Comparison

Updated October 25, 2026

· ~2 min read

AWS Step Functions vs Temporal vs Argo Workflows: Orchestration in 2026

Step Functions
Temporal
Argo Workflows
Orchestration
Durable execution

Every system eventually needs a workflow that survives failures: an order that waits days for payment, a data pipeline with retries, a long-running AI agent that must resume after a crash. Three approaches dominate on AWS. Step Functions defines workflows as state machines and runs them as a service. Temporal lets you write them as ordinary code (durable execution, where the workflow's state survives process crashes) and runs either on your own cluster or as Temporal Cloud. Argo Workflows runs each step as a container on Kubernetes and is popular for data and ML pipelines.

Step Functions Standard costs $0.025 per 1,000 state transitions after a free 4,000 a month; Express costs $1.00 per million requests plus duration.

At a glance

Step Functions

Temporal

Argo Workflows

Programming model

State machine (JSON/YAML or visual editor), with JSONata

Code — Go, Java, TypeScript, Python, .NET and more

YAML DAGs of containers

Runs on

AWS service

Your cluster, or Temporal Cloud

Your Kubernetes cluster

Price

$0.025 per 1,000 transitions (Standard); $1/M requests + duration (Express)

Infrastructure, or Temporal Cloud pricing

Cluster compute

Long waits

Up to a year (Standard)

Indefinitely

Limited by cluster and controller

AWS integrations

Direct calls to most AWS APIs

Through your code and SDKs

Through containers

Testing and versioning

Test state API, aliases and versions

Unit tests, replay testing, worker versioning

Template versions

Licence

—

MIT

Apache 2.0 (CNCF graduated, as part of Argo)

Cost at scale

Step Functions Standard is cheap until a workflow does many small steps at high volume: a ten-step workflow run a million times a month is ten million transitions, about $250. Express Workflows are far cheaper for high-volume, short workflows. Temporal's costs are your cluster and database or Temporal Cloud's actions-based pricing; Argo's are the containers each step runs. The usual mistake is a chatty Standard workflow — loops of tiny steps — that would cost a tenth as much as Express or as one Lambda doing the loop.

Which should you use?

Question 1 of 2

Is the workflow mostly calls to AWS services?

Our verdict

Use Step Functions for AWS-centric orchestration — calling Lambda, ECS tasks, Bedrock and dozens of AWS APIs directly with retries and error handling, and nothing to run. Use Temporal when workflows are complex enough that you want them as code with tests, versioning and local debugging — long-running business processes and AI agent loops fit it especially well — choosing Temporal Cloud unless you have a reason to run the cluster. Use Argo Workflows for container-per-step batch, data and ML pipelines on a Kubernetes cluster you already run.

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As of October 25, 2026. Provided as is, for general information, and accurate to the best of our knowledge on the date shown. Not legal, compliance, tax, financial or other professional advice. Prices, limits and vendor services change; check current vendor documentation before relying on anything here. Terms of use.