AWS Batch Reviews & Product Details

AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2 and Spot Instances. There is no additional charge for AWS Batch. You only pay for the AWS resources (e.g. EC2 instances) you create to store and run your batch jobs.

Seller

Amazon Web Services (AWS)

Discussions

AWS Batch Community

Solution Type

Best-of-Breed

Overview by

John Miranda (Digital Marketing Specialist at Amazon Web Services)

Value at a Glance

Averages based on real user reviews.

Time to Implement

3 months

Return on Investment

11 months

View More Pricing Information

Top-Rated Alternatives

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User Insights

Average based on 95 real user reviews.

Implementation Time

3 months

Perceived Cost

$$$$$

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Yuriy P.

Developer

Small-Business (50 or fewer emp.)

11/1/2019

"Great serverless service for long running tasks."

4.5/5

What do you like best about AWS Batch?

No need to manage machines, easy to use, great dashboard, context separation using queues, fully supported SDK for programmatic access. Automatic integration with Cloud Watch logs, monitoring. Support of IAM. Review collected by and hosted on G2.com.

What do you dislike about AWS Batch?

Dashboard search is not as well as I would want it to be. Jobs history limited. No manual control over machines allocation. Review collected by and hosted on G2.com.

Yuriy P.

Senior Software Engineer (Blockchains Infrastructure) @ Fireblocks

Small-Business (50 or fewer emp.)

10/27/2019

"Batch jobs processing without any underlying infrastructure."

5/5

What do you like best about AWS Batch?

No need to manage underlying infrastructure.

IAM granular configuration.

Easy Dashboard for monitoring jobs.

Context separation using Job Queues.

TTL for job.

Great SDK, programmatic access. Review collected by and hosted on G2.com.

What do you dislike about AWS Batch?

The dashboard lacks search and filter functionalities. Machine allocation and destruction settings cannot be configured (such as for TTL). Review collected by and hosted on G2.com.

Verified User in Computer Software

Mid-Market (51-1000 emp.)

8/26/2019

"Good for large task executions, bad for quick response time"

3.5/5

What do you like best about AWS Batch?

Easy to configure task queues and queue tasks that require async execution with AWS client for PHP. Good logs on AWS cloudwatch where you can log output and errors of the task execution. Review collected by and hosted on G2.com.

What do you dislike about AWS Batch?

Poor response time between the task is queued and its execution. There is no option to optimize that time to reduce the total task execution time. Review collected by and hosted on G2.com.

Recommendations to others considering AWS Batch:

Not good if you need quick execution times. There is a huge gap between queuing and processing a task. Review collected by and hosted on G2.com.

What problems is AWS Batch solving and how is that benefiting you?

Execution of large tasks that needs huge processing power. With AWS Batch we avoid problems with autoscaling with tasks that can have a large variance of demand. Review collected by and hosted on G2.com.

Ajay G.

Frontend Developer

Information Technology and Services

Enterprise (> 1000 emp.)

10/15/2018

"Product Review - Amazon Batch"

4.5/5

What do you like best about AWS Batch?

There are various good things but the best part I like a job which can be executed in a docker container can be executed in AWS Batch as well. Amazon does not charge an extra fee for the batch Jobs. They only charge for the resources which Batch Job is spawning say EC2 instance, S3 Storage, etc. AWS Batch plays an important role running many jobs at scale, particularly with multiple dependencies. It makes very easy to run that and you don't have to worry about the resources. It's very easy to configure the jobs in AWS Batch and configure the Compute environment. Documentation is really simple. With AWS Batch, there is no need to install any external Batch Computing Tool on the resources. Review collected by and hosted on G2.com.

What do you dislike about AWS Batch?

Maximum number of jobs you can have in a queue is 20 which I would say is low for a bigger organization. As well as the limitation on the maximum number of compute environments. Another thing, support for this product can be improved more. Review collected by and hosted on G2.com.

Recommendations to others considering AWS Batch:

Teams who are running their services on AWS should use the AWS Batch for the batch processing jobs as it gives you a lot of out-of-the-box solutions. You don't have to worry about how other resources will communicate with each other for batch Jobs. Configuring Batch jobs is really easy as it's well documented. The best part is AWS is not charging you for this. They will charge you only for the resources that AWS Batch will be spawning. Review collected by and hosted on G2.com.

