AWS Batch vs. IBM Cloud Code Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Batch
Score 6.7 out of 10
N/A
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).N/A
IBM Cloud Code Engine
Score 9.1 out of 10
N/A
IBM Cloud Code Engine is a fully managed, serverless platform that unifies the deployment of containers and applications including web apps, microservices, event-driven functions, or batch jobs. This serverless compute service aims to remove the burden of building, deploying, and managing workloads in Kubernetes so users can focus on writing code and not on the infrastructure that is needed to host it. With IBM Cloud Code Engine users can run any workload…N/A
Pricing
AWS BatchIBM Cloud Code Engine
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS BatchIBM Cloud Code Engine
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
AWS BatchIBM Cloud Code Engine
Considered Both Products
AWS Batch

No answer on this topic

IBM Cloud Code Engine
Chose IBM Cloud Code Engine
it is as good as them
Features
AWS BatchIBM Cloud Code Engine
Workload Automation
Comparison of Workload Automation features of Product A and Product B
AWS Batch
7.3
7 Ratings
12% below category average
IBM Cloud Code Engine
-
Ratings
Multi-platform scheduling6.06 Ratings00 Ratings
Central monitoring8.06 Ratings00 Ratings
Logging10.06 Ratings00 Ratings
Alerts and notifications5.06 Ratings00 Ratings
Analysis and visualization5.95 Ratings00 Ratings
Application integration8.76 Ratings00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
AWS Batch
-
Ratings
IBM Cloud Code Engine
6.5
15 Ratings
21% below category average
Scalability00 Ratings6.715 Ratings
Services-enabled integration00 Ratings6.315 Ratings
Best Alternatives
AWS BatchIBM Cloud Code Engine
Small Businesses

No answers on this topic

AWS Lambda
AWS Lambda
Score 8.3 out of 10
Medium-sized Companies
Apache Airflow
Apache Airflow
Score 8.6 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Enterprises
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.6 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS BatchIBM Cloud Code Engine
Likelihood to Recommend
5.0
(7 ratings)
6.3
(15 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(1 ratings)
Usability
8.0
(1 ratings)
6.3
(12 ratings)
User Testimonials
AWS BatchIBM Cloud Code Engine
Likelihood to Recommend
Amazon AWS
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.
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IBM
It would be a good solution for running serverless applications. Because infrastructure setup and maintenance expenses can be avoided, the investment will pay for itself. The time to value is short, allowing IT to respond to business demands quickly. It aided us in customizing security as well as operating a personal project using to autoscale up and down approach. Also, because there isn't much hassle, items can be pushed into production as soon as possible. Simply push a container, create an application, and you're ready to go. But, It is less suited when you have a static machine or need to keep data in some way and do not want to utilize network storage or a database.
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Pros
Amazon AWS
  • 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
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IBM
  • Managed Environment for partners and customers - shifting skills and speed to CSP
  • A variety of programming model support
  • Elastic scalability for cloud native development and speed
  • Flexible consumption model
  • Containerized workloads with horizontal scalability
  • Here is an example - live demo walk-thru delivered to partners and community:
  • https://www.youtube.com/watch?v=MCBClYgpDFg
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Cons
Amazon AWS
  • 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
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IBM
  • the pricing structure is complicated, and the servers are expensive. I really think they should offer better pricing options and support for more languages
  • sometimes the servers go down, and they take too long to respond to support tickets
  • uploading documents is slow since I have to do it one by one, making the process much longer than it should be
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Likelihood to Renew
Amazon AWS
No answers on this topic
IBM
Since this capability supports a wide variety of use cases - all on non proprietary and open technology based frameworks
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Usability
Amazon AWS
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
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IBM
Consumers can purchase individual components as well as unlocking new bundles with special features and services including the extensive data management governance capabilities of the Automation range. Kubernetes containerizing for effective service implementation and an agile, flexible multi-cloud data program help both utilization expansion and deployment to be improved by this architecture.
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Alternatives Considered
Amazon AWS
We wanted to start everything on a scale & with fewer resources to manage the underlying infrastructure.
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IBM
What impresses me most about IBM Cloud Code Engine is the container workload management capability and the Cloud services and dataflow monitoring functionalities. Data security and network security control via IBM Cloud Code Engine is quite excellent and very responsive data integration functions and the first deployment is not very technical.
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Return on Investment
Amazon AWS
  • 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
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IBM
  • [One] positive is that we have one tool to learn (and a simple one) for all kinds of deployment. We need less people to maintain the system.
  • We have saved a lot of time on trouble shooting. It's clear how it works. It's "just" kubernetes..
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ScreenShots

IBM Cloud Code Engine Screenshots

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