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AWS Lambda vs Cloudflare Workers 2026

AWS Lambda is a general-purpose serverless compute platform with broader AWS ecosystem integration and higher per-invocation pricing, while Cloudflare Workers is an edge-first platform with sub-millisecond latency and a simpler pricing model based on CPU time rather than invocations.

AWS Lambda

AWS Lambda

Serverless compute service that runs code in response to events within AWS infrastructure.

Enterprise teams building complex serverless architectures, data processing pipelines, backend APIs requiring AWS service integration, and workloads needing extended execution time.

Score71%
VS
CW

Cloudflare Workers

Lightweight edge computing platform running JavaScript/TypeScript on Cloudflare's global network with sub-millisecond latency.

Developers building high-performance APIs, content delivery optimization, A/B testing middleware, rate limiting, request transformation, and globally distributed applications prioritizing latency.

Score63%

Quick Answer

AI Summary

AWS Lambda is a general-purpose serverless compute platform with broader AWS ecosystem integration and higher per-invocation pricing, while Cloudflare Workers is an edge-first platform with sub-millisecond latency and a simpler pricing model based on CPU time rather than invocations.

Our Verdict

AI-assisted

Choose AWS Lambda if you need long-running functions (up to 15 minutes), require broad language support, work extensively with other AWS services, or need massive memory allocation for data processing tasks. Choose Cloudflare Workers if you prioritize sub-millisecond latency, global edge execution, simple pricing, content delivery optimization, or need a lightweight platform for APIs and middleware.

Community feedback

Was this verdict helpful?

AWS Lambda
7.9/10
Cloudflare Workers
7.1/10
C
AWS Lambda

Choose AWS Lambda if

Best pick

Enterprise teams building complex serverless architectures, data processing pipelines, backend APIs requiring AWS service integration, and workloads needing extended execution time.

C

Choose Cloudflare Workers if

Developers building high-performance APIs, content delivery optimization, A/B testing middleware, rate limiting, request transformation, and globally distributed applications prioritizing latency.

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Key Differences at a Glance

  • Execution Location:Cloudflare Workers wins(Edge locations (275+ data centers worldwide) vs Regional data centers (15+ AWS regions globally))
  • Cold Start Latency:Cloudflare Workers wins(<1ms typical vs 100-300ms typical)
  • Pricing Model:$0.20 per 1M requests + $0.0000166667 per GB-second vs $0.50 per 1M requests + $12.50 per 1M CPU milliseconds
See all 7 differences

Key Facts & Figures

25 numeric metrics compared

MetricAWS LambdaCloudflare WorkersRatio
Average Cold Start(milliseconds)300ms<1ms
Maximum Execution Time(seconds)90030
Global Edge Locations(number)30+ regions275+ cities
Free Tier Compute(requests/month)1,000,000100,000
Supported Languages(count)7 languages2 (JS/TS, WASM)
Typical API Response Latency(milliseconds)100-150ms20-40ms
Concurrent Execution Limit(number)1,000 (default, adjustable)Unlimited
Cold Start Latency(milliseconds)100-300ms<1ms
Per-Request Cost (Beyond Free Tier)(USD per 1M requests)$0.20$0.50
Global Edge Locations(number of locations)15+ AWS regions275+ edge locations
Language Runtime Support(count)12+ languages4 languages (JS/TS, Rust, C++, Python via WASM)
AWS Service Integration Points(count)200+ AWS services30+ external APIs via fetch
Maximum Execution Duration(seconds)900 seconds30 seconds
Global Data Centers(regions)Regional (6-12 per region)300+ edge locations
Free Tier Requests Monthly(millions)1M requests10M requests
Cost per Million Requests(USD)$0.20 (compute only, excluding data transfer)$0.50 (all-inclusive)
Maximum Memory Allocation(MB)10,240MB128MB
Supported Languages (Native)(languages)7 native (Node.js, Python, Java, Go, .NET, Ruby, C++)1 native (JavaScript/TypeScript)
Typical Request Latency at User(milliseconds)50-200 ms (regional routing)5-50 ms (edge routing)
Maximum Execution Time(seconds)900 seconds30 seconds
Memory Allocation(megabytes)128MB to 10,240MB50MB fixed
Global Data Center Coverage(locations)30+ AWS regions275+ edge locations
Free Tier Requests Per Month(requests)1,000,000500,000
Cost Per 10M Requests + 1GB Compute(USD)$18.33 ($2 + $16.33 compute)$2.50
Supported Programming Languages(languages)12 (Node.js, Python, Java, Go, Rust, C#, Ruby, PHP, Kotlin, PowerShell, Custom Runtime)4 (JavaScript, TypeScript, Rust, Go)

Sourced from publicly available data ·

Key Differences

7 attributes compared head-to-head

AWS Lambda
3AWS Lambda
Evenly matched1 tie
CW
3Cloudflare Workers
  • Execution Location

    AWS Lambda

    Regional data centers (15+ AWS regions globally)

    Cloudflare Workers

    Edge locations (275+ data centers worldwide)(winner)

  • Cold Start Latency

    AWS Lambda

    100-300ms typical

    Cloudflare Workers

    <1ms typical(winner)

  • Pricing Model

    AWS Lambda

    $0.20 per 1M requests + $0.0000166667 per GB-second

    Cloudflare Workers

    $0.50 per 1M requests + $12.50 per 1M CPU milliseconds

  • Free Tier Monthly Allowance

    AWS Lambda

    1M requests + 400,000 GB-seconds

    Cloudflare Workers

    10M requests + 10M CPU milliseconds(winner)

