Software Alternatives, Accelerators & Startups

OpenFaas VS AWS Batch

Compare OpenFaas VS AWS Batch and see what are their differences

OpenFaas logo OpenFaas

Easily deploy event-driven functions and microservices to Kubernetes.

AWS Batch logo AWS Batch

AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS.
  • OpenFaas Landing page
    Landing page //
    2022-11-14
  • AWS Batch Landing page
    Landing page //
    2023-02-21

OpenFaas features and specs

No features have been listed yet.

AWS Batch features and specs

  • Scalability
    AWS Batch automatically provisions the optimal quantity and type of compute resources based on the volume and specific resource requirements of the batch jobs submitted.
  • Cost-Effectiveness
    By using AWS Batch, you only pay for the resources you consume, and it provides integration with Spot Instances which can significantly lower costs.
  • No Infrastructure Management
    AWS Batch removes the need to manage server clusters or other infrastructure, allowing users to focus entirely on jobs and workloads.
  • Flexible Job Definitions
    Users can easily specify job definitions to model their machine learning, batch processing, or other computational tasks, allowing for flexibility in resource allocation.
  • Integration with AWS Services
    AWS Batch integrates with various AWS services like Amazon CloudWatch, AWS Lambda, and AWS IAM to provide a comprehensive and secure batch processing solution.

Possible disadvantages of AWS Batch

  • Complexity
    Setting up and configuring AWS Batch can be complex for new users unfamiliar with AWS services, requiring a learning curve.
  • Limited to AWS Ecosystem
    AWS Batch is deeply integrated into the AWS ecosystem, which might not be ideal for users looking for a multi-cloud strategy or those using different cloud service providers.
  • Vendor Lock-in
    Heavy reliance on AWS Batch can lead to vendor lock-in, making it potentially difficult to migrate workloads to other platforms if needed.
  • Potential for Hidden Costs
    While AWS Batch can be cost-effective, there is the potential for unexpected costs if jobs are not efficiently managed or optimized, especially when scaling up resources.
  • Limited Control Over Infrastructure
    Since AWS Batch manages infrastructure automatically, users have limited control over the underlying compute resources, which may not be suitable for all use cases.

OpenFaas videos

OpenFaaS: From Zero to Serverless in 60 Seconds Anywhere with Alex Ellis

More videos:

  • Review - Data science serverless-style with R and OpenFaaS
  • Review - OpenFaaS - Serverless Functions Made Simple for Docker and Kubernetes

AWS Batch videos

How AWS Batch Works

More videos:

  • Review - Live from the London Loft | AWS Batch: Simplifying Batch Computing in the Cloud
  • Review - AWS re:Invent 2018: AWS Batch & How AQR leverages AWS to Identify New Investment Signals (CMP372)

Category Popularity

0-100% (relative to OpenFaas and AWS Batch)
Cloud Computing
25 25%
75% 75
Developer Tools
50 50%
50% 50
Cloud Hosting
18 18%
82% 82
Development
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare OpenFaas and AWS Batch

OpenFaas Reviews

We have no reviews of OpenFaas yet.
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AWS Batch Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
AWS Batch: This is used for batch computing jobs on AWS resources. It has insane scalability and is well-suited for engineers look to do large compute jobs.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, AWS Batch seems to be a lot more popular than OpenFaas. While we know about 16 links to AWS Batch, we've tracked only 1 mention of OpenFaas. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

OpenFaas mentions (1)

AWS Batch mentions (16)

  • Serverless with Mama J โ€” Why Serverless
    Long-running workloads โ€” A single Lambda invocation has a 15-minute maximum, and that applies to synchronous execution. For workloads that need to run longer โ€” heavy video encoding, large data migrations, overnight batch jobs โ€” you'd traditionally reach for something like Amazon ECS or AWS Batch. However, the new AWS Lambda durable functions feature changes the game by letting you build long-running asynchronous... - Source: dev.to / 2 months ago
  • Optimizing AWS Costs for AI Development in 2025
    Compute: This is the big one. It's the cost of running EC2 instances with GPUs (like the g5 or p4 series) for model training and deployment. It also includes the compute for services like Amazon SageMaker and AWS Batch. - Source: dev.to / 12 months ago
  • Looking for a decent (self hostable) program to orchestrate scripts, notify on failures, etc
    After moving off Jenkins, I moved everything to AWS Batch with Fargate. This works quite well, but it is proving to be a little expensive, as I have to pay for:. Source: about 3 years ago
  • Hosting strategy suggestions
    If you're looking for more control over your infrastructure and want to run a full computing environment, EC2 might be the right choice for you. With EC2, you have complete control over the operating system, network, and storage, which can be useful if you need to install custom software or use specific hardware configurations. Additionally, EC2 + Batch processing provide a wider range of instance types, including... Source: over 3 years ago
  • Questions for bioinformatics researchers that use AWS
    AWS Batch is the equivalent of a university cluster you submit to with slurm/sge/lsf/etc. But does not use those schedulers as AWS has their own. Source: over 3 years ago
View more

What are some alternatives?

When comparing OpenFaas and AWS Batch, you can also consider the following products

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

AWS Lambda - Automatic, event-driven compute service

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.

Rancher - Open Source Platform for Running a Private Container Service

Nuclio - Nuclio is an open source serverless platform.