使用OData的公司
It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.
使用OData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\": [
\"odata\"
]
}"Technology
is any of
OData
员工数148k收入$33BSoftware DevelopmentOData高置信度
员工数671k收入$27BIT Services and IT ConsultingOData高置信度
员工数9.2k收入$200MIT Services and IT ConsultingOData高置信度
员工数350k收入$17BIT Services and IT ConsultingOData高置信度
员工数68k收入$4.8BIT Services and IT ConsultingOData高置信度
员工数89k收入$9.5BIT Services and IT ConsultingOData高置信度
员工数37k收入$1.5BIT Services and IT ConsultingOData高置信度
员工数30kBusiness Consulting and ServicesOData高置信度
员工数190kIT Services and IT ConsultingOData高置信度- 员工数115IT Services and IT ConsultingOData高置信度
我们拥有关于16,631家公司和用户使用OData的数据。我们的OData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 OData 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。
OData, or Open Data Protocol, is a standardized protocol for building and consuming RESTful APIs. It enables the creation and consumption of data services over the web, providing a uniform way to interact with heterogeneous data sources such as databases and web services. OData is based on the principles of REST (Representational State Transfer) and is designed to increase the interoperability of systems by defining a set of best practices for building and consuming APIs.
OData falls under the category of Query Languages, as it provides a query interface for interacting with data services. It allows users to perform various operations such as filtering, sorting, and paging data in a standardized way, making it easier to access and manipulate data from different sources. OData is particularly useful for applications that need to retrieve and manipulate data from multiple systems or platforms in a consistent manner.
OData was founded by Microsoft in 2007 with the goal of creating a uniform way to expose data and enable interoperability between different systems. Since its inception, OData has gained traction in the industry as a popular choice for building data services due to its simplicity and standardization. Microsoft, along with other companies and organizations, continues to support and evolve the OData protocol to meet the changing needs of the data integration landscape.
Currently, OData holds a significant market share within the Query Languages category, with many organizations adopting it as a preferred method for building and consuming APIs. As data interoperability becomes increasingly important in the digital age, the demand for standardized protocols like OData is expected to grow. With its continued support and adoption by major players in the industry, OData is forecasted to maintain and potentially increase its market share in the future.