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  1. Stackups
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  3. Code Review
  4. Code Review
  5. Coverity Scan vs SonarQube

Coverity Scan vs SonarQube

OverviewComparisonAlternatives

Overview

Coverity Scan
Coverity Scan
Stacks50
Followers185
Votes0
SonarQube
SonarQube
Stacks1.9K
Followers2.0K
Votes53
GitHub Stars10.0K
Forks2.1K

Coverity Scan vs SonarQube: What are the differences?

Introduction

Coverity Scan and SonarQube are both popular static code analysis tools used for identifying code vulnerabilities and improving code quality. While they may have similar purposes, there are several key differences between the two.

  1. Scanning Approach: Coverity Scan uses a deep static analysis approach, which involves a comprehensive examination of the codebase to identify potential issues. It focuses on finding defects, security vulnerabilities, and other coding mistakes. On the other hand, SonarQube utilizes a combination of static analysis and pattern matching to detect bugs, code smells, and security vulnerabilities.

  2. Language Support: Coverity Scan primarily focuses on C, C++, and Java code, whereas SonarQube supports a wide range of programming languages, including but not limited to Java, JavaScript, C#, PHP, Python, and TypeScript. This difference in language support makes SonarQube a more versatile choice for multi-language projects.

  3. Integration Capabilities: SonarQube offers extensive integration capabilities with popular build tools like Maven, Gradle, and MSBuild, as well as CI/CD platforms such as Jenkins and Azure DevOps. It also provides plugins for various IDEs like Eclipse and Visual Studio. Coverity Scan, on the other hand, may require more manual setup for integration with these tools and platforms.

  4. Rule Coverage: Coverity Scan has a vast and mature collection of built-in rules that cover a wide range of coding standards and security best practices. It provides in-depth analysis for defects and vulnerabilities. SonarQube also offers a rich set of rules, but it primarily focuses on code smells, maintainability, and design quality. It may require additional plugins or custom rule sets to cover specific security guidelines.

  5. Community and Support: SonarQube benefits from a large and active community of users, developers, and contributors. It has extensive documentation, a dedicated marketplace for plugins, and a strong online presence. Coverity Scan, on the other hand, is maintained by Synopsys, a commercial vendor, and may have dedicated support options and resources for enterprise users.

  6. Pricing Model: Coverity Scan has a commercial license model with pricing plans based on the size and complexity of the codebase. SonarQube, on the other hand, offers both a free and open-source Community Edition with limited features and a paid Enterprise Edition with additional capabilities and support options. The pricing for the Enterprise Edition is typically based on the number of lines of code scanned.

In summary, while both Coverity Scan and SonarQube are powerful static code analysis tools, their differences lie in scanning approach, language support, integration capabilities, rule coverage, community and support, and pricing models. SonarQube provides more language support, extensive integrations, and a larger community, whereas Coverity Scan offers deep static analysis for defects and security vulnerabilities with a comprehensive set of built-in rules. The choice between the two depends on the specific project requirements, language support, and budget considerations.

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Detailed Comparison

Coverity Scan
Coverity Scan
SonarQube
SonarQube

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.

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.

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
Multi-language;Detect tricky issues;Security analysis;Enhance your workflow
Statistics
GitHub Stars
-
GitHub Stars
10.0K
GitHub Forks
-
GitHub Forks
2.1K
Stacks
50
Stacks
1.9K
Followers
185
Followers
2.0K
Votes
0
Votes
53
Pros & Cons
No community feedback yet
Pros
  • 26
    Tracks code complexity and smell trends
  • 16
    IDE Integration
  • 9
    Complete code Review
  • 2
    Difficult to deploy
Cons
  • 7
    Sales process is long and unfriendly
  • 7
    Paid support is poor, techs arrogant and unhelpful
  • 1
    Does not integrate with Snyk
Integrations
GitHub
GitHub
Travis CI
Travis CI
Gradle
Gradle
Apache Maven
Apache Maven
Jenkins
Jenkins
TeamCity
TeamCity
Appveyor
Appveyor
Travis CI
Travis CI
Apache Ant
Apache Ant
Bamboo
Bamboo

What are some alternatives to Coverity Scan, SonarQube?

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.

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.

Amazon CodeGuru

Amazon CodeGuru

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.

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.

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