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Home/Categories/DevOps & CI/CD/Temporal
icon of Temporal

Temporal

Open source alternative to AWS Step Functions, Camunda Platform and Orkes

  • 23.9K stars
  • MIT
  • Active this week
  • Last commit 1 day ago

Last verified Oct 20, 2026

Orchestrate durable workflows across distributed services with Temporal, an MIT-licensed open source platform you can self-host or run through Temporal Cloud.

Visit websiteGitHub23.9K stars1-click deploy on Hostinger
image of Temporal
TL;DR

Temporal is an open source durable execution platform for services, jobs, and workflows that must survive failures. It replaces ad hoc queues, cron jobs, and managed workflow engines like AWS Step Functions when engineering teams need code-first orchestration with full retry and state tracking.

Read the full breakdownHide the full breakdownWho it is for, how it works, trade-offs and the FAQ
who it's for

Who Temporal is for#

Backend teams orchestrating payment or fulfillment flows

Temporal tracks each step of a multi-service process and retries failed activities without losing the workflow state.

Skip if:

Skip if your process is a single short request that can finish inside one service transaction.

Platform teams replacing brittle job chains

Use Temporal to consolidate cron jobs, queues, and manual retry scripts into versioned workflows with visible histories.

Skip if:

Skip if your team cannot operate the server and does not want a managed workflow service.

the problem

The problem it solves#

Long-running business processes are hard to build with only queues, cron jobs, and database status flags. Payment retries, order fulfillment, onboarding steps, and data pipelines can fail halfway through, leaving engineers to reconstruct state from logs and custom tables.

Managed workflow products reduce some pain but can lock teams into vendor-specific definitions, pricing, and operational limits. Engineering teams need workflows that behave like normal code while preserving state through crashes, deploys, and network failures.

how Temporal solves it

How it solves it#

Durable workflow execution

Runs workflows that preserve progress across worker crashes, retries, and restarts, so business processes can continue from the last recorded event.

Code-first SDKs

Developers write workflows in familiar languages instead of modeling every step in a cloud console or YAML-only workflow definition.

Workers and task queues

Separates workflow state from worker execution, letting teams scale workers independently for CPU-heavy, IO-heavy, or service-specific tasks.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Failure handling is built into the modelRetries, timeouts, activity history, and deterministic replay are core Temporal concepts, reducing the amount of custom orchestration code teams maintain.
  • Open source server with managed optionTeams can run Temporal themselves or use Temporal Cloud, which makes adoption possible before committing to an operations model.

Trade-offs

  • -Requires workflow design disciplineTemporal asks teams to learn deterministic workflow rules, activity boundaries, and worker operations. Small jobs may be simpler with a queue or cron task.
versus alternatives

Temporal vs alternatives#

Temporal vs AWS Step Functions

Temporal and AWS Step Functions both coordinate multi-step work, but they use different operating models. Temporal is a code-first open source platform; Step Functions is a managed AWS service built around state machines.

Temporal is the better choice when teams want portable workflow logic, local development, and control over execution infrastructure. Step Functions is still better when the workload lives entirely inside AWS and the team wants AWS to own the workflow runtime.

tech stack · detected from GitHub

What it's built on#

Languages
Go
frequently asked

FAQ#

Is Temporal open source?

Yes. Temporal Server is open source under the MIT license.

What is Temporal used for?

Temporal is used for durable execution of long-running workflows such as payments, provisioning, onboarding, data pipelines, and background jobs.

How does Temporal compare to AWS Step Functions?

Temporal lets developers define workflows in application code and run the open source server themselves. AWS Step Functions is a managed AWS service with state machines defined for the AWS platform.

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Hostinger

Run Temporal on your own server

Hostinger sets Temporal up as a one-click app on a VPS.

Deploy on Hostinger

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