Faktory vs Resque
Faktory
contribsys.comResque
resque.github.ioSide by side
| Figure | Faktory | Resque |
|---|---|---|
| Price from | $99/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · Task Queue Software | 8.3 (#5) | 6.7 (#34) |
| Purpose | Faktory is a language-agnostic, persistent background job system. | Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later. |
| Support | The maker lists no dedicated support for OSS and email support for Enterprise. | The Resque organization directs users to the Ruby Users Forum for longer support threads and maintenance coordination, and Discord for live coordination. |
Plans
Faktory
- Faktory OSSFree
- Faktory Enterprise — additional packs$99 a month
- Faktory Enterprise — first pack$299 a month
In their own words
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.