Best Job Scheduler Software for ActiveBatch Workload Automation
View:
Compare the Top Job Scheduler Software that integrates with ActiveBatch Workload Automation as of October 2025
Sort By:
This a list of Job Scheduler software that integrates with ActiveBatch Workload Automation. Use the filters on the left to add additional filters for products that have integrations with ActiveBatch Workload Automation. View the products that work with ActiveBatch Workload Automation in the table below.
What is Job Scheduler Software for ActiveBatch Workload Automation?
Job schedulers, also known as enterprise job scheduling software, are software tools that enable organizations and IT professionals to schedule automated IT and DevOps processes, tasks, and batch jobs to run automatically without a human needed to manually run the job. Job schedulers are useful for automating jobs and processes in order to save time and resources. Compare and read user reviews of the best Job Scheduler software for ActiveBatch Workload Automation currently available using the table below. This list is updated regularly.
-
1
RunMyJobs by Redwood
RunMyJobs by Redwood
RunMyJobs by Redwood is the #1 and only enterprise workload automation solution that's SAP Endorsed, achieving premium certification and the highest SAP verification for outstanding customer value. With a guaranteed 99.95% uptime and 24/7 support, you can automate end-to-end processes in complex environments reliably, on-prem or in the cloud. SAP customers can keep a clean core and ensures no process disruptions during multiphase RISE migrations with seamless integration with S/4HANA, BTP, ECC and 1,000+ pre-built SAP templates and connectors. Enjoy unparalleled freedom to connect to unlimited servers, applications, and environments, from modern SaaS solutions to legacy systems. Build automations faster with a low-code, drag-and-drop visual editor and an extensive library of templates. Monitor every process from a single pane of glass with real-time visibility. Receive early warnings and configure alerts of potential issues to address them before they impact operations. -
2
Apache Hadoop YARN
Apache Software Foundation
The fundamental idea of YARN is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM). An application is either a single job or a DAG of jobs. The ResourceManager and the NodeManager form the data-computation framework. The ResourceManager is the ultimate authority that arbitrates resources among all the applications in the system. The NodeManager is the per-machine framework agent who is responsible for containers, monitoring their resource usage (cpu, memory, disk, network) and reporting the same to the ResourceManager/Scheduler. The per-application ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks.
- Previous
- You're on page 1
- Next