Delayed Job vs Faktory
Delayed Job
github.com
Faktory
contribsys.comSide by side
| Figure | Delayed Job | Faktory |
|---|---|---|
| Price from | Free | $99/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Task Queue Software | 7.6 (#26) | 8.3 (#5) |
| Purpose | Delayed::Job is a database-backed priority queue for running longer tasks asynchronously in the background. | Faktory is a language-agnostic, persistent background job system. |
| Support | The README points users to a Google Groups mailing list and Stack Overflow for help. | The maker lists no dedicated support for OSS and email support for Enterprise. |
Plans
Faktory
- Faktory OSSFree
- Faktory Enterprise — additional packs$99 a month
- Faktory Enterprise — first pack$299 a month
In their own words
Delayed Job
Delayed Job has no write-up on Specifiction yet; its figures are above.
Faktory
Faktory is a persistent background job system that works across programming languages. It includes a responsive web interface for viewing and managing jobs, and uses Redis as a child process for local storage, persisting data to its configured directory. The maker lists worker bindings for Node/JavaScript, Ruby, Go, Python, PHP, Elixir, Rust, Swift, Crystal, Haskell, Java/JVM,.NET, and Clojure. Linux RPM and DEB packages, macOS Homebrew installation, and a Docker image are documented. Faktory supports TLS for worker and HTTP ports, with clients authenticated by a configured global password. The OSS edition is free under AGPL and has no dedicated support. Enterprise features include cron jobs, unique and expiring jobs, Redis Gateway, StatsD metrics, queue throttling, batches or workflows, and job status. Enterprise production use requires a valid license and is limited to purchased connections: the first pack is $299 a month for 100 connections, and each additional pack is $99 a month for 100 connections. Faktory does not provide clustered high availability; persistence and failover rely on Redis replication.