The workflow orchestration divide: Temporal vs Step Functions
Comparing Temporal, AWS Step Functions, and Camunda reveals that Temporal offers superior flexibility for developers through code-centric workflows. While Step Functions scales easily, Temporal provides larger 2 MB payloads and can reduce costs by 33% using the StartDelay feature.
Code versus visual logic
Temporal uses a code-centric model where developers write workflows in Go, Java, Python, or TypeScript. This approach allows engineers to use familiar IDE tools and standard testing frameworks like JUnit. AWS Step Functions relies on Amazon States Language to define state machines via JSON or YAML. This requirement often makes complex logic hard to manage. A process that takes 50 lines of JSON might only require 5 lines of Java code in Temporal, since developers utilize a real programming language instead of declarative configuration files.
Step Functions provides a visual designer.
The verbosity of JSON makes refactoring a nightmare.
Camunda uses BPMN.
Engineers building reactive microservices on the JVM often choose Akka. It has the actor model for high concurrency.
AWS Step Functions integrates with over 220 AWS services. This makes it a choice for teams using Lambda, EventBridge, or DynamoDB. Temporal allows more flexibility because it allows you to write any logic in a general-purpose language. Unlike Step Functions, Temporal allows you to update workflows that are already running. Step Functions cannot update a workflow that started in the past. Temporal is the superior choice for engineers who prefer code.
Managing scale and cost
AWS Step Functions charges $0.025 per 1,000 state transitions for standard workflows. This usage-based model makes it easy to start small. However, costs escalate when workflows scale to millions of executions. Step Functions Express workflows have a 5-minute execution limit. Temporal Cloud uses a different billing structure. It has charges for actions, storage, and a monthly plan fee.
| Feature | AWS Step Functions (Standard) | Temporal Cloud (Essentials) |
|---|---|---|
| Pricing Metric | State transitions | Actions and Storage |
| Minimum Monthly Fee | $0.00 | $100 |
| Max Payload | 256 KB | 2 MB |
| Event History Limit | Not specified | 51,200 Events |
The Essentials plan includes 1 million actions and 1 GB of active storage. Background agents that perform many tool calls or frequent heartbeats consume actions quickly. Active storage costs $0.042 per GB-hour for data exceeding the plan allocation. Temporal’s managed service also has a support fee starting at $200 per month.
You can optimize Temporal costs by using the "StartDelay" feature instead of a standard "Sleep" command. This pattern reduces actions per workflow from three to two, which cuts costs by 33% per execution.
Does a visual diagram truly replace the power of typed code?
Deployment and operational control
AWS Step Functions is a fully managed, zero-maintenance environment. It handles capacity and load balancing automatically. This fits teams that want to focus on business logic instead of infrastructure.
Temporal requires you to manage workers on compute you control. You can host these workers on Kubernetes, ECS Fargate, or your own servers. This setup gives you control over scaling and security.
Camunda is a platform for human-in-the-loop processes like insurance claims.
Temporal has features for large scale production. It supports workflow state rollback and allows users to index workflows by custom attributes.
Camunda remains a favorite for regulated industries.
Orkes Conductor uses Redis and Postgres to power its workflows. It has both visual design and code-first workflows.
Akka requires a commercial license for companies with more than $25 million in annual revenue.
Temporal permits a payload of 2 MB for a single request, while Step Functions limits payloads to 256 KB. Temporal history limits involve 51,200 events or 50 MB. Organizations migrating from Step Functions to Temporal on EKS can use a shadow mode to test logic. This involves running Temporal in parallel with Step Functions and sending results to a mock endpoint.
Developers use code.
Step Functions scales.