# Reliable data processing: Queues and Workflows

DevFeed: [Reliable data processing: Queues and Workflows](<https://devfeed.tech/articles/reliable-data-processing-queues-and-workflows-35946.md>)

Original publisher: [Read original article](<https://temporal.io/blog/reliable-data-processing-queues-workflows>)

Author: Angela Zhou

Published: 2025-01-22T00:00:00Z

Content type: article

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [data-processing](<https://devfeed.tech/topics/data-processing.md>), [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>)

Tags: [challenges](<https://devfeed.tech/tags/challenges.md>), [data-processing](<https://devfeed.tech/tags/data-processing.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [queues](<https://devfeed.tech/tags/queues.md>), [temporal-concepts](<https://devfeed.tech/tags/temporal-concepts.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

## AI overview

This article explains how persistent queues store and forward messages reliably in distributed systems, including their benefits, limitations, and implementation patterns. It also describes how Temporal uses Durable Execution and Workflows to continue execution through outages, crashes, and hardware failures.

## Source excerpt

Learn the ins and outs of persistent queues including what they are, how they work, the challenges, and the benefits.