A survey revealed that organizations use open-source products to modernize IT infrastructure and enable digital transformation. Enterprise job schedulers, workload automation, and orchestration tools are among the solutions that are among the enablers of digital transformation benefiting from open-source implementation.
Businesses leverage open-source job schedulers and workload automation tools to access the capabilities of these tools without carrying the barriers of licensing costs and vendor lock-in. In this article, we explore what open-source job schedulers and workload automation tools are, and include a list of the top tools available.
Benefits of open-source job schedulers and workload automation tools
Job schedulers and workload automation (WLA) tools are software businesses use to automatically schedule, execute, and monitor workloads across different business platforms. These tools have numerous use cases in IT, HR, and accounting, including the automation of ETL, FTPs, P&Ls, and data warehousing.
Open source job schedulers and WLA provide users with the source code of the tool, enabling them to:
- modify the code and customize the tools according to business needs
- collaborate with community members to share codes, address bugs, and learn software hacks
- avoid vendor lock-in
List of the top open-source job schedulers and workload automation tools
The following is a sortable list of the top open source job schedulers and WLA tools:
Closed-source enterprise-focused alternatives
If your organization:
- is managing complex, enterprise workloads
- is open to using proprietary software
- has a budget for workload automation
You may consider enterprise job scheduling software which includes closed-source options. This list compares enterprise-grade schedulers such as ActiveBatch. These solutions have been used by many Fortune 500 enterprises and delivered results for high-scale, enterprise workloads.
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|4.6 based on 162 reviews
What to look out for when choosing an open-source job scheduler
Here are a few recommendations to consider while choosing an open source job scheduler and WLA solution:
- Check the tool’s adoption rate: The number of contributors on Github as well as community members that answer user questions indicate the adoption rate of open source tools. The more members in the community, the more assistance you can get if you encounter bugs or require help.
- Check the features of the job scheduler: Most open source job schedulers include features to initiate and execute tasks at the designated time. However, if you will be using the job scheduler or WLA tool to automate sensitive tasks with privileged data, it is important to find a tool that includes monitoring features to generate alerts and audit trails.
- Consider closed source options as well. In terms of functionality or other aspects, you may be able to find a closed source solution that better fits your requirements. For example, here is a list of closed source job schedulers focused on data warehouse automation.
For more on job schedulers and workload automation
To find a tool that fits your business needs, you can start by scrolling through our data-driven list of job schedulers and workload automation tool, and explore our comprehensive hub of automation solutions which you can leverage in your digital transformation journey.
And reach out to us to help you find the right tool:
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month.
Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.
Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.
He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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