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Workload automation
Updated on Mar 18, 2025

Top 7+ Hybrid Cloud Job Schedulers in 2025

Enterprises need to leverage cloud as well as on-premise systems to address their business’s different data storage and computing needs. When choosing a hybrid cloud job scheduler, users often consider the tools’

  • Integration capabilities in cloud and on-prem.
  • Ease of use and low code.
  • Scalability and deployment capabilities in multiple environments.

AIMultiple presents seven workload automation solutions for cloud automation, each distinguished by their specific functionalities and benefits. Follow the links on the vendors for our rationale.

Last Updated at 03-18-2025
SoftwareRatings*Deployment

4.6 based on 246 reviews

On-prem, public cloud

4.7 based on 148 reviewsOn-prem, public cloud, SaaS

4.5 based on 85 reviewsOn-prem, public cloud, SaaS

4.7 based on 142

On-prem, public cloud

4.3 based on 31 reviewsOn-prem, public-private cloud, SaaS

4.3 based on 4 reviewsOn-prem, public-private cloud

4.2 based on 26 reviewsOn-prem, public-private cloud

4.2 based on 22 reviews

On-prem, public cloud

*Ratings are based on Capterra and G2. The vendors are ranked according to their ratings and reviews except for ActiveBatch and RunMyJobs, as they are sponsors of AIMultiple.

Selection criteria

  • Employee size should be over 100. We used LinkedIn as a public source.
  • All vendors should have at least one reference from a Fortune 500 company. The total number of references did not influence their ranking, as it’s challenging to quantify such endorsements.

Top 7 Hybrid Cloud Job Schedulers Analyzed

ActiveBatch

ActiveBatch offers a job scheduling solution for both on-premises and cloud environments, focusing on user-friendly features. In ActiveBatch, Flow Control Job Steps, like ForEachRow and If‐Branch, control and direct jobs in workflows according to specific conditions and dependencies. Users can easily add a Flow Control Job Step to the workflow by dragging and dropping it into the desired position.

ActiveBatch supports command-line operations, allowing the incorporation of existing automation from open-source job schedulers into the ActiveBatch platform. Additionally, it features an API creation tool known as the Super REST API adapter. It allows you to make AWS API calls using the AWS signature.

See a comprehensive review of ActiveBatch.

RunMyJobs by Redwood

RunMyJobs is a vendor-managed SaaS product that ensures users receive automatic updates. A free trial is available upon request. It manages workloads on S/4HANA or BTP through its built-in integrations, enabling users to automate tasks without needing extra software or modifications to their core SAP setup.

RunMyJobs delivers an automated and easy-to-set-up load balancing approach configurable in a cloud-based environment. Additionally, it offers SAP-certified integrations with RISE and SAP S/4HANA Cloud.

Stonebranch UAC

Stonebranch Universal Automation Center (UAC) is an IT automation platform designed to orchestrate and automate cross-platform IT tasks and workflows in real-time across hybrid IT environments, including on-premises, cloud, and multi-cloud systems. Users can access the Stonebranch Integration Hub to take advantage of community-contributed integration templates. Stonebranch also has native connectors for SAP services such as SAP S/4HANA.

Fortra’s JAMS

Fortra’s JAMS is a job scheduling solution built on the .NET framework, featuring seamless PowerShell integration with over 50 cmdlets for job management, maintenance, and administration via the command line.

It is compatible with multiple platforms, including Windows, UNIX, Linux, and IBM, and integrates with widely used applications like SQL Server, Oracle, and SAP.

JAMS centralizes job management, enabling users to monitor, control, and audit workflows across different systems. It also supports high availability, load balancing, and comprehensive logging for efficient troubleshooting, making it an ideal choice for complex IT environments.

Nutanix Cloud Manager

Nutanix is distinguished for combining public and private clouds, offering a hyper-converged infrastructure that simplifies cloud management. Its Prism interface enhances the management of cloud resources. Nutanix integrates with a range of enterprise applications and major public cloud platforms, making it a versatile option​​.

CloudBolt Hybrid Cloud Management

CloudBolt excels in automated provisioning and streamlining cloud setup processes. It offers orchestration and automation capabilities, allowing deployment and management of IT resources across different environments.

Its resource discovery feature, which ensures synchronization across platforms and compatibility with various cloud providers and ITSM tools, makes it a strong choice​​.

Rackspace Hybrid Cloud

This software is notable for its multi-cloud expertise, providing comprehensive management tools and services.

Rackspace offers Fanatical Support for round-the-clock assistance and has extensive integrations with leading cloud platforms, databases, web services, and application services​​.

IBM Workload Automation

IBM Workload Automation is a part of IBM’s broader suite of automation tools and is primarily used for automating complex workloads across various systems and applications. IBM Workload Automation is available for hybrid cloud environments. This compatibility is particularly significant as it allows organizations to leverage the benefits of both on-premises and cloud resources.

Embotics Snow Software

Embotics is renowned for its unified cloud management. It stands out for integrating and simplifying operations across multiple cloud platforms, offering a user-friendly, fully managed service catalog and IT self-service options. It is especially effective in multi-cloud management and automation, featuring extensive integrations with major cloud providers and IT operations tools​​.

What are Hybrid Cloud Job Schedulers?

