


AppWorx Workload Automation and Astro by Astronomer are competing in the automation solutions category. Astro by Astronomer appears to have an upper hand in feature richness, which holds long-term value.
Features: AppWorx Workload Automation features robust scheduling, resource optimization, and integration with various enterprise systems. Astro by Astronomer offers sophisticated data pipeline orchestration, modern workflows, and advanced analytics integration.
Ease of Deployment and Customer Service: AppWorx Workload Automation provides traditional on-premise deployment facilitating stability and controlled environment support. Astro by Astronomer, with its cloud-native approach, ensures flexibility and scalability. AppWorx includes extensive post-deployment support, whereas Astro focuses on proactive customer engagement and faster problem resolution.
Pricing and ROI: AppWorx Workload Automation involves higher initial setup costs but offers cost-effective automation solutions enhancing ROI over time. Astro by Astronomer provides a flexible pricing model that delivers quick scalability and reduced operational costs, leading to a faster ROI realization.
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.
I am still working with the same number of employees, but the deliverables, quality, and development lifecycle have become shorter.
The return on investment has been remarkable, with savings exceeding seventy-five percent compared to previous manual cron job management.
Now, currently, after Astro by Astronomer, we could manage it for probably one thousand five hundred to one thousand eight hundred dollars per month.
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 have some SLA agreements, and more than 95 percent of the time, I have seen those SLAs get met.
We use Airflow connections variables or have integrated with a secret manager like Azure Key Vault to securely manage credentials.
Additionally, we have a bi-weekly call with the Astro by Astronomer product team where they guide us to the new features.
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.
The scalability of Astro by Astronomer is good and quite easy, and it is maintained as a service by the Astronomer team.
We do not have to worry about selecting the right worker size, and it is quite scalable.
Since it is a managed Airflow platform, it can scale its underlying worker nodes to support more concurrent DAGs and tasks without requiring us to manually manage infrastructure.
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.
When we migrated to Astro by Astronomer, those were some of the challenges that we had to overcome.
In my experience, we did not face any major outages caused by Astro by Astronomer itself.
In my experience, Astro by Astronomer has been stable, especially with the recent version, which has resolved issues that were present in earlier versions.
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.
I think Astro by Astronomer could improve its pricing, as it is really expensive, especially if you want to have large use in a large-scale enterprise edition, which requires you to create a VPC hosted instance that significantly increases expenses.
The infrastructure is simpler without Kubernetes dependency.
If I had to think of one area where I see potential for improvement, it would be integration with infrastructure virtualized services like vCenter, Hyper-V, and storage systems like Hitachi and IBM FlashSystem.
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.
I think it would be beneficial if pricing were more flexible based on organizational workloads and offered dynamic pricing options.
Astro by Astronomer seems to have zero downtime, which used to be around 40 minutes when doing an MWAA deployment.
I have no issues with Astro by Astronomer regarding setup costs or security capabilities.
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.
I value the scalability because my tasks have more than 500 jobs running, and automatic scaling handles increased workloads without requiring manual infrastructure changes.
The migration capabilities save huge amounts of time and effort. This will not be a small win; it will be a massive win.
I have seen improvements in response times and error reduction since using Astro by Astronomer.
| Product | Mindshare (%) |
|---|---|
| JAMS | 3.1% |
| Astro by Astronomer | 1.4% |
| AppWorx Workload Automation | 2.5% |
| Other | 93.0% |

| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 14 |
| Large Enterprise | 23 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 5 |
| Large Enterprise | 24 |
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.
Astro by Astronomer is a cutting-edge data orchestration platform designed to simplify and streamline data workflows. It enhances productivity by transforming complex tasks into manageable processes, offering robust solutions for modern data engineering challenges.
Astro by Astronomer empowers users with a comprehensive suite for managing and orchestrating data pipelines. It stands out for its scalable infrastructure and seamless integrations, enabling organizations to efficiently process and analyze data with ease. With robust task automation, it minimizes manual intervention and boosts efficiency. Its intuitive architecture supports agile development, facilitating rapid deployment and time-to-market advantages.
What are the essential features of Astro by Astronomer?In industries like finance and healthcare, Astro by Astronomer has been pivotal in ensuring data accuracy and compliance. Financial firms rely on its automation capabilities for real-time analytics, while healthcare organizations utilize it for seamless data integration, enhancing patient care and research outcomes.
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