


Automic Automation and Astro by Astronomer are competing in the automation space. Automic Automation has an upper hand for its comprehensive support and competitive pricing, whereas Astro by Astronomer provides a robust feature set, justifying its investment value.
Features: Automic Automation offers extensive automation capabilities, broad system integration, and powerful orchestration tools. Astro by Astronomer provides simplified workflow automation, flexible architecture, and strong task scheduling and monitoring.
Ease of Deployment and Customer Service: Automic Automation supports traditional on-prem and hybrid deployment and offers a robust support system for troubleshooting and maintenance. Astro by Astronomer provides a cloud-centric deployment that reduces infrastructure needs and features accessible customer service.
Pricing and ROI: Automic Automation is budget-friendly with lower initial setup costs and flexible pricing for clear ROI. Astro by Astronomer, with higher initial costs, offers scalable infrastructure leading to long-term savings in cloud environments.
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%.
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.
Automic Automation has helped reduce workload failure rates by fifty percent.
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.
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.
They react quickly when it is urgent.
They are highly knowledgeable in their product area and very easy to work with.
If you put the tickets in for which you need help right away, they get back to you right away.
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 have small clients running a thousand tasks per day and big enterprises running one million or two million tasks per day.
The solution effectively supports our existing user base and is equipped to scale further.
It does not perform real-time scalability in our environment, but because of the way we have built it, it can scale well past any thresholds with no issues.
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.
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.
The stability of the solution is excellent.
In a well-tuned environment, it runs very smoothly.
So far, I have not encountered any issues related to instability such as lagging, crashing, or downtime.
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.
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.
It does not work as well for activities that require real-time input/output, but it works very well for batch, ETL, or similar cases.
Pricing is a major issue for some clients due to changes in Broadcom's pricing model, causing some to seek alternative solutions.
A feature that provides a dependency chart or tree diagram would be very helpful.
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.
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.
Broadcom decided to change the way of licensing by moving to the number of jobs runs and then they say that clients have to pay three million because they run one million jobs per day.
Due to the increased pricing, some of them are thinking of reducing tasks in Automic to have fewer executions.
The pricing has been increasing significantly over the years, raising operational costs instead of reducing them.
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.
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.
A standout feature is the comprehensive versioning, allowing easy rollback to previous states.
Designing workflows is made easier by the graphical user interface, simplifying complex tasks.
It supports high availability by operating multiple servers concurrently, which means users do not experience outages or the need to log in again, even if some servers are updated.
| Product | Mindshare (%) |
|---|---|
| Automic Automation | 5.2% |
| JAMS | 3.1% |
| Astro by Astronomer | 1.4% |
| Other | 90.3% |

| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 14 |
| Large Enterprise | 23 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 5 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 19 |
| Midsize Enterprise | 14 |
| Large Enterprise | 67 |
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.
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.
Automic Automation offers a web-based GUI for high scalability and flexibility, integrating with platforms like SAP and Oracle. It promotes efficient process automation and supports multiple OS environments, benefiting diverse industries with its robust predictive capabilities.
Automic Automation facilitates process automation and workload management, providing valuable integration with applications like SAP and Oracle. It supports a wide range of operating systems and environments, enabling seamless workflow automation. It features a web-based interface accessible across devices, ensuring scalability and flexibility for complex job automation. Users find its predictive capabilities and platform support instrumental in enhancing operations, although improvements are noted in reporting, cloud integration, and documentation. Licensing and pricing structures also present room for optimization, along with workflow dependency management and smoother upgrade paths.
What are the key features of Automic Automation?
What benefits and ROI should users expect from Automic Automation?
Automic Automation sees implementation in industries like banking, finance, and telecommunications, where it automates ERP systems, schedules batch jobs, integrates workloads, and manages file transfers. By supporting SAP, Oracle, and ETL tasks, it aids efficiency and workload automation across varied environments including cloud and mainframe systems.
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