Amazon Web Services (AWS) vs Lambda Comparison

Why choose Amazon Web Services (AWS)

• Has a free plan (Lambda does not)
• Higher Integration score (10/10 vs 5/10)
• Higher Analytics score (8/10 vs 4/10)
• Better fit for enterprise (10/10 vs 7/10)
• Better fit for small business (5/10 vs 3/10)

Why choose Lambda

• Higher Ease of Use score (6/10 vs 4/10)
• Higher Cost score (6/10 vs 5/10)

Amazon Web Services (AWS)

Pros

• The service catalogue is unusually broad, with over 200 services across 38 regions, so most infrastructure needs can be met on one platform.
• EC2 has a 99.99% region-level SLA with credits of up to 100%, and instances unavailable for more than six minutes in an hour are not billed for that hour.
• The free plan gives up to $200 in credits, and more than 30 always-free services let new teams experiment at low cost.
• Support scales from a $29 minimum up to dedicated Enterprise and Unified Operations tiers for mission-critical workloads.
• G2 rates it 4.4 across more than 17,000 reviews, and reviewers praise its scalability and global reach.

Cons

• Reviewers widely cite a steep learning curve across the console and services.
• Usage pricing is complex and can produce unexpected bills unless spend is monitored closely.
• Paid support is billed as a percentage of total AWS spend, so support costs rise with usage.
• A July 2025 billing console bug showed customers estimated charges in the billions, which hurt trust in its cost tooling.

Lambda

Pros

• A wide GPU range, from $0.69 per hour V100-class cards to B200, suits both small experiments and large training runs.
• A December 2025 comparison reports no egress or data transfer fees, which helps when moving large datasets in and out.
• Lambda Stack images come with PyTorch, CUDA and drivers preinstalled, so ML engineers can start training soon after launch.
• SemiAnalysis testing found full expected interconnect bandwidth and strong health checks on Slurm clusters.
• Lambda's trust page lists SOC 2 Type II, and a trust portal provides the report and pentest results on request.

Cons

• Popular GPUs often sell out on demand, according to several reviews.
• The new list prices from November 2026 are well above the H100 rates of around $2.99 reported in 2025.
• Kubernetes and Slurm need Lambda engineers to set up, and SemiAnalysis rated the console and onboarding as immature.
• There is no CDN, managed databases, serverless functions or general web hosting, and object storage was still in development.
• Lambda has no official Terraform provider or CLI documented, only community Terraform providers.