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Top 8 Hybrid Cloud Job Schedulers in 2024

Updated on Jun 4
6 min read
Written by
Altay Ataman
Altay Ataman
Altay Ataman
Altay is an industry analyst at AIMultiple. He has background in international political economy, multilateral organizations, development cooperation, global politics, and data analysis.

He has experience working at private and government institutions. Altay discovered his interest for emerging tech after seeing its wide use of area in several sectors and acknowledging its importance for the future.

He received his bachelor's degree in Political Science and Public Administration from Bilkent University and he received his master's degree in International Politics from KU Leuven.

Altay is part of the AIMultiple benchmark team, specializing in dynamic application security testing (DAST) and workload automation. He works closely with fellow AIMultiple industry analysts and the tech team to conduct thorough and precise assessments, ensuring a comprehensive understanding of various technologies and their applications.
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Enterprises need to leverage public and private cloud as well as on-premise and edge systems to address their business’s different data storage and computing needs. AIMultiple presents seven leading hybrid cloud automation solutions, each distinguished by their specific functionalities and benefits.

These tools are integral for managing and automating tasks across diverse cloud environments, catering to the varied requirements of businesses, from small enterprises to large corporations. The 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. 

Top 7 Hybrid Cloud Job Scheduler Comparision

SoftwareRatings*
ActiveBatch4.6 based on 246 reviews
Redwood RunMyJobs4.7 based on 148 reviews
Stonebranch4.5 based on 85 reviews
Nutanix Cloud Manager4.3 based on 31 reviews
CloudBolt Hybrid Cloud Management
4.3 based on 4 reviews
Rackspace Hybrid Cloud4.2 based on 26 reviews
IBM Workload Automation4.2 based on 22 reviews

*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.

How we choose top enterprise job scheduling software

In determining the top 7 job scheduling software for our study, we used these key public criteria:

  • Employee Count: There’s a link between a company’s earnings and its workforce size. Therefore, our attention is on firms with over 100 staff members. We used LinkedIn as a public source.
  • Client Testimonials: We prioritized providers with a track record of success, specifically those that have worked with at least one Fortune 500 company.

The chosen software was evaluated based on these criteria. Note that each software has at least one notable reference, but the total number of references did not influence their ranking, as it’s challenging to quantify such endorsements.

Top 8 Hybrid Cloud Job Schedulers Analyzed

ActiveBatch Workload Automation

ActiveBatch enables the building and automation of workflows without extensive scripting. It optimizes IT operations with advanced scheduling, automation, and real-time monitoring. ActiveBatch also focuses on unified control for simplified compliance, with features like audit trails and access management integrations, allowing businesses to manage jobs more efficiently.

Redwood RunMyJobs

RunMyJobs accelerates full-stack automation with ready-to-deploy integrations and offers end-to-end visibility and control of automated business processes. It enables the automation of processes across various applications and environments, with features like real-time monitoring, predictive SLA notifications, and encryption for security. It also boasts a user-friendly interface and tools for creating new workflows without custom coding​​​​​​​​​​​​​​​​​​.

Stonebranch UAC

Stonebranch Universal Automation Center (UAC) is a modern 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. It facilitates digital transformation initiatives by integrating various IT operations into a centralized, automated system.

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, 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 software solution designed to facilitate the automation and scheduling of business processes. It is a part of IBM’s broader suite of automation tools and is primarily used for automating complex workloadsacross various systems and applications. IBM Workload Automation is available for hybrid cloudenvironments. 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​​.

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.

Frequently Asked Questions (FAQ) about hybrid job schedulers

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 Ataman
Altay is an industry analyst at AIMultiple. He has background in international political economy, multilateral organizations, development cooperation, global politics, and data analysis. He has experience working at private and government institutions. Altay discovered his interest for emerging tech after seeing its wide use of area in several sectors and acknowledging its importance for the future. He received his bachelor's degree in Political Science and Public Administration from Bilkent University and he received his master's degree in International Politics from KU Leuven. Altay is part of the AIMultiple benchmark team, specializing in dynamic application security testing (DAST) and workload automation. He works closely with fellow AIMultiple industry analysts and the tech team to conduct thorough and precise assessments, ensuring a comprehensive understanding of various technologies and their applications.

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