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Featured AWS Batch reviews

AWS Batch mindshare

As of July 2025, the mindshare of AWS Batch in the Compute Service category stands at 20.1%, up from 15.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Compute Service

PeerResearch reports based on AWS Batch reviews

TypeTitleDate
CategoryCompute ServiceJul 28, 2025Download
ProductReviews, tips, and advice from real usersJul 28, 2025Download
ComparisonAWS Batch vs AWS LambdaJul 28, 2025Download
ComparisonAWS Batch vs AWS FargateJul 28, 2025Download
ComparisonAWS Batch vs Amazon EC2 Auto ScalingJul 28, 2025Download
Suggested products
TitleRatingMindshareRecommending
Apache Spark4.211.5%90%66 interviewsAdd to research
AWS Lambda4.320.7%94%88 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
29%
Manufacturing Company
7%
Computer Software Company
7%
University
6%
Comms Service Provider
6%
Healthcare Company
5%
Government
5%
Insurance Company
5%
Media Company
3%
Educational Organization
3%
Retailer
3%
Hospitality Company
2%
Consumer Goods Company
2%
Recreational Facilities/Services Company
2%
Construction Company
2%
Real Estate/Law Firm
2%
Wholesaler/Distributor
1%
Pharma/Biotech Company
1%
Legal Firm
1%
Transportation Company
1%
Marketing Services Firm
1%
Energy/Utilities Company
1%
Logistics Company
1%
Outsourcing Company
1%
 

AWS Batch reviews

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AK
Software Engineering Manager – Digital Production Optimization at Yara International ASA
Verified user of AWS Batch
Mar 10, 2025
Flexibility in planning and scheduling with containerized workload management has significantly improved computational efficiency
JR
Head of Development at Abyss
Verified user of AWS Batch
Apr 16, 2025
Creates isolated environments for secure code execution and requires improved startup time solutions
Find out what your peers are saying about AWS Batch. Updated July 2025
863,679 professionals have used our research since 2012.
KP
Senior Battery Data Engineer at a agriculture with 51-200 employees
Verified user of AWS Batch
Apr 14, 2025
Enables efficient scaling and robust integration despite debugging challenges
Larry Singh - PeerSpot user
Head of Bioinformatics at Paratus Sciences
Verified user of AWS Batch
Nov 18, 2023
User-friendly, good customization and offers exceptional scalability, allowing users to run jobs ranging from 32 cores to over 2,000 cores

Pros

"There is one other feature in confirmation or call confirmation where you can have templates of what you want to do and just modify those to customize it to your needs. And these templates basically make it a lot easier for you to get started. "

Cons

"The main drawback to using AWS Batch would be the cost. It will be more expensive in some cases than using an HPC. It's more amenable to cases where you have spot requirements. "
AI
Independent Consultant at a consultancy with 1-10 employees
Verified user of AWS Batch
Apr 16, 2025
Efficiently deploys containerized workflows in parallel and manages resources cost-effectively
PR
Senior Data Engineer at a tech services company with 5,001-10,000 employees
Verified user of AWS Batch
Apr 24, 2025
Have improved data backup process with effective and reliable batch processing while finding minor areas for UI improvement
PeerSpot user
Works
Verified user of AWS Batch
Apr 4, 2025
Parallelizes large data processing and offers integration with job scheduling while direct deployment as code remains needed
RANJAN KUMAR - PeerSpot user
DevOps Engineer at ZoomOps Technology
Verified user of AWS Batch
Mar 2, 2024
Used to manage containerized workloads and dynamic scaling

Pros

"AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling."

Cons

"The solution should include better and seamless integration with other AWS services, like Amazon S3 data storage and EC2 compute resources."