Software Alternatives, Accelerators & Startups

AWS Batch VS RawGit

Compare AWS Batch VS RawGit and see what are their differences

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.

RawGit logo RawGit

RawGit serves raw files directly from GitHub with proper content-type headers.
  • AWS Batch Landing page
    Landing page //
    2023-02-21
  • RawGit Landing page
    Landing page //
    2019-04-23

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.

RawGit features and specs

  • Ease of Use
    RawGit provides an easy way to serve files directly from a GitHub repository with simple URL access, requiring minimal setup.
  • Convenient for Demos
    It allows developers to quickly demo a webpage or tool hosted in a GitHub repository without deploying it to a dedicated server.
  • CORS Support
    RawGit has Cross-Origin Resource Sharing (CORS) headers enabled, which makes it easier to include resources hosted on GitHub into web projects.

Possible disadvantages of RawGit

  • Not Suitable for Production
    RawGit explicitly states that it is not intended for production use due to lack of scalability and potential reliability issues.
  • Limited Bandwidth
    The service is limited by bandwidth and usage restrictions, which may result in files being inaccessible if usage exceeds certain limits.
  • Deprecation Warning
    As of the last updates, RawGit announced it was shutting down and encouraged users to switch to alternative solutions for hosting files.

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)

RawGit videos

Host a CSS or JS file on Gist and redirect through RawGit CDN

Category Popularity

0-100% (relative to AWS Batch and RawGit)
Cloud Computing
52 52%
48% 48
Cloud Hosting
100 100%
0% 0
CDN
0 0%
100% 100
Development
100 100%
0% 0

User comments

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Reviews

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

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

RawGit Reviews

We have no reviews of RawGit yet.
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Social recommendations and mentions

Based on our record, AWS Batch seems to be more popular. It has been mentiond 15 times since March 2021. 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.

AWS Batch mentions (15)

  • 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 / about 2 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: over 2 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 2 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 2 years ago
  • Scheduling "Fetch & Run" Batch Jobs with AWS Batch and CloudWatch Rules
    Developers frequently use batch computing to access significant amounts of processing power. You may perform batch computing workloads in the AWS Cloud with the aid of AWS Batch, a fully managed service provided by AWS. It is a powerful solution that can plan, schedule, and execute containerized batch or machine learning workloads across the entire spectrum of AWS compute capabilities, including Amazon ECS, Amazon... - Source: dev.to / over 2 years ago
View more

RawGit mentions (0)

We have not tracked any mentions of RawGit yet. Tracking of RawGit recommendations started around Mar 2021.

What are some alternatives?

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

APeX - Get your own corner of the Web for less! Register a new .COM for just $9.99 for the first year and get everything you need to make your mark online โ€” website builder, hosting, email, and more.

jsDelivr - A free, fast, and reliable Open Source CDN for npm and GitHub with the largest network and best performance from all OSS CDNs. Serving 100 billion requests per month.

AWS Lambda - Automatic, event-driven compute service

raw.githack.com - raw.githack.com serves raw files from github.com with proper Content-Type headers (like rawgit.

Google Cloud Run - Bringing serverless to containers

Statically - The free optimization & CDN for images, CSS, JavaScript, and open source.