Do you know everything you need to know about What is AWS Batch Processing from Amazon Web Services? If not, then read this article to learn all about it.
If you own or operate a large-scale business, you can relate to the frustration of mundane tasks you have to perform.
Everyone at a large-scale enterprise wants to spend their time researching and analyzing the latest market development, and now, with the help of AWS batch processing, they finally can.
What Is AWS Batch Processing [Explained]
AWS Batch Processing is an AWS service that allows you to perform batch processes. You do not need to install any tools to manage your tasks. AWS Batch will handle it for you.
AWS batch processing takes care of scheduling and performing your various everyday task so you can focus on the actual development work you need to perform to scale your business to newer heights.
Because frankly, you are wasting your time if you are using your resource to respond to an email that an automated job from AWS batch processing can do for you.
Therefore, if you want to learn how to utilize your resources to their best ability, continue reading this article.
Core Application of AWS Batch Processing
AWS Batch Processing core application can help you schedule and perform various tasks for you simultaneously through various resources.
For example, if you are a business that needs to send out a newsletter to millions of members.
Instead of sending them out one at a time, AWS Batch Processing can schedule them to be sent to all members at the same time simultaneously through various resources and regions.
Why is AWS Batch Processing Regarded in High Regard
The most significant reason why AWS batch processing is regarded in such high regard is because of the accuracy they provide.
They can help you complete hundreds of thousands of tasks simultaneously without faulting.
AWS batch is the service that professionals from all walks of life, scientists, engineers, and developers prefer to perform tasks at scale without worrying about inaccuracy.
Is AWS Batch Processing The Best Batch Processing Application?
Even though many services allow batch computing tasks to be performed, however, according to the market demand, none have been able to surpass AWS Batch because it is a free service.
You don’t have to pay for AWS batch processing, but the performance it provides you is leaps and bounds better than its competitors, hence, it is regarded as the best batch processing application.
Type of Tasks AWS Batch Processing Can Perform
AWS batch processing service can execute any administrative job you wish to perform; however, its most prominent examples are the following:
1. Schedule A Email/Document To Be Sent At Specific Time
AWS batch service can schedule a document, email, or any other type of data transfer when you want, where you want.
They are incredible because they always execute their job to perfection and have a close-to-nil failure ratio.
2. Run A Diagnostic Through Data To Detect And Eliminate Malware
Another prominent type of job AWS batch processing service can perform is running a health and safety diagnostic through your complete database.
Regardless of how extensive your setup is, this service can sweep through it all and even eliminate it if it detects any harmful malware.
3. Process, Analyze, And Select Information From Data
The final, most prominent type of job this service can perform for you on a scale level is that it can process, analyze, and select information from the complete data.
All you need to do is write a computing code of what you are looking for and what you want to be eliminated, and it will do the rest for you.
Benefits of Using AWS Batch Processing
The following are the benefits of using AWS batch processing service, making it a household name for every tech professional:
Benefits of Using AWS Batch Processing Service |
Time-Saving |
Performance of Mundane Tasks |
Do Not Have To Worry About Maintenance of Service |
Integration Friendly With Other AWS Services |
Free of Cost To Use |
1. Saves You Indispensable Time
An undeniable fact of AWS’s batch processing service is that it is popular primarily because of its time-saving ability.
Although this service has the potential to provide you with various benefits, the time-saving ability it possesses is unrivaled and is also the #1 reason why most users use it.
2. Performs Administrative Tasks For You
One of the core benefits of the AWS batch processing service is that it takes care of mundane administrative tasks.
This allows you to focus on building your application to the best of your ability rather than worrying about distracting tasks.
3. Managed By AWS
Another primary benefit AWS batch processing service serves you is that you don’t need to invest in infrastructure. You use their service as you require, and they are the ones who manage and maintain the service.
4. Allows Integration With Other Amazon Services
AWS provides you with over 200 services. All services are unique, and they cover the complete spectrum of web services any developer might require.
You can do it all by using them, from creating, managing, maintaining, and scaling to deploying. And AWS batch processing service can be integrated with all of them.
5. Pocket Friendly & Useful Application
The AWS batch processing service’s most significant benefit is that it is a free service. You can use it to perform various valuable and essential tasks for your business, and you have to pay nothing for it.
But of course, you will be charged for the services that AWS Batch invokes to perform your operation.
Create AWS Batch Job Queues
So, let us do a small exercise and create AWS Batch Job Queue.
Step 1. Open the console and navigate to the Batch page.
Step 2. Make sure to create the “compute environment” and “scheduling policies” before you go to the next step.
Step 3. Click on the “Job Queues” in the left panel and hit “create”.

