With AWS Batch, users package the code for batch jobs, specify dependencies, and submit batch jobs using the AWS Management Console, CLIs, or SDKs. AWS Batch allows users to specify execution parameters and job dependencies, and facilitates integration with a broad range of popular batch computing workflow engines and languages (e.g., Pegasus WMS, Luigi, Nextflow, Metaflow, Apache Airflow, and AWS Step Functions).
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JAMS
Score 8.2 out of 10
N/A
JAMS is a centralized workload automation and job scheduling solution that runs, monitors, and manages jobs and workflows. Reliably orchestrate the critical IT processes that run your business from a single pane of glass.
$9,996
per year
Pricing
AWS Batch
JAMS
Editions & Modules
No answers on this topic
Core
9,996.00
per year
Advanced
Customized Pricing
per year
Offerings
Pricing Offerings
AWS Batch
JAMS
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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- Core: For small teams getting started with automation. Core Integrations: PowerShell, SQL, Azure Data Factory, Python, 20+ others.
- Advanced: Comprehensive solution for large-scale operations. Core Integrations: SAP, JDE, Ellucian Banner, Informatica, Mainframe and Power Systems.
More appropriate if you have a tech group that can use more of the AWS Batch rather than one or 2 things. It works great for me, but there was a huge learning curve the first week of using it. Now, I love it - and I hope to dig deep into other parts not just S3.
It's currently one of the best of the lower entry cost options out there, as it currently is a set license cost, not based on the number of jobs executed. In the hands of a good script writer and users with workflow experience, it's a powerful tool to accomplish just about any process that you have a need to complete.
The Activity Monitor clearly shows the Running Jobs, and Jobs that are to run soon. Successful Jobs can be viewed as well. The Refresh of this monitor is completely customizable to your liking.
Job Definitions are very well organized by use of Folders. This simplifies the structure of how to best Implement JAMS Jobs, including the ability to provide specific properties on each folder - whereby Jobs will inherit these properties.
Connectivity to servers is well thought out by having Shortcuts to include Credentials and Connection Store for server information.
JAMS Jobs can be controlled via System Resources. This is very powerful and is a very useful configuration found in JAMS.
JAMS is a critical resource free up people to do other things and ensuring that processes and tasks are run consistently. We are also confident that procedures are run consistently and on time or as soon as the necessary data is available. With automated job failure notification, we are not required to check that jobs are running correctly.
Key advantages include cost-effectiveness through dynamic resource provisioning and the use of spot instances. It auto-scales to meet workload demands, allowing easy job submission via the AWS Management Console or SDKs. It integrates seamlessly with other services like S3 and CloudWatch. It features automatic retries for failed jobs. It allows for a custom computing environment tailored to specific needs
JAMS is very user friendly; you hardly need to do coding. The only thing that I would say a challenge is setting it up, but that's because you barely know the product yet and, in every processing, setting up is the difficult part. But once you've set it up and you are going to use it, you will really feel that it is worth to invest in this kind of software solution, it really does it job very well.
We didnt really encounter any downtime, no issues encountered during 2 years of use of JAMs also our client barely raise an issue with JAMS, mostly the issues is on the batch jobs that jams executes. So I would gave it a perfect 10, very reliable hardly encounters any error and bug
JAMS performance is very great, there are no issues raised with the performance, it just like nothing happens on the job after integration it gives you this monitoring capability, no reports and bugs raised on the performance, we didnt do integration with other software only database and with use of JAMS agent to different servers
I've never had to wait more than a day for a response to any email queries submitted. We had a very positive experience using support hours during out migration process from v6 to v7. We've also recently had a weeklong group training course where all attendees were positive about the learning outcomes, a shoutout to Jose who did both the migration and the weeklong course!
People that were involved in the POC found the training a lot easier to follow. I think most people would have preferred to just get the training material and run through themselves.
I Was not part of the original Implementation, and the persons did that are no longer with the Organization. But I was part of the recent Upgrade process a year ago and I am the JAMS admin and was very pleased
I had evaluated 2 others in 2010/2011, but I do not remember their names. This was the easier one to work with and had a better looking, sometimes more professional looking UI than what I was evaluating. JAMS was more scaleable and had the ability to make custom interfaces to more systems through Execution Methods that could be tailored.
The product is quite flexible. There are a number of features and functions that we use on a daily basis, and there are many features that are available that we have not yet needed or explored (like setting up jobs with the ability to do FTP or Sftp file transfers).
Using JAMS when working from home (initially COVID, and now permanent) gives me tremendous visibility into the running operations of our business without any loss in productivity for not being in the office.
With JAMS I can more tightly schedule evening batch jobs by running one job after the successful completion of predecessor, as opposed to the CRON like guessing at safe start times.
Central control on a monitored server in a datacenter for all job scheduling tasks has given us 99.9% uptime reliability, instead of herding cats on multiple machines.