Amazon CodeGuru vs Snyk

Overview

Snyk

Stacks580

Followers380

Votes20

Amazon CodeGuru

Stacks68

Followers151

Votes24

Amazon CodeGuru vs Snyk: What are the differences?

Amazon CodeGuru and Snyk are two popular tools used in the software development workflow for improving code quality and security. While both tools have the common goal of helping developers write better code, there are several key differences between them.

Code Analysis Capabilities: Amazon CodeGuru uses machine learning algorithms to analyze code and provide intelligent recommendations for improving performance and eliminating potential issues. It uncovers hard-to-find problems and suggests specific lines of code to optimize. On the other hand, Snyk specializes in identifying and fixing open source vulnerabilities by scanning dependencies and providing actionable insights.
Integration with CI/CD Pipelines: CodeGuru offers seamless integration with popular CI/CD tools like AWS CodePipeline and AWS CodeBuild. It can be easily incorporated into the development process, providing continuous feedback and automating code reviews. In contrast, Snyk also provides integrations with various CI/CD platforms like Jenkins, CircleCI, and GitHub Actions, offering continuous monitoring and automated fixes for vulnerabilities.
Developer Workflow: CodeGuru focuses on helping individual developers improve their code quality by providing line-by-line suggestions and code reviews. It provides specific recommendations at the code level, making it easier for developers to understand and fix issues. On the other hand, Snyk is designed to assist both developers and security teams. It scans projects and dependencies to identify vulnerabilities and provides reports and alerts to ensure security loopholes are addressed.
Supported Languages: CodeGuru supports popular programming languages like Java and Python. It leverages AI-powered models that are trained to understand specific language constructs and provide accurate feedback. In contrast, Snyk supports a wide range of languages including JavaScript, Python, Java, Ruby, and more. It caters to multi-language projects and offers tailored vulnerability scanning for different programming languages.
Pricing Model: CodeGuru follows a pay-as-you-go pricing model based on the lines of code analyzed, with separate pricing for each analysis type. It offers a free tier for customers to get started. On the other hand, Snyk offers both free and paid plans based on the number of developers, allowing teams to choose a suitable plan based on their requirements and budget.
Additional Features: Apart from code analysis, CodeGuru provides a profiler that helps identify application performance bottlenecks. It gives developers insights into optimization opportunities at runtime. Snyk, on the other hand, offers container scanning capabilities, allowing teams to identify vulnerabilities in container images and orchestration configurations.

In Summary, Amazon CodeGuru focuses on code optimization and offers machine learning-powered code analysis, while Snyk specializes in vulnerability scanning for open source dependencies and provides insights for both developers and security teams. Each tool has its own strengths and features, catering to different aspects of the software development lifecycle.

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Advice on Snyk, Amazon CodeGuru

Bryan

SRE Manager at Subsplash

Apr 1, 2020

Needs adviceon

WhiteSource

Snyk

Sonatype Nexus

I'm beginning to research the right way to better integrate how we achieve SCA / shift-left / SecureDevOps / secure software supply chain. If you use or have evaluated WhiteSource, Snyk, Sonatype Nexus, SonarQube or similar, I would very much appreciate your perspective on strengths and weaknesses and how you selected your ultimate solution. I want to integrate with GitLab CI.

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Comments

Detailed Comparison

Snyk	Amazon CodeGuru
Automatically find & fix vulnerabilities in your code, containers, Kubernetes, and Terraform	It is a machine learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.
-	Automate code reviews; Fast and reliable code issue detection; Trained on decades of knowledge and experience; Understand the runtime behavior of applications; Intelligent recommendations; Always-on profiling of applications in production
Statistics
Stacks 580	Stacks 68
Followers 380	Followers 151
Votes 20	Votes 24
Pros & Cons
Pros 10 Github Integration 5 Free for open source projects 4 Finds lots of real vulnerabilities 1 Easy to deployed Cons 2 Does not integrated with SonarQube 1 No surface monitoring 1 No malware detection 1 False positives 1 Complex UI	Pros 24 What programming languages are supported? Cons 1 Works only on Java code
Integrations
Scala .NET GitHub CircleCI Docker JavaScript Node.js Python Golang Java	GitHub Amazon EC2 Java Amazon EC2 Container Service AWS CodeCommit Amazon EKS AWS Fargate

What are some alternatives to Snyk, Amazon CodeGuru?

Code Climate

After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.

Codacy

Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

Gerrit Code Review

Gerrit is a self-hosted pre-commit code review tool. It serves as a Git hosting server with option to comment incoming changes. It is highly configurable and extensible with default guarding policies, webhooks, project access control and more.

SonarQube

SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.

RuboCop

RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.

CodeFactor.io

CodeFactor.io automatically and continuously tracks code quality with every GitHub or BitBucket commit and pull request, helping software developers save time in code reviews and efficiently tackle technical debt.

ESLint

A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.

Reviewable

A code review tool for GitHub pull requests inspired by Google's internal tool. Powerful diffing and workflow features wrapped in a beautiful UI, with seamless GitHub integration. Free for public repos.

Related Comparisons

Amazon CodeGuru vs Snyk: What are the differences?

Code Analysis Capabilities: Amazon CodeGuru uses machine learning algorithms to analyze code and provide intelligent recommendations for improving performance and eliminating potential issues. It uncovers hard-to-find problems and suggests specific lines of code to optimize. On the other hand, Snyk specializes in identifying and fixing open source vulnerabilities by scanning dependencies and providing actionable insights.
Integration with CI/CD Pipelines: CodeGuru offers seamless integration with popular CI/CD tools like AWS CodePipeline and AWS CodeBuild. It can be easily incorporated into the development process, providing continuous feedback and automating code reviews. In contrast, Snyk also provides integrations with various CI/CD platforms like Jenkins, CircleCI, and GitHub Actions, offering continuous monitoring and automated fixes for vulnerabilities.
Developer Workflow: CodeGuru focuses on helping individual developers improve their code quality by providing line-by-line suggestions and code reviews. It provides specific recommendations at the code level, making it easier for developers to understand and fix issues. On the other hand, Snyk is designed to assist both developers and security teams. It scans projects and dependencies to identify vulnerabilities and provides reports and alerts to ensure security loopholes are addressed.
Supported Languages: CodeGuru supports popular programming languages like Java and Python. It leverages AI-powered models that are trained to understand specific language constructs and provide accurate feedback. In contrast, Snyk supports a wide range of languages including JavaScript, Python, Java, Ruby, and more. It caters to multi-language projects and offers tailored vulnerability scanning for different programming languages.
Pricing Model: CodeGuru follows a pay-as-you-go pricing model based on the lines of code analyzed, with separate pricing for each analysis type. It offers a free tier for customers to get started. On the other hand, Snyk offers both free and paid plans based on the number of developers, allowing teams to choose a suitable plan based on their requirements and budget.
Additional Features: Apart from code analysis, CodeGuru provides a profiler that helps identify application performance bottlenecks. It gives developers insights into optimization opportunities at runtime. Snyk, on the other hand, offers container scanning capabilities, allowing teams to identify vulnerabilities in container images and orchestration configurations.

Amazon CodeGuru vs Snyk

Overview