Amazon SageMaker vs. AWS Batch vs. JAMS

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.

Incentivized

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.

Incentivized

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.

Incentivized

• Machine Learning at scale by deploying huge amount of training data
• Accelerated data processing for faster outputs and learnings
• Kubernetes integration for containerized deployments
• Creating API endpoints for use by technical users

Incentivized

• Easy to orchestrate and trigger jobs
• No time limit issues like lambda
• Multiple Jobs can be run in same single compute and job queue
• JOb queue can queue up task for parralled or serialization

Incentivized

• JAMS works well to organize jobs into logical folders with unique permissions for each folder
• JAMS makes it easy to set up alerts for job failures and other notifications
• Setting up scheduling times with normal human wording, such as Weekdays, or 2nd Tuesday of the month, etc.

Incentivized

• 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.

Incentivized

• Jobs monitoring dashboards are not matured
• Documentation and support is something which can be improved
• Sometime i faced the slow response or slow in performance i would say

Incentivized

• Would love to see JAMS become a SaaS type of product instead of needing to be hosted by ourselves
• having lots of jobs in the monitor area can lead to performance issues when running the client locally
• dashboard and reporting tools could be more user friendly and provide more functionality to help monitoring teams spot recurring issues easily

Incentivized

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.

Incentivized

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

Incentivized

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.

Incentivized

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

Incentivized

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

Incentivized

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!

Incentivized

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.

Incentivized

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

Incentivized

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.

Incentivized

We wanted to start everything on a scale & with fewer resources to manage the underlying infrastructure.

Incentivized

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.

Incentivized

i didnt have any involvement in the sales process, however we purchased the product so it had to be decent.

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).

Incentivized

i didnt have any involvement in the sales process, however we purchased the product so it had to be decent.

• We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
• We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
• For our use-cases, serving models is less expensive with SageMaker than bespoke servers.

Incentivized

• Overall over business is able to save the cost
• Saved our times to improve the existing process
• Able to integrate with other applications as well, so that is plus point

Incentivized

• 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.