Amazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
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JAMS
Score 9.1 out of 10
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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
Amazon SageMaker
JAMS
Editions & Modules
No answers on this topic
Core
9,996.00
per year
Advanced
Customized Pricing
per year
Offerings
Pricing Offerings
Amazon SageMaker
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.
It allows for one-click processes and for things to be auto checked before they are moved through the process but through the system. It also makes training easy. I am able to train users on the basic fundamentals of the tool and how it is used very easily as it is fully managed on its own which is incredible.
There's probably better schedulers out there. JAMS is good for an on-premises/classic IT implementation. JAMS is well-suited for use cases such as collecting a file from a shared location and uploading it to an API, running scripts on servers, and handling middleware tasks that process files or data between handoffs across different locations. JAMS is best suited to environments with IT staff who can develop, test, implement, maintain, and troubleshoot scripts; it does not use natural language processing (so it requires in-depth knowledge of the scripting language in use), and it does not appear to offer native dashboarding or reporting that is easily accessible to all users.
It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
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.
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
Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.
JAMS is WAY more advanced, it isn't a fair comparison. The history is easy to get through. It is easy to get alerts of complete to failed and with a log. Adding jobs is extremely easy that even my teammates who do not manange the software are able to set them up. With the new web component we are very excited for the future of JAMS advancements.
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).
Our company depends on the JAMS Scheduler in executing a large number of SAP Jobs. In never having had a true Enterprise Scheduler such as JAMS before now, we are very happy with the results.
There a number of features in JAMS for setting up schedules and dependencies on other jobs. This helps our company achieve the necessary workflows for Job execution. This optimization saves on system resources and keeps Jobs flowing smoothly.
We are very happy that JAMS is a robust solution with High Availability. This is necessary for Enterprise products, to reduce downtime, which we have not had as a result. This feature definitely saves our company money by reducing or eliminating unexpected downtime.
