StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. Amazon CodeGuru vs Coverity Scan

Amazon CodeGuru vs Coverity Scan

OverviewComparisonAlternatives

Overview

Coverity Scan
Coverity Scan
Stacks50
Followers185
Votes0
Amazon CodeGuru
Amazon CodeGuru
Stacks68
Followers151
Votes24

Amazon CodeGuru vs Coverity Scan: What are the differences?

Key Differences between Amazon CodeGuru and Coverity Scan

  1. Analysis Approach: Amazon CodeGuru uses machine learning algorithms to continuously analyze code and provide recommendations for improvements, while Coverity Scan primarily relies on static analysis for identifying potential code defects.

  2. Integration with IDEs: Amazon CodeGuru seamlessly integrates with popular IDEs like IntelliJ IDEA and Eclipse, providing real-time feedback to developers, whereas Coverity Scan is typically a standalone tool that requires manual upload of code for analysis.

  3. Cost Structure: Amazon CodeGuru offers a pay-as-you-go pricing model based on usage, which can be cost-effective for small to medium-sized projects, while Coverity Scan is free for open-source projects but may require a subscription for enterprise use.

  4. Supported Languages: Amazon CodeGuru supports Java and Python languages, providing deep insights and recommendations specifically for these languages, whereas Coverity Scan supports a wider range of programming languages including C, C++, Java, and C#, making it more versatile.

  5. Focus on Performance Optimization: Amazon CodeGuru has a strong emphasis on performance optimization and cost reduction through AI-driven recommendations, whereas Coverity Scan primarily focuses on detecting security vulnerabilities and coding errors to improve code quality.

  6. Ease of Deployment: Amazon CodeGuru can be easily integrated into existing CI/CD pipelines and workflows, offering a seamless deployment process, whereas Coverity Scan may require more manual effort and setup for integration with development processes.

In Summary, Amazon CodeGuru and Coverity Scan differ in their analysis approach, integration with IDEs, cost structure, supported languages, focus areas, and ease of deployment.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Coverity Scan
Coverity Scan
Amazon CodeGuru
Amazon CodeGuru

Coverity's implementation of static analysis can follow all the possible paths of execution through source code (including interprocedurally) and find defects and vulnerabilities caused by the conjunction of statements that are not errors independent of each other.

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.

Test every line of code and potential execution path.;The root cause of each defect is clearly explained, making it easy to fix bugs;Integrates with GitHub and Travis CI
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
50
Stacks
68
Followers
185
Followers
151
Votes
0
Votes
24
Pros & Cons
No community feedback yet
Pros
  • 24
    What programming languages are supported?
Cons
  • 1
    Works only on Java code
Integrations
GitHub
GitHub
Travis CI
Travis CI
GitHub
GitHub
Amazon EC2
Amazon EC2
Java
Java
Amazon EC2 Container Service
Amazon EC2 Container Service
AWS CodeCommit
AWS CodeCommit
Amazon EKS
Amazon EKS
AWS Fargate
AWS Fargate

What are some alternatives to Coverity Scan, Amazon CodeGuru?

Code Climate

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

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

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

PullReview

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 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

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

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

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

ESLint

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

Reviewable

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

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana