Compare the Top Workload Automation Software that integrates with IBM Cloud as of December 2025

This a list of Workload Automation software that integrates with IBM Cloud. Use the filters on the left to add additional filters for products that have integrations with IBM Cloud. View the products that work with IBM Cloud in the table below.

What is Workload Automation Software for IBM Cloud?

Workload automation software helps organizations streamline and manage repetitive tasks, scheduling and automating workflows across various applications and systems. It enables businesses to automate data processing, batch jobs, and other time-sensitive tasks, reducing the need for manual intervention. By centralizing and orchestrating these tasks, workload automation software improves operational efficiency, reduces errors, and ensures timely completion of critical processes. The software often includes monitoring and alerting capabilities, allowing IT teams to identify and resolve issues proactively. Ultimately, workload automation enhances productivity, optimizes resource utilization, and supports compliance with operational standards. Compare and read user reviews of the best Workload Automation software for IBM Cloud currently available using the table below. This list is updated regularly.

  • 1
    Slurm
    Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), is a free, open-source job scheduler and cluster management system for Linux and Unix-like kernels. It's designed to manage compute jobs on high performance computing (HPC) clusters and high throughput computing (HTC) environments, and is used by many of the world's supercomputers and computer clusters.
    Starting Price: Free
  • 2
    IBM Workload Automation
    IBM® Workload Automation is a solution for batch and real-time hybrid workload management, available for distributed, mainframe or hosted in the cloud. Streamline your workload management with an analytics-fueled solution. Workload Automation 9.5 introduces new features that dramatically improve the way you manage your enterprise workloads and simplify the automation world. Improve decision-making and reduce costs by centralizing management and eliminating manual activities. Enable greater development agility and integration with DevOps toolchain for business and infrastructure agility. Customize workload dashboards and provide autonomy and precise governance to developers and operators. A modern look and feel simplifies real-time, data-driven decisions. Customization is easy with built-in widgets, including monitoring and support for data from any REST API. Use catalogs and services to submit routine business tasks, running and monitoring processes on demand from a mobile device.
  • 3
    BMC AMI Ops Automation for Capping
    BMC AMI Ops Automation for Capping. Automate workload capping to avoid risk and optimize costs. BMC AMI Ops Automation for Capping (formerly Intelligent Capping for zEnterprise) applies automated intelligence to manage business-critical MSU capacity settings to avoid operational risk, optimize costs, and meet the needs of digital demand. Automatically manage capping limits to prioritize workloads and optimize mainframe software license costs which can consume 30-50% of the IT budget. Dynamically automate defined capacity MSU settings to optimize your monthly software costs by 10% or more. Mitigate business risk by analyzing, simulating, and automatically managing changes to defined capacity settings based on workload profile. Align capacity to business demand by ensuring MSUs are allocated to highest priority workloads. Patented technology drives capping adjustments, ensuring the most business-critical services are unaffected.
  • 4
    WEKA

    WEKA

    WEKA

    WEKA provides a high-performance data platform optimized for AI and machine learning, offering scalable solutions for businesses and research labs. With the ability to handle vast amounts of data across on-premises, cloud, and hybrid environments, WEKA accelerates data workflows, enabling faster AI training, inference, and high-performance computing (HPC). The platform features infinite scalability, simplifying data storage, and providing seamless access to data across multiple locations. WEKA's environmentally conscious approach minimizes energy consumption, making it ideal for organizations aiming for both performance and sustainability in AI-driven projects.
  • 5
    IBM Spectrum LSF Suites
    IBM Spectrum LSF Suites is a workload management platform and job scheduler for distributed high-performance computing (HPC). Terraform-based automation to provision and configure resources for an IBM Spectrum LSF-based cluster on IBM Cloud is available. Increase user productivity and hardware use while reducing system management costs with our integrated solution for mission-critical HPC environments. The heterogeneous, highly scalable, and available architecture provides support for traditional high-performance computing and high-throughput workloads. It also works for big data, cognitive, GPU machine learning, and containerized workloads. With dynamic HPC cloud support, IBM Spectrum LSF Suites enables organizations to intelligently use cloud resources based on workload demand, with support for all major cloud providers. Take advantage of advanced workload management, with policy-driven scheduling, including GPU scheduling and dynamic hybrid cloud, to add capacity on demand.
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