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Enterprise Layer Intelligence
Categories/Developer Tools/Temporal
Temporal

Temporal

Founded by Samar Abbas & Maxim Fateev in 2019

Execute durable background workflows and manage distributed application state without failure

Pricing model

Free Trial

Rating

★ People love it

Time to value

Moderate Setup (1–3 hours)

You can use Temporal to build reliable distributed applications by writing your business logic as code. It handles automatic retries, state persistence, timeouts, and rollbacks whenever external services or networks fail. Instead of manually maintaining complex state machines or queues, you write workflows and activities in languages like TypeScript, Go, Python, or Java. If a server crashes or an API goes down, your code resumes execution from the exact step where it stopped, keeping long-running processes reliable.

What Temporal does

Write durable workflows in standard programming languagesConfigure automated retries for flaky third-party APIsPersist distributed state across long-running operationsInspect execution history and debug failed task activitiesManage distributed transaction rollbacks using sagasCoordinate asynchronous tasks across microservicesAutomatic recovery and state persistence across failuresCode-first workflow definitions using standard programming languagesBuilt-in activity retries with configurable backoff policiesSupport for long-running processes spanning months without data lossDeterministic execution tracking and detailed event history replayNative saga pattern support for compensating transactionsFlexible deployment via self-hosted open-source or managed cloud

Pricing breakdown

Pricing model: Free trial

PlanList price
Pay-As-You-Go (per million actions)$50 / mo

Tutorials & Demos

Frequently asked

AWSAWSOpenAIOpenAICursorCursorReplitReplitSalesforceSalesforce

Used by

Adrien Wald

Adrien Wald

CEO @ Coloop

In their stack
Connect
Manuel Parra

Manuel Parra

Software Engineer @ Stack

In their stack

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Temporal, durable execution, workflow orchestration, distributed systems, state management, microservices, task queues, automatic retries, saga pattern, cloud orchestration, open source