Software Alternatives, Accelerators & Startups

Gin Gonic VS AWS Batch

Compare Gin Gonic VS AWS Batch and see what are their differences

Gin Gonic logo Gin Gonic

Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin. - ...

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.
  • Gin Gonic Landing page
    Landing page //
    2024-03-21
  • AWS Batch Landing page
    Landing page //
    2023-02-21

Gin Gonic features and specs

  • Performance
    Gin is known for its high performance due to its small memory footprint and efficiency. It is capable of handling a large number of requests per second, making it suitable for high-traffic web applications.
  • Minimalist Framework
    Gin offers a minimalist approach, providing only the most essential features needed for web applications. This ensures that your application remains lightweight and fast.
  • Middleware Support
    Gin supports middleware, allowing developers to easily add functionalities such as logging, authentication, and more without cluttering the main application logic.
  • Clear Documentation
    Gin has comprehensive and clear documentation, making it easier for developers to get started and understand the framework's capabilities.
  • Community and Ecosystem
    Gin possesses an active community and a growing ecosystem of plugins and third-party libraries which can be easily integrated to extend the framework's functionality.

Possible disadvantages of Gin Gonic

  • Learning Curve
    Despite its simplicity, Gin can have a steeper learning curve for developers new to Go, as it requires understanding of Go's conventions and idioms.
  • Limited Built-in Features
    While Gin’s minimalist nature is a strength, it also means that some common web features are not available out-of-the-box and need to be implemented by the developer.
  • Opinionated Router
    Gin has an opinionated routing system which may not be as flexible as other web frameworks, potentially requiring workarounds for more complex routing requirements.
  • Middleware Management
    Although middleware support is a pro, managing and organizing middleware can become complex in larger applications, without proper structuring and practices.
  • Error Handling
    Error handling in Gin can sometimes be less intuitive compared to other frameworks, as it relies heavily on Go's error mechanisms, which might not be immediately clear to new developers.

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.

Gin Gonic videos

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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 Gin Gonic and AWS Batch)
Web Frameworks
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Developer Tools
80 80%
20% 20
Cloud Hosting
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 Gin Gonic and AWS Batch

Gin Gonic Reviews

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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, Gin Gonic should be more popular than AWS Batch. It has been mentiond 87 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.

Gin Gonic mentions (87)

  • A Deep Dive into Gin: Golang's Leading Framework
    Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API, but with performance up to 40 times faster than Martini. If you need smashing performance, get yourself some Gin. - Source: dev.to / 4 months ago
  • Simplify Your REST API Responses with Milogo for Gin-Gonic
    At my company we use Go to build internal tools. Recently I worked in a REST API using gin-gonic, that required displaying a lot of data across many endpoints. - Source: dev.to / 6 months ago
  • Even more Opentelemetry!
    Let me be blunt: I dislike (hate?) Go for its error handling approach. However, with close to zero knowledge of the language, I was able to build a basic HTTP API that reads from the database in a couple of hours. I chose Gin Gonic for the web library and Gorm for the ORM. OpenTelemetry provides an integration with a couple of libraries, including Gin and Gorm. On the Dockerfile side, it's also pretty... - Source: dev.to / 11 months ago
  • Ask HN: Good examples of Go back ends?
    Most golang backends I've seen meanwhile use or switched to using the "gin" framework to build their APIs. A lot of them also have conventions for the frontend, where the assets usually are stored in /public, so they can be go:embed later as an embed.FS instance into the binary. Having said that, there's plenty of examples on github. I'd recommend to take a look at bigger projects or templates and understand how... - Source: Hacker News / over 1 year ago
  • From Laravel to Sponge: How to Easily Develop Web Services with Golang
    Excellent Performance: Sponge is built on the gin framework, providing outstanding performance for web service development. - Source: dev.to / over 1 year ago
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AWS Batch mentions (14)

  • 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: almost 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: about 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: about 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 / about 2 years ago
  • can you run OS applications in lambda layers?
    As others mentioned, you *can*. It might be easier with AWS Batch (https://aws.amazon.com/batch/) depending on what you're trying to do. Source: over 2 years ago
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What are some alternatives?

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

Buffalo Go Framework - A Go web development eco-system, designed to make your life easier.

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

Beego - Beego Web is official blog and documentation website for beego app web framework

Nuclio - Nuclio is an open source serverless platform.

FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

AWS Lambda - Automatic, event-driven compute service