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Comparison · Infra & APIs

AWS vs Hatchet

A side-by-side editorial comparison of AWS and Hatchet — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:serverless

AWS vs Hatchet: at a glance

FeatureAWSHatchet
SectorInfra & APIs, DevOpsInfra & APIs
Velocity score6.36.3
Sparks · 30d00
Top themesai-agents, serverless, workspaces, observabilitydurable execution, serverless, task queues, rate limiting
Last editorial update5mo ago15h ago
WebsiteVisit →Visit →

What is AWS?

AWS hands AI agents a key to the legacy desktop while modernizing the serverless toolbelt.

AWS is shipping its usual broad May cadence — most of the entries are incremental capability extensions (SAM gains BuildKit and WebSockets, ElastiCache adds 13 CloudWatch diagnostics, MQ enables in-place RabbitMQ 4 upgrades, EKS gets a managed Instance Store CSI driver). The standout is WorkSpaces opening a preview that lets AI agents drive desktop applications inside managed WorkSpaces environments, framed explicitly as the 'last-mile' for AI agents reaching mainframes, ERP, and proprietary tools without modern APIs.

Read the full AWS trajectory →

What is Hatchet?

Hatchet takes durable tasks serverless, with handlers for Cloudflare Workers, Vercel and Node.

Hatchet's new @hatchet-dev/serverless 0.1.0 runs tasks on Cloudflare Workers, Vercel and Node. An in-engine operator delivers them by signed POST or by an invocation websocket that also carries durable sleeps, waits and child runs. Around it, the engine shipped three patches in a day: DAG replays no longer take an advisory lock, worker shutdown now waits for durable tasks, and status queries use partition pruning. The API now declares 429 with Retry-After on every authenticated call.

Read the full Hatchet trajectory →

AWS vs Hatchet: editorial side-by-side

AWS logo
AWS
INFRA · APISDEVOPS
6.3

AWS hands AI agents a key to the legacy desktop while modernizing the serverless toolbelt.

◆ Current state

AWS is shipping its usual broad May cadence — most of the entries are incremental capability extensions (SAM gains BuildKit and WebSockets, ElastiCache adds 13 CloudWatch diagnostics, MQ enables in-place RabbitMQ 4 upgrades, EKS gets a managed Instance Store CSI driver). The standout is WorkSpaces opening a preview that lets AI agents drive desktop applications inside managed WorkSpaces environments, framed explicitly as the 'last-mile' for AI agents reaching mainframes, ERP, and proprietary tools without modern APIs.

◆ Where it's heading

Two arcs are visible. First, AWS is positioning itself as the connective layer for enterprise AI agents — WorkSpaces for desktop apps, Amazon Quick + MCP for observability, integrations across legacy estates. Second, the serverless tooling story (SAM, Lambda container images, API Gateway) is finally catching up to how production teams already build, with BuildKit and WebSockets closing real gaps.

◆ Prediction

Expect WorkSpaces' agent-operable preview to add managed evaluation and audit primitives next, since enterprises won't put agents on top of ERP without traceable execution. On the serverless side, look for SAM to extend toward more first-class support for HTTP API constructs and tighter Lambda + container image authoring loops.

H
Hatchet
INFRA · APIS
6.3

Hatchet takes durable tasks serverless, with handlers for Cloudflare Workers, Vercel and Node.

◆ Current state

Hatchet's new @hatchet-dev/serverless 0.1.0 runs tasks on Cloudflare Workers, Vercel and Node. An in-engine operator delivers them by signed POST or by an invocation websocket that also carries durable sleeps, waits and child runs. Around it, the engine shipped three patches in a day: DAG replays no longer take an advisory lock, worker shutdown now waits for durable tasks, and status queries use partition pruning. The API now declares 429 with Retry-After on every authenticated call.

◆ Where it's heading

Until now, running Hatchet meant running long-lived workers. The serverless package removes that requirement, so durable execution can run where JavaScript teams already deploy. The engine work points the same way: rate limits declared in the spec, safer worker acks, cheaper status queries. Patch cadence is still very high, often several engine tags a day, and much of it fixes durable-task edge cases.

◆ Prediction

Expect quick 0.1.x serverless releases as early users hit edge cases on each platform, and possibly matching Python handlers. More engine patches on durable-task shutdown and replay are likely.

Alternatives to AWS and Hatchet

Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either AWS or Hatchet.

See all AWS alternatives → · See all Hatchet alternatives →

Recent activity from AWS and Hatchet

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 21h agoHatchetHatchet v0.115.0: contributor list update, no product notes
  2. 22h agoHatchetHatchet v0.114.15 fixes migration deadlocks
  3. 1d agoHatchetHatchet v0.114.14 builds its own continuous aggregates
  4. 1d agoHatchetHatchet v0.114.13 quiets noisy DAG operator errors
  5. 1d agoHatchetPython SDK 1.43.2 parses 429 rate-limit errors
  6. 1d agoHatchetHatchet v0.114.12 adds a Concurrency dashboard page
  7. 5mo agoAWSAWS Elemental MediaTailor now provides automatic secure server-to-server integration with Google's ad platforms
  8. 5mo agoAWSAWS SAM CLI adds BuildKit support for AWS Lambda functions packaged as container images
  9. 5mo agoAWSAWS SAM now supports WebSocket APIs for Amazon API Gateway
  10. 5mo agoAWSAmazon ElastiCache adds thirteen new Amazon CloudWatch metrics for network capacity planning and engine diagnostics
  11. 5mo agoAWSAmazon WorkSpaces now lets AI agents operate desktop applications (Preview) ⚡
  12. 5mo agoAWSAWS IoT Core for Device Location adds Confidence Level Configuration and Measurement Type support

Frequently asked questions

What is the difference between AWS and Hatchet?

Both compete on the same themes — serverless — within Infra & APIs. AWS and Hatchet are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is AWS better than Hatchet?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. AWS and Hatchet are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to AWS?

Top AWS alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "AWS alternatives" section above for the current picks, or visit /alternatives/aws for the full list with editorial commentary on each.

What are the best alternatives to Hatchet?

Top Hatchet alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Hatchet alternatives" section above for the current picks, or visit /alternatives/hatchet for the full list with editorial commentary on each.