JobRunr
Java development tools
Application development software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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€850 per production cluster per month
Free TrialFree version
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What is JobRunr
JobRunr is a Java library for scheduling and processing background jobs in JVM applications. It targets Java developers who need reliable asynchronous processing, delayed jobs, and recurring tasks without operating a separate job-processing service. The product integrates with common Java frameworks and persists jobs in a database, providing a built-in dashboard for monitoring and managing job execution.
Database-backed job persistence
JobRunr stores job definitions and execution state in a supported database, which helps jobs survive application restarts and enables retry behavior. This approach fits teams that prefer using existing database infrastructure rather than introducing a separate queueing system. It also supports distributed processing by allowing multiple workers to pull from the same persisted job store.
Built-in monitoring dashboard
JobRunr includes a web dashboard for viewing job queues, execution history, failures, and retries. This reduces the need to build custom operational tooling for common job-management tasks. For teams that lack dedicated operations tooling, the dashboard can simplify day-to-day troubleshooting.
Developer-friendly Java API
JobRunr provides a Java-centric API for enqueuing background work, scheduling delayed jobs, and defining recurring jobs. It is designed to be embedded into application code and configured through typical Java application configuration patterns. This can shorten implementation time compared with lower-level scheduling libraries that require more boilerplate around persistence, clustering, and monitoring.
Not a general message broker
JobRunr focuses on background job execution and scheduling rather than acting as a full event streaming or messaging platform. Organizations needing pub/sub semantics, complex routing, or cross-language consumers may still require separate messaging infrastructure. This can lead to a two-system setup when both job processing and eventing are required.
Database load and tuning
Because jobs are persisted and polled from a database, performance and cost depend on database capacity and tuning. High-throughput workloads may require careful indexing, retention policies, and scaling strategies to avoid contention. Teams may need to monitor database growth and adjust job history retention to manage storage.
Feature depth varies by edition
Some advanced capabilities (for example, certain operational or enterprise controls) may be available only in paid tiers depending on the licensing model. This can affect total cost and may limit adoption for teams that require specific governance or scale features. Buyers should validate which features are included in the edition they plan to deploy.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| OSS | Free | Free always; LGPL 3.0 license; up to ~100 recurring jobs (DB dependent); simple dashboard; enqueueing & scheduling; automatic retry handling; community support (Stack Overflow, GitHub). |
| Business | €850 per production (PRD) cluster per month | Everything in OSS plus: up to 5,000 recurring jobs; enhanced dashboard; transaction plugin; priority queues; workflow management (batches & chaining); realtime scheduling; priority email / helpdesk support. |
| Enterprise | Custom pricing | Everything in Business plus: unlimited recurring jobs; unlimited clusters & microservices; multicluster dashboard; Kubernetes autoscaling metrics; 1 panic button / year; custom procurement support; priority feature requests. |
Seller details
JobRunr
Belgium
2020
Private
https://www.jobrunr.io/
https://x.com/jobrunr
https://www.linkedin.com/company/jobrunr