  • Maximum Execution Duration

    AWS Lambda

    15 minutes (900 seconds)(winner)

    Cloudflare Workers

    30 seconds

  • Memory Configuration Range

    AWS Lambda

    128MB to 10,240MB (10.24GB)(winner)

    Cloudflare Workers

    50MB to 128MB fixed

  • Language Support

    AWS Lambda

    12+ languages (Node.js, Python, Java, Go, C#, Ruby, PHP, Rust, Kotlin, Swift, Gradle, PowerShell)(winner)

    Cloudflare Workers

    JavaScript/TypeScript, Rust, C++, Python (via WASM)

Full Comparison

AWS Lambda
CCloudflare Workers
Average Cold Start(milliseconds)
300ms
<1ms
Typical API Response Latency(milliseconds)
100-150ms
20-40ms
Cold Start Latency(milliseconds)
100-300ms
<1ms
Typical Request Latency at User(milliseconds)
50-200 ms (regional routing)
5-50 ms (edge routing)
Maximum Execution Time(seconds)
900
30
Global Edge Locations(number)
30+ regions
275+ cities
Global Edge Locations(number of locations)
15+ AWS regions
275+ edge locations
Global Data Centers(regions)
Regional (6-12 per region)
300+ edge locations
Free Tier Compute(requests/month)
1,000,000
100,000
Per-Request Cost (Beyond Free Tier)(USD per 1M requests)
$0.20
$0.50
Free Tier Requests Monthly(millions)
1M requests
10M requests
Cost per Million Requests(USD)
$0.20 (compute only, excluding data transfer)
$0.50 (all-inclusive)
Free Tier Requests Per Month(requests)
1,000,000
500,000
Show 1 more attribute
Cost Per 10M Requests + 1GB Compute(USD)
$18.33 ($2 + $16.33 compute)
$2.50
Supported Languages(count)
7 languages
2 (JS/TS, WASM)
Memory Range(MB)
128-10,240MB
50MB fixed
Memory Allocation(megabytes)
128MB to 10,240MB
50MB fixed
Concurrent Execution Limit(number)
1,000 (default, adjustable)
Unlimited
Language Runtime Support(count)
12+ languages
4 languages (JS/TS, Rust, C++, Python via WASM)
AWS Service Integration Points(count)
200+ AWS services
30+ external APIs via fetch
Database Integration Complexity(native integrations)
200+ AWS services (RDS, DynamoDB, S3, SNS, SQS)
Limited (D1 SQLite, KV, manual integrations)
Maximum Execution Duration(seconds)
900 seconds
30 seconds
Maximum Memory Allocation(MB)
10,240MB
128MB
Maximum Execution Time(seconds)
900 seconds
30 seconds
Supported Languages (Native)(languages)
7 native (Node.js, Python, Java, Go, .NET, Ruby, C++)
1 native (JavaScript/TypeScript)
Global Data Center Coverage(locations)
30+ AWS regions
275+ edge locations
Supported Programming Languages(languages)
12 (Node.js, Python, Java, Go, Rust, C#, Ruby, PHP, Kotlin, PowerShell, Custom Runtime)
4 (JavaScript, TypeScript, Rust, Go)

Pros & Cons

10 pros·5 cons across both

AWS Lambda
CW
AWS Lambda

AWS Lambda

+5-2

Pros

  • Supports 12+ programming languages including Python, Java, Go, C#, Ruby, and Rust
  • 15-minute maximum execution time enables batch processing and long-running workloads
  • Up to 10.24GB RAM allocation supports memory-intensive applications like ML inference
  • Deep integration with 200+ AWS services (S3, DynamoDB, SNS, SQS, API Gateway, CloudWatch)
  • Extensive monitoring via CloudWatch with custom metrics and detailed logs

Cons

  • Cold start latency of 100-300ms makes it unsuitable for ultra-low-latency applications
  • Pricing based on both request count and GB-seconds can become expensive at scale (100M+ monthly invocations)
CW

Cloudflare Workers

+5-3

Pros

  • Sub-millisecond cold start with execution on 275+ edge locations worldwide
  • Generous free tier: 10M requests and 10M CPU milliseconds monthly (vs Lambda's 1M requests)
  • Simpler pricing based on CPU milliseconds rather than invocations, more predictable for variable traffic
  • Built-in DDoS protection, WAF, and global CDN integration for content delivery
  • Immediate global deployment without regional configuration selection

Cons

  • 30-second maximum execution limit prevents batch processing and long-running tasks
  • Limited to 128MB memory maximum, unsuitable for memory-intensive workloads or large dataset processing
  • Smaller ecosystem with fewer third-party integrations compared to AWS Lambda

Frequently Asked Questions

5 questions

  1. It depends on traffic patterns. Lambda costs $0.20 per 1M requests ($20) plus compute time. At 100M requests with 256MB memory and 100ms average execution, that's approximately $20 + $1,667 = $1,687/month. Cloudflare Workers costs $0.50 per 1M requests ($50) plus $12.50 per 1M CPU milliseconds. At 100M requests × 50ms average = 5B CPU milliseconds = $62.50, totaling $112.50/month. Workers is significantly cheaper for this scenario due to lower compute pricing, but Lambda wins if you need variable memory allocation (up to 10GB) or execution longer than 30 seconds.

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