AppWorx Workload Automation and JAMS are competitive players in the workload automation market. JAMS seems to have the upper hand due to its flexible scheduling capabilities and cost-effective pricing.
Features: AppWorx Workload Automation focuses on simplicity and reliability, with recent enhancements that support multiple environments and manage complex job streams efficiently. It offers error-handling and AI integration. JAMS provides advanced scheduling, natural language selection, and robust exception handling. It offers flexibility with various scripting, built-in metrics, and extensive execution methods, handling interactive tasks and maintaining job sequences effectively.
Room for Improvement: AppWorx Workload Automation struggles with no mainframe support, dependency on third-party support, and rising licensing costs. It needs better Active Directory integration and enhancements in reporting and forecasting. JAMS could improve its search functionality, user interface, and documentation. A web-based client option and better global search capabilities would benefit users.
Ease of Deployment and Customer Service: AppWorx offers deployment across hybrid and on-premise environments, with public cloud instances in use. Its technical support, often handled by third parties, receives mixed reviews. JAMS provides diverse on-premise and cloud deployment options, praised for its vendor support despite some lacking documentation, with historically customer-friendly pricing and straightforward support experience.
Pricing and ROI: AppWorx Workload Automation's increasing licensing costs have led some users to seek alternatives, though it provides a solid ROI through efficient workload management. JAMS is more affordable with lower ongoing costs, offering unlimited licensing models that enhance scalability. Its competitive pricing helps achieve a strong ROI, providing cost-effective automation solutions that improve operational efficiency.
It has significantly reduced the time required for tasks that were previously manual, such as running batch and online jobs and report submissions.
The product manages workloads efficiently, allowing our operators to learn and operate it quickly, which underscores its value to our business.
Their current support level is really good.
Technical support is managed by third parties now, which complicates direct customer assistance from Broadcom.
They are very quick to respond depending on the issue's severity.
Their response is prompt, exemplifying how support should be.
We might be underutilizing it, but as more jobs require processing, additional servers would be necessary.
We have not faced any real issues, and it’s the main reason why we haven't enabled a lot of the redundancy features.
We experience periods of major incidents annually due to capacity constraints, which result in job failures.
Being on the new version, there's been zero downtime.
AppWorx Workload Automation does not support mainframe environments.
Licensing fees have increased as they charge based on executions rather than user agents, causing higher costs.
Another area for improvement would be the addition of source control for jobs internally, as this feature would solve several problems for me.
A major improvement would be the integration of AI to help us accomplish various tasks.
Licensing now depends on execution counts as opposed to agent counts, leading to increased costs.
The licensing is fair and reasonable for what the product offers.
The price is fair considering the functionality and importance of the tool, although the increase did unsettle our management.
It has great error-handling capabilities and can perform actions like opening tickets for support teams.
Atomic Applications Manager is user-friendly and accommodates around 100 users who can monitor and run their jobs effectively.
This efficient feature has been invaluable, enabling us to streamline our workflow and enhance productivity.
The most valuable feature of JAMS is its user-friendly interface, especially after upgrading from version six to seven.
AppWorx Workload Automation automates your Ellucian’s Banner or Fiserv DNA processing. This innovative, best-in-class task scheduling solution accelerates your processing, provides visibility and control over business processes, and mitigates risk in both environments.
AppWorx Workload Automation Can:
Benefits of AppWorx Workload Automation For Your Ellucian’s Banner
Benefits of AppWorx Workload Automation For Your Fiserv DNA Processing
Reviews from Real Users
“The most valuable feature for me is the scheduling,” says an enterprise application architect at a retailer who has been using the solution for close to 10 years.
A manager at a tech services company adds that “The interface is good. The compliance-related features are very good.”
JAMS offers efficient automation and scheduling with strong capabilities in planning, dependency management, and multi-platform support. Its intuitive interface and robust tools assist in managing complex workflows for enhanced resource allocation.
JAMS stands out for its blend of automation and scheduling capabilities, making it suitable for handling complex workflows across platforms. Its features such as batch scheduling, natural language scheduling, and interactive agents promote seamless integration with other tools like PowerShell. The focus on metrics and notifications ensures users are informed about operational efficiency enhancements. While JAMS is effective in many areas, users report a need for improved simulation for termination processes and a more intuitive client setup. They see potential in enhanced search functions, better exception handling, and greater transparency in custom execution. The current setup challenges like disappearing options and mobile accessibility can affect user satisfaction. Including a fully web-based client and improving documentation could add value.
What are JAMS' key features?Organizations using JAMS for workflow and batch job automation leverage its capabilities for SSIS, SQL procedures, and Python scripts. JAMS supports file automation and managed file transfers across environments like AWS and Azure. Users employ JAMS for data management, reporting, and integration tasks, including handling holiday-aware scheduling for improved task coordination.
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