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JAMS Scheduler in 2024: Analysis Based on 190+ Reviews

Fortra’s JAMS scheduler is a popular workload automation tool with good user satisfaction in: 

  • workload processing (score: 9.2),
  • scalability (score: 9.1), and 
  • proactive workflow (score: 8.8) ratings obtained from a B2B review platform.1 

Despite its good ratings on workload automation capabilities, it is also reported that JAMS scheduler’s UI design can be complicated for some users when compared to other solutions. (See Figure 7 and 8).  

In this article, we will discover JAMS scheduler’s workload automation and scheduling features, user evaluations with the advantages and shortcomings and its alternatives.

Review based evaluation of JAMS Scheduler

We selected user reviews from B2B review platforms including G2, PeerSpot, and Capterra to provide insights on JAMS’ scheduling features.

PlatformUser rating out of 5Number of reviews
G24.6148
PeerSpot4.624
Capterra4.619

Table 1: JAMS scheduler user reviews

JAMS Scheduler Advantages

Code-driven automation: Users praise JAMS’ code-driven automation capabilities for reducing the time needed for automating complex scheduling. See Figure 1.

JAMS user review on code-driven automation capabilities
Figure 1: JAMS user review on PeerSpot.2

Centralize job management: When scheduling tasks on multiple applications and operating systems, users find JAMS’ centralize job management useful. See Figure 2.

JAMS user review on centralize job management
Figure 2: JAMS user review on PeerSpot.3

Customer support team: Users find the JAMS support team highly responsive and valuable. See Figure 3.

JAMS user review on customer support.
Figure 3: JAMS user review on Capterra.4

Job failing notifications: JAMS notification feature when a job fails is reported as beneficial. See Figure 4.

JAMS user review on job failing notifications.
Figure 4: JAMS user review on G2.5

Chained job scheduling: Users appreciate JAMS scheduler’s ability to create linked jobs that can be scheduled with a job triggering feature. See Figure 5 and Figure 6.

JAMS user review on creating linked jobs that can be scheduled with a job triggering feature.
Figure 5: JAMS user review on PeerSpot.6
JAMS user review on its ability to sequence jobs.
Figure 6: JAMS user review on PeerSpot.7

JAMS Scheduler Shortcomings

UI improvements: Some users suggest a less complex and more intuitive UI design which would be easier to use for new users. See Figure 7 and Figure 8.

JAMS user review on improvement in UI design.
Figure 7: JAMS user review on PeerSpot.8
JAMS user review on more intuitive UI design.
Figure 8: JAMS user review on Trustradius.9

Key features and capabilities of JAMS Scheduler

Fortra’s JAMS is an enterprise job scheduling and IT automation software that supports various job scheduling processes including batch scheduling, event-based job scheduling, and process automation for different business applications to increase SLAs, optimize IT resources, and minimize IT overhead. 

JAMS enables comprehensive workload automation solutions for diverse industries such as education technologies, consultancy, FinTech, and healthcare services. JAMS also supports native batch jobs, ERP/CRM tools, cloud and big data integrations. 

Some of its key features and capabilities include:

Architecture

JAMS job scheduler includes three elements: clients, engine, and agents:

Clients: Serving as control centers, JAMS clients provide four interfaces: desktop client which works a graphical user interface; web client which combines desktop client with an access to JAMS without any installation; PowerShell module with 80+ PowerShell cmdlets; and .NET Class Library for integration with applications and a REST API.

Scheduling Engines: JAMS scheduling engine manages jobs, checks dependencies, provides load balancing and sends notifications for critical business processes. 

These engines also automate critical workloads and streamlining batch processes, define and provide solutions to job and file dependency issues, run critical jobs, and assist clustered configurations.

Agents enable real-time execution and monitoring of jobs. They also produce logs and run log analytics. Finally, they share reports with scheduling and workload automation engines.

Low-Code automation and job scheduling

Low-code approach in job scheduling automation enables a simpler job creation with drag-and-drop features and can increase control over the process when orchestrating jobs.

With JAMS Automate Workflow Designer, users can manage complex workflows.

Real-time job scheduling dashboards

JAMS job scheduling dashboards can facilitate rapid troubleshooting of various issues, and promote efficiency and reliability in managing IT tasks. It includes:

Primary Process Monitoring Dashboard: Through a dual-panel display, this monitoring dashboard enables an overview of the scheduled jobs while supporting efficient resource allocation.

Job History by Agent: It offers a look at the job completion status summaries across different agents by using pie charts to display the distribution of successful, informational, error, and fatal outcomes. 

It includes a range filter for focusing on job activities within specific timeframes, thus providing a clear and customizable view of agent performance and job outcomes.

JAMS job history by agent example.
Figure 9: JAMS job history by agent example.10

Current Load Balancing: The Current Load Balancing dashboard can provide real-time insights into the workload and resource utilization of each agent. 

It displays the number of jobs, their distribution across queues, and the usage of resources.

PowerShell: With this dashboard, users can gain insights on JAMS client’s performance metrics including disk utilization, CPU usage, and memory statistics. 

Presented in pie charts, gauges, and data tables, it allows PowerShell to translate complex performance data into clear and accessible visualizations.

JAMS PowerShell example
Figure 10: JAMS PowerShell example.11

Workload automation command center

JAMS’ workload automation command center enables users to monitor job relationships, triggers, and dependencies. Users can indicate in-progress jobs, completed jobs, and failed jobs with different colors.

JAMS workload monitoring feature
Figure 11: JAMS workload monitoring feature.12

Event-based job triggers

JAMS event based scheduling and workload automation includes built-in file triggers, status triggers, and variable triggers.

File transfers

With JAMS built-in FTP Execution Method, users can automate various file transfer protocols, such as FTP, FTPS, SFTP, S3, and SCP to minimize risks caused by managing multiple file transfer clients. 

Job and workload reports

JAMS enables its user to create and customize job and workload reports. Users can integrate analytics from job history, auditor trail and job statistics.

JAMS scheduler reporting example.
Figure 12: JAMS scheduler reporting example.13

Integration capabilities

JAMS scheduler supports integrations with multiple platforms including native batch jobs, databases, ERP/CRM and cloud tools including Windows task scheduler, Linux, Microsoft SQL server, Azure SQL, Oracle E-Business suite, and Amazon Lamba.

JAMS Scheduler alternatives

Leading workload automation platforms such as ActiveBatch, Control-M, Redwood RunMyJobs, and Stonebranch are alternative solutions. Here is a comprehensive list of JAMS scheduler alternatives.

Transparency statement

AIMultiple collaborates with leading workload automation vendors including Stonebranch, JAMS scheduler and Redwood RunMyJobs.

Further reading

External resources

Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
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Cem Dilmegani
Principal Analyst

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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