What problems is AWS Batch solving and how is that benefiting you?

We are running a lot of batch jobs to clear the resources overnight that we are using. E.g:- Cleaning up the unused docker containers/volumes/networks. Collecting the various application logs overnight and store them in a file Taking a snapshot of various volumes. Review collected by and hosted on G2.com.

Verified User in Hospital & Health Care

Enterprise (> 1000 emp.)

8/14/2018

"AWS Batch"

3.5/5

What do you like best about AWS Batch?

AWS Batch allows to automatically schedule all submitted jobs and manages the lifecycle of the jobs by shifting the time of job processing to periods when greater or less expensive capacity is available. It increases efficiency and maintains prioritization as well as performs resource management. Review collected by and hosted on G2.com.

What do you dislike about AWS Batch?

AWS Batch does not support several features like retry strategies for failed jobs, email status reporting for the jobs, dependency management between the jobs. Review collected by and hosted on G2.com.

Recommendations to others considering AWS Batch:

AWS Batch is an amazing tool for automating job scheduling. It effectively ensures resource management and its EC2 container services are highly scalable. AWS Batch also has features that allow it to be easily integrated with other services. Review collected by and hosted on G2.com.

What problems is AWS Batch solving and how is that benefiting you?

AWS Batch focuses on applications and their resource requirements. EC2 container services are highly scalable and their high performance supports Docker containers as well; this makes it extremely easier for us to run applications on managed clusters of AWS instances. Also, its compatibility with other AWS services is amazing and highly secure. Review collected by and hosted on G2.com.

Verified User in E-Learning

Mid-Market (51-1000 emp.)

2/18/2019

"Quick to Deploy and Implement"

5/5

What do you like best about AWS Batch?

Using a prebuilt terraform module I was quickly able to deploy my Dockerized application. In addition Batch also supports CloudWatch scheduling. Review collected by and hosted on G2.com.

What do you dislike about AWS Batch?

Nothing to dislike. If you need to schedule a container Batch is the best solution. Review collected by and hosted on G2.com.

Verified User in Food & Beverages

Small-Business (50 or fewer emp.)

11/26/2018

"Easiest and fastest way to run multiple computes"

4.5/5

What do you like best about AWS Batch?

No extra charge for the service (of courier you still have to pay for the EC2 charges). Also very easy to deploy hundreds of instances running simultaneously Review collected by and hosted on G2.com.

What do you dislike about AWS Batch?

Interface a little confusing for developers not familiar with AWS Review collected by and hosted on G2.com.

Verified User in Research

Small-Business (50 or fewer emp.)

11/27/2018

"Scaling data augmentation pipeline easily"

4.5/5

What do you like best about AWS Batch?

The ease of scalability and configurability are the best features of AWS Batch service Review collected by and hosted on G2.com.

What do you dislike about AWS Batch?

The community around AWS Batch is quite small so it makes starting with AWS Batch somewhat harder. Documentation can also be a bit complex to get into when getting started with AWS Batch Review collected by and hosted on G2.com.

Ramesh O.

Machine Learning Engineer

Computer Software

Small-Business (50 or fewer emp.)

10/24/2018

"aws batch review"

4.5/5

What do you like best about AWS Batch?

good to use operate on data in batches over cloud like aws Review collected by and hosted on G2.com.

What do you dislike about AWS Batch?

setup time is cumbersome sometimes and can take a lot of time to just startup Review collected by and hosted on G2.com.

Verified User in Retail

Enterprise (> 1000 emp.)

11/29/2018

"AWS Batch for batch ML training and inference"

4.5/5

What do you like best about AWS Batch?

It is really flexible and tightly integrated with other AWS services. Resource management is really helpful. Review collected by and hosted on G2.com.

What do you dislike about AWS Batch?

No cluster-based execution limited the usability on distributed training models. And would like to see AWS Batch support different backends such as EKS. Review collected by and hosted on G2.com.