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Head-to-head · Serverless Hosting

AWS Lambda vs IBM Code Engine

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score AWS Lambda #1 in Serverless Hosting 9.4/10 Free plan Free plan✓ 1 of 2 features Visit AWS Lambda
IBM Code Engine #8 in Serverless Hosting 8.7/10 Free plan Free plan✓ 0 of 2 features Try IBM Code Engine

AWS Lambda leads on 0 checks, IBM Code Engine on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAWS Lambda · 9.4/10
  • Free planboth
  • Most featuresAWS Lambda · 1 of 2

AWS Lambda scores higher on our rubric for serverless hosting: 9.4 against 8.7 out of 10; our editors rank them #1 and #8.

AWS Lambda is the better fit for teams needing broad, mature serverless functions. IBM Code Engine is the better fit for teams running varied workloads on IBM Cloud.

  • AWS Lambda fits best

    Teams needing broad, mature serverless functions

  • IBM Code Engine fits best

    Teams running varied workloads on IBM Cloud

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Side by side

Feature AWS Lambda 9.4/10 Visit ↗ IBM Code Engine 8.7/10 Visit ↗
At a glance
Editor score 9.4 8.7
Ranking #1 in Serverless Hosting #8 in Serverless Hosting
Best for Teams needing broad, mature serverless functions Teams running varied workloads on IBM Cloud
Pricing model Free plan + paid Free plan + paid
Starting price $0.20/unit usage-based —
Free plan ✓ ✓
Free trial — —
Deployment Cloud Cloud
Platforms Web Web, Linux, Windows, macOS
Integrations 9 integrations 10 integrations
Features AWS Lambda 1/2 · IBM Code Engine 0/2
Custom domains ✓ (best) Not checked yet
Preview deployments Not checked yet Not checked yet
Specs
Execution model Request_based Not checked yet
Max execution time 900 sec Not checked yet
Deployment methods Not checked yet Not checked yet
Runtime languages Node.js, Python, Java, C# (.NET), Ruby, Go, custom runtimes, and container images Not checked yet
Our review
Pros
  • Scales automatically from zero to peak demand.
  • Supports managed and custom runtimes, ZIP packages, and container images.
  • Connects with AWS services and supports durable multi-step functions.
  • Deploy container images or source code, and build images from source
  • Run applications, event-driven functions, batch jobs and serverless fleets
  • Scale applications automatically, including to zero, and bind IBM Cloud services
Cons
  • Execution duration and other AWS services can add charges.
  • Custom domains require API Gateway rather than Lambda function URLs.
  • Maximum execution time is 900 seconds.
  • Pay-as-you-go charges vary with CPU, memory and HTTP request consumption
  • Workload management relies on IBM Cloud interfaces or Kubernetes-compatible tooling
  • The platform is focused on serverless workloads rather than conventional hosting
Our verdict

AWS Lambda runs functions and applications without requiring teams to provision servers. It is aimed at teams building event-driven workloads, HTTP endpoints, and real-time data processing, especially those working with AWS services. The…

Read the review →

IBM Code Engine is a fully managed serverless platform for teams that want to run containerized applications, source deployments, event-driven functions, batch jobs and parallel serverless fleets without managing cluster infrastructure. It…

Read the review →
  1. AWS LambdaServerless Hosting 9.4Free plan
  2. IBM Code EngineServerless Hosting 8.7Free plan

Strengths and trade-offs

  • AWS Lambda — where it wins

    • Scales automatically from zero to peak demand.
    • Supports managed and custom runtimes, ZIP packages, and container images.
    • Connects with AWS services and supports durable multi-step functions.

    Where it doesn't

    • Execution duration and other AWS services can add charges.
    • Custom domains require API Gateway rather than Lambda function URLs.
    • Maximum execution time is 900 seconds.
  • IBM Code Engine — where it wins

    • Deploy container images or source code, and build images from source
    • Run applications, event-driven functions, batch jobs and serverless fleets
    • Scale applications automatically, including to zero, and bind IBM Cloud services

    Where it doesn't

    • Pay-as-you-go charges vary with CPU, memory and HTTP request consumption
    • Workload management relies on IBM Cloud interfaces or Kubernetes-compatible tooling
    • The platform is focused on serverless workloads rather than conventional hosting

More options

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update