


Find out what your peers are saying about BMC, Broadcom, JAMS Software and others in Workload Automation.
The design of JAMS makes it very easy to copy jobs and make minimal changes while ensuring functionality.
The cost has definitely gone up tremendously.
It saved IT time by 50%.
The product manages workloads efficiently, allowing our operators to learn and operate it quickly, which underscores its value to our business.
It has significantly reduced the time required for tasks that were previously manual, such as running batch and online jobs and report submissions.
By using Spot by Flexera across a year, we were able to save more than 500,000 euros.
Our technology predicts demand, selects the cheapest instance mix, sizes the workloads appropriately, and scales it automatically based on policy, resulting in significant savings by reducing manual work and enhancing our flexibility, which has helped accelerate our deployments.
I cannot share the exact number, but I can share the figure that my EC2 and EKS compute cost reduced by around 65 to 75% with Spot.
Their response is prompt, exemplifying how support should be.
They are very quick to respond depending on the issue's severity.
We contacted JAMS vendor, who guided us through the necessary steps, and after following their guidance, everything was resolved.
Their current support level is really good.
Technical support is managed by third parties now, which complicates direct customer assistance from Broadcom.
I would rate the customer support a nine out of ten.
We did not have to use it many times, but the few times that we did use it, it was very fast and very useful.
Those are situations where it has helped us to just say that we don't really care in which tech stack that we are in, whether it's latest or not, but the forward as well as the backward compatibility has been of great help.
We might be underutilizing it, but as more jobs require processing, additional servers would be necessary.
JAMS's scalability is noteworthy; we run 6,000 jobs per day without facing any problems.
It is also a very easy tool to connect to different data sources and different servers since it is open source.
Spot's scalability is quite good, and it can be expanded to multiple environments.
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.
When the servers are under high load, it can take more than one day sometimes.
We have not faced any real issues, and it’s the main reason why we haven't enabled a lot of the redundancy features.
In Spot by Flexera, we could see both computers, the old and the new one, but the system was not recognizing that the old one was no longer being used.
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.
If around 5,000 or more jobs run at a time, JAMS slows down, and we have to wait around five to 10 minutes or restart JAMS scheduler services.
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.
Continuously making advancements based on customer feedback.
Spot could be improved by adding features that help identify data to optimize storage costs by detecting datasets within our environment based on criteria such as age and usage.
More guided onboarding would help teams adopt advanced features faster.
The price is fair considering the functionality and importance of the tool, although the increase did unsettle our management.
My thoughts on the pricing of JAMS are that I won't say it is cheap, but it is cost-efficient, and that should be acceptable.
The pricing and licensing were fair.
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 pricing is reasonable and convenient, and the value it offers is completely in line with what I am spending.
I was aware of different pricing, setup costs, and licensing across the company.
JAMS has positively impacted my organization by completely removing the headache of scheduling jobs, not just for the organization but for all internal operations teams need.
JAMS helps centralize the management of jobs on all of my platforms and applications, which has helped my organization significantly.
By using JAMS, we have gained a lot more efficiencies in terms of all of those to streamline it, and there is no necessary need for having an overnight engineer just keeping an eye on all of this.
AppWorx Workload Automation's simplicity and powerful functionality are its most valuable features for us.
Atomic Applications Manager is user-friendly and accommodates around 100 users who can monitor and run their jobs effectively.
Spot's automated cost optimization works by continuously analyzing the workload and applying policies to minimize cloud spend without sacrificing performance.
The fact that it can mix dozens of instance families dynamically is something which the AWS native autoscalers simply cannot do.
