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It is an industry-leading semantic code analysis engine that is used to discover vulnerabilities across a codebase. It lets you query code as though it were data. Write a query to find all variants of a vulnerability, eradicating it forever. Then share your query to help others do the same.
185
companies
Technoloy Usage Stadistics and Market Share
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CodeQL is used in 20 countries
We have data on 185 companies that use CodeQL. Our CodeQL customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology
is any of
CodeQL
Company | Country | Industry | Employees | Revenue | Technologies |
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United States | Software Development | 6.1K | $450M | CodeQL | |
United Kingdom | Financial Services | 1.2K | $759M | CodeQL | |
It Services And It Consulting | 501 |
| CodeQL | ||
United States | Computer And Network Security | 110 |
| CodeQL | |
India | Financial Services | 3.1K | $14B | CodeQL | |
United States | It Services And It Consulting | 80 | $3M | CodeQL | |
United States | Consumer Services | 4 |
| CodeQL | |
France | Real Estate | 500 | $3M | CodeQL | |
United States | It Services And It Consulting | 202K | $50B | CodeQL | |
Australia | Human Resources Services | 68 | $2.1M | CodeQL |
There are 33 alternatives to CodeQL
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
CodeQL is a powerful semantic code analysis engine developed by GitHub that enables users to write queries to find security vulnerabilities and bugs in codebases. It is designed to assist developers in effectively identifying and fixing code issues, thereby enhancing the overall quality and security of software projects. CodeQL utilizes a variant of the Datalog query language, making it flexible and efficient for analyzing complex code patterns and structures.
CodeQL falls under the category of Code Search tools, which focus on allowing users to search through code repositories efficiently. Unlike traditional text-based search tools, Code Search tools like CodeQL provide advanced capabilities for developers to understand code semantics, identify bugs, and enhance the security of their applications. By empowering users to write custom queries, CodeQL offers a scalable way to perform static code analysis on a wide range of codebases.
Founded in 2012 by researchers at Semmle, CodeQL originally aimed to revolutionize code analysis by leveraging semantic code querying. GitHub later acquired Semmle in 2019 and integrated CodeQL into their security ecosystem, enabling developers to perform advanced security analysis directly within the GitHub platform. The motivation behind CodeQL was to provide a powerful and efficient tool for developers to proactively identify and address security vulnerabilities in their code, ultimately raising the security standards of software projects globally.
In terms of current market share, CodeQL has gained significant traction within the code analysis and security assessment space. With GitHub's backing and integration, CodeQL has become a key player in empowering developers to secure their codebases efficiently. The growing emphasis on cybersecurity and code quality is expected to drive further adoption of CodeQL in the future, positioning it for potential growth in market share as organizations prioritize secure coding practices and vulnerability mitigation.
You can access an updated list of companies using CodeQL by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 185 companies that use CodeQL.
CodeQL is used by a diverse range of organizations across various industries, including "Software Development", "Financial Services", "It Services And It Consulting", "Computer And Network Security", "Financial Services", "It Services And It Consulting", "Consumer Services", "Real Estate", "It Services And It Consulting", "Human Resources Services". For a comprehensive list of all industries utilizing CodeQL, please visit TheirStack.com.
Some of the companies that use CodeQL include GitHub, NewDay, Sierra 7, Trail of Bits, Principal Global Services, SVT Robotics, MiTek Inc., Upside, Oracle, CryptoRecruit and many more. You can find a complete list of 185 companies that use CodeQL on TheirStack.com.
Based on our data, CodeQL is most popular in United States (89 companies), Canada (14 companies), United Kingdom (9 companies), India (6 companies), Germany (5 companies), Japan (4 companies), France (3 companies), Australia (2 companies), Brazil (2 companies), Ireland (2 companies). However, it is used by companies all over the world.
You can find companies using CodeQL by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.