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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
aziende
Abbiamo dati su 150 aziende che usano CodeQL. La nostra lista di clienti CodeQL è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
GitHub | Stati Uniti | Software Development | 5.8K | $450M |
Oracle | Stati Uniti | It Services And It Consulting | 202K | $50B |
![]() Github | Stati Uniti | Technology, Information And Internet | 5.4K | $450M |
![]() NewDay | Regno Unito | Financial Services | 1.2K | $759M |
Palantir Technologies | Stati Uniti | Software Development | 4.1K | $1.9B |
India | Financial Services | 2K | $14B | |
SVT Robotics | Stati Uniti | It Services And It Consulting | 80 | $3M |
C.H. Robinson | Stati Uniti | Transportation, Logistics, Supply Chain And Storage | 19K | $22B |
![]() Upside | Stati Uniti | Retail | 500 | $3M |
GitHub, Inc. | Stati Uniti | Technology, Information And Internet | 1K | $1B |
Sierra7 | Stati Uniti | It Services And It Consulting | 501 | $17M |
MiTek Inc. | Stati Uniti | Consumer Services | 4 |
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Ci sono 4 alternative a CodeQL
CodeQL è utilizzata in 17 paesi
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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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano CodeQL visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 150 aziende che utilizzano CodeQL.
CodeQL è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "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". Per un elenco completo di tutti i settori che utilizzano CodeQL, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano CodeQL includono GitHub, Oracle, Github, NewDay, Palantir Technologies, Principal Global Services, SVT Robotics, C.H. Robinson, Upside, GitHub, Inc. e molte altre. Puoi trovare un elenco completo di 150 aziende che utilizzano CodeQL su TheirStack.com.
Secondo i nostri dati, CodeQL è più popolare in Stati Uniti (82 companies), Canada (12 companies), Germania (4 companies), India (4 companies), Giappone (4 companies), Regno Unito (4 companies), Australia (2 companies), Brasile (2 companies), Irlanda (2 companies), Belgio (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano CodeQL cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.