Normalized comparison

Azure Functions vs AWS Lambda Limits

Azure's execution maximum depends heavily on hosting plan, but HTTP responses still face a shorter load-balancer cap; Lambda uses a 15-minute invocation ceiling.

Verified Aug 22, 2026Azure FunctionsAWS Lambda
Values are comparable only within the scope shown. Runtime, plan, model, invocation mode, and account-specific capacity can change the effective result.

Quick comparison

CriterionAzure FunctionsAWS LambdaComparability note
Function executionAzure FunctionsConsumption: 5m default, 10m max; other plans: 30m default, unbounded max with caveatsHosting-plan specificMicrosoftAWS Lambda900 seconds (15 minutes)A function-level configuration ceiling; the configured timeout may be lower.Amazon Web ServicesAzure can be unbounded on some plans with caveats, while Consumption is much shorter.
Synchronous HTTP waitAzure Functions230 secondsHTTP-triggered functionsMicrosoftAWS Lambda900 seconds (15 minutes)A function-level configuration ceiling; the configured timeout may be lower.Amazon Web ServicesAzure's 230-second value is a front-door response cap; Lambda integrations can add their own timeouts.

Which is best for your requirement?

Choose Azure Functions when

Its documented function execution scope fits your measured workload and the caveats shown in the comparison.

Choose AWS Lambda when

Its documented execution or account model better matches the exact requirement rather than a vendor-wide headline.

Validate before migration

Test payload, duration, throughput, concurrency, failure behavior, billing scope, and recovery with representative traffic.

Validate the decision with your workload

Before choosing between Azure Functions and AWS Lambda, reproduce the comparison with the exact plans, models, regions, runtimes, and invocation paths you intend to operate. The reviewed rows cover function execution and synchronous http wait; they do not turn different pricing, reliability, developer experience, or ecosystem tradeoffs into one universal score.

  1. Capture representative request sizes, token usage, duration, concurrency, storage, and failure behavior at realistic percentiles.
  2. Test the boundary and the recovery path on both candidates, including throttling, timeouts, partial failure, retries, and cost controls.
  3. Record which scoped observation drove the choice and recheck its official source before migration or a major traffic increase.

Official sources

Related

Inspect the underlying limits