使用Cayley的公司
Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
使用Cayley的公司列表
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"cayley\"
]
}"Technology
is any of
Cayley
员工数303Travel ArrangementsCayley高置信度
员工数10kGovernment AdministrationCayley高置信度
员工数94k收入$26BBankingCayley高置信度
员工数2.3kHigher EducationCayley高置信度
员工数549Education Administration ProgramsCayley高置信度
员工数29k收入$3.6BHigher EducationCayley高置信度
员工数6.2k收入$350MHigher EducationCayley中置信度
员工数14k收入$984MHigher EducationCayley中置信度
员工数18Hospitals and Health CareCayley中置信度
员工数15kHigher EducationCayley中置信度
我们拥有关于56家公司和用户使用Cayley的数据。我们的Cayley用户和客户列表可供下载，并附有重要的公司信息，包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
技术使用统计和市场份额
如何定位 Cayley 用户
- 如何自定义此列表？
您可以根据地理位置、行业、公司规模、收入、技术使用、职位发布等需求自定义此数据。您可以将数据下载为Excel或CSV格式。
- 如何在公司采用此技术时收到通知？
您可以为此数据设置提醒。您可以通过选择您感兴趣的技术开始，当有新公司使用该技术时，您将收到收件箱中的提醒。
- 如何将此数据导入我的CRM？
您可以将此数据导出为Excel文件，然后导入到您的CRM中。您也可以将数据导出到API。
常见问题
我们的数据来源于从数百万家公司收集的职位发布。我们监控公司网站、招聘网站和其他招聘平台上的这些发布。分析职位发布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。
我们每天刷新数据，以确保您访问的是最新的信息。这一频繁的更新过程保证了我们的洞察和情报反映行业的最新发展和趋势。
Cayley is a powerful technology in the realm of graph databases, offering efficient ways to store and query graph-structured data. It provides users with the capability to create, manage, and query graphs directly using a flexible and user-friendly interface. Cayley is designed to handle large volumes of interconnected data points, making it ideal for applications where relationships between entities play a crucial role. Its versatility allows developers and data analysts to explore complex networks and uncover valuable insights within the data.
Graph Databases, the category to which Cayley belongs, focuses on storing and querying data in the form of graphs composed of nodes and edges. This technology enables users to model and analyze relationships between various entities, making it particularly suitable for use cases such as social networks, recommendation systems, and network analysis. By leveraging graph databases like Cayley, organizations can gain a deeper understanding of their data by representing real-world connections in a more intuitive and efficient manner.
Cayley was founded in 2014 by a group of developers with a passion for graph databases and the potential they hold for transforming data processing. Motivated by the need for a robust and scalable graph database solution, the creators set out to develop Cayley as an open-source project to provide a reliable tool for working with graph data. Since its inception, Cayley has garnered a steadily growing user base, with increased adoption across various industries seeking advanced graph database capabilities.
In terms of current market share, Cayley holds a notable position within the graph database landscape, attracting users looking for a flexible and feature-rich solution for managing graph data. With the growing demand for graph databases in diverse fields such as social media, e-commerce, and fraud detection, Cayley is poised to experience further expansion in its market share. As organizations continue to recognize the value of graph databases for unlocking valuable insights from interconnected data, Cayley is likely to see sustained growth in the foreseeable future.