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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.
150
entreprises
Nous disposons de données sur 150 entreprises qui utilisent CodeQL. Notre liste de clients CodeQL est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
GitHub | États-Unis | Software Development | 5.8K | $450M |
Oracle | États-Unis | It Services And It Consulting | 202K | $50B |
![]() Github | États-Unis | Technology, Information And Internet | 5.4K | $450M |
![]() NewDay | Royaume-Uni | Financial Services | 1.2K | $759M |
Palantir Technologies | États-Unis | Software Development | 4.1K | $1.9B |
Inde | Financial Services | 2K | $14B | |
SVT Robotics | États-Unis | It Services And It Consulting | 80 | $3M |
C.H. Robinson | États-Unis | Transportation, Logistics, Supply Chain And Storage | 19K | $22B |
![]() Upside | États-Unis | Retail | 500 | $3M |
GitHub, Inc. | États-Unis | Technology, Information And Internet | 1K | $1B |
Sierra7 | États-Unis | It Services And It Consulting | 501 | $17M |
MiTek Inc. | États-Unis | Consumer Services | 4 |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
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Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
CodeQL est utilisé dans 17 pays
Il y a 4 alternatives à CodeQL
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
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.
CodeQL is a cutting-edge technology that companies utilize to enhance their development processes and optimize their code quality. By leveraging the power of CodeQL, organizations can uncover valuable insights from their codebase, leading to improved security, reliability, and efficiency in their software projects.
CodeQL offers advanced code analysis capabilities, enabling companies to identify complex security vulnerabilities and logical errors in their codebase with precision. Unlike traditional static code analysis tools, CodeQL provides a deeper level of understanding of the code, allowing for more accurate bug detection and faster resolution of issues.
One of the key benefits of CodeQL is its scalability and flexibility. Whether working with small startups or large enterprises, CodeQL adapts seamlessly to the size and complexity of the codebase, making it a versatile choice for companies of all scales. This flexibility allows teams to maintain consistency in code quality standards across projects and scale their analysis efforts as needed.
CodeQL benefits from a robust open-source community that continuously contributes to its development and enhancement. Companies utilizing CodeQL can tap into a vast pool of resources, including pre-built queries and best practices shared by the community, which accelerates the adoption process and ensures access to the latest advancements in code analysis techniques.
With CodeQL, companies can derive precise, data-driven insights from their codebase, enabling informed decision-making and proactive identification of potential issues. By leveraging a semantic code analysis approach, CodeQL provides deeper visibility into the code structure, dependencies, and patterns, resulting in more accurate and actionable insights compared to traditional analysis methods.
CodeQL seamlessly integrates with continuous integration/continuous deployment (CI/CD) pipelines, enabling automated code analysis and vulnerability detection at every stage of the development cycle. This integration improves the overall efficiency of the development process, reduces the time-to-market for software releases, and ensures that code quality remains a top priority throughout the development lifecycle.
CodeQL is a powerful code analysis tool used by various companies to enhance their software security practices. Below are some real-life case studies of companies that leverage CodeQL in their development processes:
Company: GitHub
GitHub, the world's leading software development platform, utilizes CodeQL to analyze code across its vast repository ecosystem. They started using CodeQL to proactively identify and fix security vulnerabilities in open-source projects hosted on their platform. By incorporating CodeQL into their security workflow, GitHub significantly improves code security and fosters a more secure open-source community.
Company: Microsoft
Microsoft, one of the tech giants, employs CodeQL in its security development lifecycle to strengthen the code quality of its products and services. They began leveraging CodeQL to perform deep code analysis, identify potential security threats, and fine-tune their codebase against vulnerabilities. Microsoft's proactive approach to code security with CodeQL ensures robust software solutions for their customers.
Company: Google
Google, a global technology leader, integrates CodeQL into its code review processes to enhance the security posture of its applications and platforms. By adopting CodeQL, Google can perform advanced code analysis, detect complex security issues early in the development cycle, and deliver secure software experiences to end-users. Google's strategic use of CodeQL underscores its commitment to upholding high security standards across its diverse product portfolio.
These case studies illustrate how prominent companies such as GitHub, Microsoft, and Google employ CodeQL to fortify their codebases, mitigate security risks, and drive software innovation. By embracing the capabilities of CodeQL, these organizations demonstrate a proactive stance towards enhancing code security and promoting a culture of reliability and trust in their technological solutions.
Vous pouvez accéder à une liste actualisée des entreprises utilisant CodeQL en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 150 entreprises qui utilisent CodeQL.
CodeQL est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Software Development", "It Services And It Consulting", "Technology, Information And Internet", "Financial Services", "Software Development", "Financial Services", "It Services And It Consulting", "Transportation, Logistics, Supply Chain And Storage", "Retail", "Technology, Information And Internet". Pour une liste complète de tous les secteurs utilisant CodeQL, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent CodeQL incluent GitHub, Oracle, Github, NewDay, Palantir Technologies, Principal Global Services, SVT Robotics, C.H. Robinson, Upside, GitHub, Inc. et bien d'autres encore. Vous pouvez trouver une liste complète des 150 entreprises qui utilisent CodeQL sur TheirStack.com.
Selon nos données, CodeQL est le plus populaire dans États-Unis (82 companies), Canada (12 companies), Allemagne (4 companies), Inde (4 companies), Japon (4 companies), Royaume-Uni (4 companies), Australie (2 companies), Brésil (2 companies), Irlande (2 companies), Belgique (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant CodeQL en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.