Step 4. Select the orchestration type you would prefer for your batch setup.

Step 5. Configure your job queue and choose the “Scheduling Policies” and the “Compute Environment” created in Step 2.

Step 6. And we are done, we have created our first Job queue.

AWS batch vs lambda
Batch | Lambda |
This is used to run batch jobs at a very large scale | This service is used for event-driven data processing which takes a short time |
Can run thousands of heavy loads efficiently managing the backend compute automatically. | Can scale enormously but there is a limit in memory and time |
Compute service but manages data at a very large scale | Event-based computing service but manages data at a small scale. |
AWS batch vs step functions
Batch | Step Function |
Batch is the actual process that processes the data | The step function defines the steps which invoke AWS services for data processing, so to say its an orchestration service |
Use to run batches of heavy loads during offline hours | Serverless way to define your flow of data processing |
AWS batch vs spring batch
AWS Batch | Spring Batch |
Runs job for data processing | These jobs can be run in AWS Batch jobs for data processing |
A batch job can be used to schedule the application created in Spring Batch for data processing | This is basically the framework that defines the code that can be used for creating the application for processing data |
AWS batch use cases
The usage of Batch is for processing huge data. Let us find out how they are used.
Case 1. Processing data from SAP R/3 sources. SAP data is received in CSV that needs to be processed in batches overnight for loading and processing.
Case 2. Bill settlement, these jobs generally process huge amounts of data like credit cards hence Batch is the most suitable option for this.
Case 3. ETL jobs are the kind of jobs that generally process huge data by extracting from various sources and loading it into data warehouses. So a Batch job is the ultimate choice for these.
Case 4. Batch can also be used to create Job Queues for triggering and scheduling jobs as per your required planned schedule.
AWS batch example
Let us see a few examples of Batch jobs.
- Process Order Data
- Process finance data
- Mainframe data
- SAP Data
AWS batch vs EMR
Batch | EMR |
Good for processing structured data and huge data | Good option for processing huge unstructured data |
Don’t need any environmental preparation, just put your code in a docker, and the rest aws will take care | Needs a PySpary environment to process the data load |
AWS batch Processing Pricing
Batch processing is free, but you will be billed for the resources that the Batch job uses for data processing.
What is AWS Batch Processing FAQs
The following are the FAQs regarding the AWS batch processing service:
Q: What Does AWS Batch Processing Do?
AWS batch processing service allows you to simultaneously perform multiple tasks over multiple resources.
Using this service, you can perform batch computing, which allows you to control your company’s complete database and perform functions at scale as you please.
Q: What are the core benefits of batch computing?
The benefit of batch computing is that it saves you time and energy.
You can utilize these saved resources to perform various other core tasks which can help advance your business.
Q: When Can I Use AWS Batch Processing?
You can use AWS batch processing service when you need a task performed on a large scale level at the same time.
An example of this is sending a mass mail to hundreds of thousands of people simultaneously.
Q: Can I Optimize AWS Batch Processing Tasks?
Yes, the AWS batch processing service allows you to optimize this service to select what or how you want it to perform.
Q: How Much Does It Cost To Use AWS Batch Processing Service?
AWS batch processing service is a free service. All you need to do is to have an AWS account to be able to access it.
Q: Which Sectors Is The AWS Batch Processing Service Used?
AWS batch processing service can perform any task you want, thus being eligible for use in all business sectors.
However, its most frequent usage sectors are finance, science & media.
Bottom Line
Technology in 2022 has advanced to a stage where services like AWS batch processing are available to perform tasks for you which were previously handled by employing more resources.
They can perform various tasks through multiple resources, and that too simultaneously.
This is a significant reason they have established themselves as one of Amazon Web Services’ beloved services.
We have discussed on AWS batch tutorial in detail, and at the end, we would like to know what your perception of them is? Let us know in the comment section.

I am an Amazon Web Services Professional, having more than 11 years of experience in AWS and other technologies. Extensively working in various AWS tools like S3, Lambda, API, Kinesis, Load Balancers, EKS, ECS, and many more. Working as a Solution Architect and Technology Lead for Architecting and implementing the same for different clients. He provides expert solutions around the world and especially in countries like the United States, Canada, United Kingdom, Australia, New Zealand, etc. Check out the complete profile on About us.