Cloud and Hybrid cloud job schedulers are integral for managing and automating tasks across diverse cloud environments, catering to the varied requirements of businesses, from small enterprises to large corporations. They are tools or systems designed to manage and allocate computing resources across both private (on-premises) and public cloud environments.

Our selection is geared towards providing comprehensive insights into the capabilities of each software, aiding in informed decision-making for businesses seeking to optimize their cloud-based operations and infrastructure. 

Benefits of Hybrid Cloud Automation

Automation is the key to efficiently managing complex hybrid cloud environments. Here are some reasons why automation is essential in this context:

1. Resource optimization:

In a hybrid cloud setup, resources need to be allocated and de-allocated dynamically based on workload demands. Automation ensures that resources are provisioned and de-provisioned efficiently, minimizing wastage and reducing costs.

2. Scalability:

Hybrid clouds are designed to scale resources up or down rapidly. Automation enables automatic scaling based on predefined rules, ensuring that applications can handle varying workloads without manual intervention.

3. Cost reduction:

By automating routine tasks like resource provisioning, backup scheduling, and security compliance checks, organizations can reduce labor costs and optimize cloud spending.

4. Improved reliability:

Automation helps in error reduction by eliminating manual configuration mistakes. It also facilitates disaster recovery and failover procedures, ensuring high availability and business continuity.

5. Security and Compliance:

Automated security protocols and compliance checks can be consistently applied across the hybrid cloud infrastructure, reducing the risk of vulnerabilities and ensuring adherence to industry regulations.

Key Components of Hybrid Cloud Automation

To achieve effective hybrid cloud automation, several key components need to be in place:

1. Orchestration:

Orchestration tools help streamline and automate complex workflows involving multiple systems and processes. They enable the coordination of various tasks, such as provisioning virtual machines, configuring networks, and deploying applications.

2. Cloud management platform (CMP):

A CMP is a software solution that provides a unified interface for managing resources across both private and public clouds. It helps organizations gain visibility into their hybrid environment and control resource allocation.

3. Infrastructure as Code (IaC):

IaC allows organizations to define and manage infrastructure through code, enabling automation of resource provisioning and configuration. Tools like Terraform and Ansible are widely used for IaC in hybrid cloud environments.

4. Monitoring and analytics:

Continuous monitoring and analytics tools are essential for managing jobs tracking the performance and health of hybrid cloud resources. These tools and data pipelines can trigger automated responses to issues, ensuring optimal resource utilization.

5. Security and compliance automation:

Automating security practices and compliance checks is critical to maintaining a secure hybrid cloud environment. This includes automating tasks like vulnerability scanning, patch management, and access control.

Hybrid Cloud Job Schedulers FAQ

What is a hybrid job scheduler?

A hybrid job scheduler is a system that combines the capabilities of both traditional batch job schedulers and modern task schedulers to create job one. It facilitates the scheduling and execution of various types of jobs, including batch processing, real-time tasks, and event-driven jobs, in a unified manner.

How does a hybrid job scheduler differ from traditional schedulers?

Traditional schedulers primarily focus on batch processing, executing tasks at predetermined intervals or times. In contrast, hybrid schedulers are more versatile, accommodating various job types, such big data jobs such as real-time tasks and event-driven jobs, alongside traditional batch processing.

How does a hybrid job scheduler handle different job types?

Hybrid job schedulers leverage a combination of scheduling algorithms and policies to manage various job types effectively. For example, batch jobs may be scheduled based on predefined schedules or dependencies, while real-time tasks and event-driven jobs are executed in response to triggering events or conditions.

Can a hybrid job scheduler integrate with existing IT infrastructure?

Yes, most hybrid job schedulers are designed to integrate seamlessly with existing IT infrastructure, including on-premises and cloud environments. They often provide connectors or APIs for interoperability of cloud scheduler and with other systems, such as workload automation tools, orchestration platforms, and monitoring solutions.

Is there a learning curve associated with adopting a hybrid job scheduler?

While there may be a learning curve for administrators and users transitioning from traditional schedulers to hybrid ones, many hybrid schedulers offer intuitive interfaces and comprehensive documentation to facilitate the adoption process. Additionally, vendor-provided training and support resources can help organizations quickly ramp up their proficiency with the hybrid or cloud scheduler.

How does a hybrid job scheduler ensure reliability and fault tolerance?

Hybrid job schedulers typically incorporate features such as job monitoring, automatic recovery mechanisms, and fault tolerance strategies to ensure reliable job execution. They may also support high-availability configurations and distributed architectures to minimize single points of failure and maximize system resilience.

Can hybrid cloud job schedulers integrate with Google Cloud?

Yes, hybrid cloud job schedulers can integrate with any cloud run on the Google Cloud platform. Hybrid cloud job schedulers are designed to manage and automate workloads across different cloud environments, including on-premises infrastructure and multiple cloud platforms like Google Cloud, AWS, and Azure.

How can a hybrid job scheduler contribute to business agility and innovation?

By enabling organizations to efficiently manage complex workloads and adapt to changing business requirements, a hybrid job scheduler can facilitate business agility and innovation. It allows businesses to scale operations, leverage emerging technologies, and accelerate time-to-market for new products and services.

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Altay is an industry analyst at AIMultiple. He has background in international political economy, multilateral organizations, development cooperation, global politics, and data analysis.

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