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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.
我们掌握了关于使用CodeQL的150家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
公司 | 国家 | 行业 | 雇员 | 收入 |
---|---|---|---|---|
GitHub | 美国 | Software Development | 5.8K | $450M |
Oracle | 美国 | It Services And It Consulting | 202K | $50B |
Github | 美国 | Technology, Information And Internet | 5.4K | $450M |
NewDay | 英国 | Financial Services | 1.2K | $759M |
Palantir Technologies | 美国 | Software Development | 4.1K | $1.9B |
印度 | Financial Services | 2K | $14B | |
SVT Robotics | 美国 | It Services And It Consulting | 80 | $3M |
C.H. Robinson | 美国 | Transportation, Logistics, Supply Chain And Storage | 19K | $22B |
Upside | 美国 | Retail | 500 | $3M |
GitHub, Inc. | 美国 | Technology, Information And Internet | 1K | $1B |
Sierra7 | 美国 | It Services And It Consulting | 501 | $17M |
MiTek Inc. | 美国 | Consumer Services | 4 |
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技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
有 4 个 CodeQL 替代品
CodeQL 被用于 17 个国家
常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
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.
您可以访问 TheirStack.com,获取使用 CodeQL 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 150 家使用 CodeQL 的公司的数据。
CodeQL 被广泛应用于包括 "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" 在内的各个行业的各种组织中。欲了解所有使用 CodeQL 的行业的完整列表,请访问 TheirStack.com。
一些使用CodeQL的公司包括GitHub, Oracle, Github, NewDay, Palantir Technologies, Principal Global Services, SVT Robotics, C.H. Robinson, Upside, GitHub, Inc.以及更多公司。您可以在TheirStack.com上找到使用CodeQL的150家公司完整列表。
根据我们的数据,CodeQL 在 美国 (82 companies), 加拿大 (12 companies), 德国 (4 companies), 印度 (4 companies), 日本 (4 companies), 英国 (4 companies), 澳大利亚 (2 companies), 巴西 (2 companies), 爱尔兰 (2 companies), 比利时 (1 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索CodeQL,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。