JobRunr is the ultimate library to perform background processing on the JVM. It performs fire-and-forget, delayed, scheduled and recurring jobs inside Java applications using only Java 8 lambda's. CPU and I/O intensive, long-running and short-running jobs are supported.
It can be used in various use cases like batch processing, image processing, database maintenance, daily maintenance like taking backups, sending out notifications etc. 
Its feature include:
<ul>
<li>Simple: just use Java 8 lambda's to create a background job.</li>
<li>Distributed &amp; cluster-friendly: guarantees execution by single scheduler instance using optimistic locking.</li>
<li>Persistent jobs: using either a RDMBS (four tables and a view) or a noSQL data store.</li>
<li>Embeddable: built to be embedded in existing applications.</li>
</ul>

JobRunr is the ultimate library for background processing in Java.

JobRunr - The ultimate library for background processing in Java.

Trigger.dev is an open source framework for creating long-running Jobs directly in your app with API Integrations, webhooks, scheduling and delays. You can reliably run Jobs that wouldn&rsquo;t normally work in serverless environments because of timeouts.
Trigger.dev is a platform, SDK and API for building and running Jobs in your codebase, triggered by various sources, but without having to worry about managing any complicated orchestration infrastructure. It can help to build event-driven architectures without having to manage any complicated orchestration infrastructure. It provides out-of-the-box Integrations with popular services such as <a href="https://trigger.dev/docs/integrations/apis/slack" target="_blank" rel="noopener">Slack</a>, <a href="https://trigger.dev/docs/integrations/apis/openai" target="_blank" rel="noopener">OpenAI</a>, <a href="https://trigger.dev/docs/integrations/apis/github" target="_blank" rel="noopener">GitHub</a> and <a href="https://trigger.dev/docs/integrations" target="_blank" rel="noopener">more</a>, which vastly simplifies the process interacting with 3rd-party services.
It has few limitations, Currently Trigger.dev is optimized for deployment to serverless functions, but not for long-running servers. It is not well suited for compute intensive jobs as each individual task.&nbsp;

Trigger.dev is the open source background jobs framework for TypeScript. With features like API integrations, webhooks, scheduling and delays. 

Trigger.dev - Background Jobs Framework 

River is a fast and reliable background jobs in Go. River jobs never run before your transaction completes, and are never lost. River supports Transactional enqueueing, This model avoids several common failure modes of background jobs in a distributed application.
One of the biggest benefits of River is that jobs can be enqueued transactionally and atomically along with other database changes. Once a job is committed to the database, River will not lose track of it and will ensure that it is executed. When River jobs encounter an error or other failure, they are automatically retried after a delay.&nbsp;
River supports batch inserts, wherein many jobs are inserted at once using Postgres' COPY FROM protocol for optimal performance. If a worker recognizes that a job will never succeed, it can be cancelled permanently. It also provides an interface to handle errors and panics for custom application telemetry and to provide execution feedback.
Jobs are worked according to assigned priority, important jobs are processed first. Each named queue is processed independently and won't block other queues. It does graceful shutdown, Waits for active jobs to complete before exiting.
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River is a fast and reliable background jobs in Go. River jobs never run before your transaction completes, and are never lost. River supports Transactional enqueueing, This model avoids several common failure modes of background jobs in a distributed application.

River - Fast and reliable background jobs in Go

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