Spot helps us detect such changes within AWS at least one hour prior, allowing us to have a mitigation plan in place and host other servers within the same setup to avoid impacting the application.
| Product | Mindshare (%) |
|---|---|
| AppWorx Workload Automation | 2.4% |
| Control-M | 11.2% |
| AutoSys Workload Automation | 6.7% |
| Other | 79.7% |
| Product | Mindshare (%) |
|---|---|
| Spot by Flexera | 17.5% |
| IBM Turbonomic | 24.1% |
| Densify | 17.4% |
| Other | 41.0% |


| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 14 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 6 |
JAMS is an automation orchestration and job scheduling solution that runs, monitors, and manages critical IT processes from a single console, from simple batch jobs to complex, cross-platform workflows. JAMS automates jobs across Windows, Linux, UNIX, IBM i, z/OS, and OpenVMS, with native integrations for the databases, BI tools, and ERP systems already running your business, including SQL Server and SAP. Jobs run on any schedule or trigger off other events, and dependency management keeps multi-step workflows in the right order.
Every job is centrally monitored, with notifications on success or failure and an audit trail of every execution. Built-in conversion tools migrate existing jobs from Windows Task Scheduler, SQL Agent, or Cron without rebuilding them, and JAMS replaces homegrown, single-platform scripts with one centrally managed system.
JAMS includes two AI capabilities at no additional cost. JAX is an AI agent built into the JAMS Web Client. Ask it a question in plain language, and it finds a job, troubleshoots a failure, or looks up how to do something, grounded in JAMS documentation, not general AI guesswork. It acts only when asked, and every change waits for your approval. JAMS MCP brings JAMS into the AI coding tools teams already use, including Cursor, Claude Code, GitHub Copilot, and Claude Desktop.
Both run inside the customer's network with the signed-in user's permissions and no elevated AI account, and every action, AI-driven or not, lands in the same audit trail as everything else in JAMS.
For teams managing thousands of jobs across SQL Server, ADF, Airflow, SAP, JDE, and Banner, this cuts tribal knowledge and middle-of-the-night troubleshooting. Knowledge that once lived in one person's head becomes something any team member can ask about directly.
The AI lives in the product, not in the support queue. Support is staffed by humans JAMS will never outsource, based in the United States, the United Kingdom, and Australia. New tickets go to long-tenured engineers, and every JAMS customer has the CEO's cell phone number.
JAMS' mission is to reduce the operational burden of critical automation, so teams spend more time on the work automation was meant to free them for.
AppWorx Workload Automation streamlines process automation across Windows, AWS, and Azure platforms. It offers dynamic task handling and efficient scheduling, accommodating various applications and teams with high availability.
AppWorx Workload Automation is an object-based workload automation tool that optimizes job scheduling for complex processes. Users benefit from its robust functionality and seamless process automation, even in cloud environments. Despite its outdated interface, lack of mainframe support, and complex internal security model, it effectively supports electronic automations in retail and higher education. Integration challenges with Active Directory and third-party license negotiations may affect its usability. Users seek improvements in scalability, API features, and artificial intelligence enhancements. Timeout issues and a complex setup process are other concerns.
What are the key features of AppWorx Workload Automation?In retail and higher education, AppWorx Workload Automation excels in scheduling applications, batch processing, and automating roles like password and fund management. It plays a crucial role in monitoring revenue-based jobs and managing unique servers within cloud infrastructures.
Spot by Flexera provides automated cost optimization and container management with multi-cloud integration, achieving up to 70% savings and greater efficiency. It adapts to demand changes using AI-driven insights.
Spot enables organizations to optimize cloud infrastructure in environments such as Kubernetes, AKS, EKS, and AWS. It offers advanced automation features for managing resources, leading to reduced overhead and increased production output. Spot's intelligent autoscaling and node replacement capabilities enhance scalability and reliability. While the platform lacks some granularity in EKS Kubernetes insights, it remains stable and mature, helping organizations minimize costs and improve resource utilization. Opportunities for improvement include OCI support, more detailed multi-cloud integrations, and enhanced Kubernetes insights.
What features does Spot by Flexera offer?In industries heavily reliant on cloud-based services, Spot by Flexera is crucial for optimizing resource management and cost efficiency. Organizations leveraging Spot in sectors like technology and finance benefit from real-time optimization techniques and improved governance processes.
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