sandboxes, with no egress fees and no compute charge while VMs are stopped. Storage was not yet billed at the time of research.
• Beta9, the core runtime, is open source under AGPL-3.0, so teams can self-host it or add their own hardware using the same CLI across cloud, on-prem and hybrid setups.
• Agent-focused sandboxes start in about half a second and can be paused, snapshotted, forked and given a GPU. Paused VMs resume with RAM and processes intact.
• GetDeploying's comparison found Beam's H100, H200, B200, L40S, RTX PRO 6000 and A6000 machine prices cheaper than Runpod's.
• Beam publishes a SOC 2 Type II report, and GetDeploying lists GDPR coverage through a DPA and HIPAA availability on the enterprise tier.

Cons

• Beam lists 10 GPU models, compared with 34 on Runpod in GetDeploying's comparison, and Runpod is cheaper on A100 and RTX 4090.
• In GetDeploying's comparison, a medium always-on VM (4 vCPU, 8 GB) cost about $289 a month on Beam versus about $86 on Runpod.
• Beam does not publish a list of data center regions, so buyers with residency needs must ask sales.
• The entry Developer plan is capped at 1 seat and 5 concurrent GPUs, and live chat support starts only on the $89 Team plan.
• Independent user reviews are scarce, and the vendor is very small (YC lists a team of 5), which may concern buyers who need long-term support guarantees.