使用Spring Data的公司
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
使用Spring Data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\": [
\"spring-data\"
]
}"Technology
is any of
Spring Data
员工数123IT Services and IT ConsultingSpring Data高置信度
员工数200k收入$75BFinancial ServicesSpring Data高置信度
员工数51kIT Services and IT ConsultingSpring Data高置信度
员工数7.6k收入$150MFinancial ServicesSpring Data高置信度
员工数1.6kSoftware DevelopmentSpring Data高置信度
员工数2.3kIT Services and IT ConsultingSpring Data高置信度
员工数3.8k收入$25MSoftware DevelopmentSpring Data高置信度
员工数156k收入$60BTelecommunicationsSpring Data高置信度
员工数8.4k收入$720MFinancial ServicesSpring Data高置信度
员工数96IT Services and IT ConsultingSpring Data高置信度
我们拥有关于9,667家公司和用户使用Spring Data的数据。我们的Spring Data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 Spring Data 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。
Spring Data is a framework that simplifies the development of data access layers in Java applications. It provides a unified and easy-to-use way to interact with different data sources and databases, reducing the amount of boilerplate code typically required for such tasks. By abstracting away the complexities of data access, developers can focus on writing business logic rather than dealing with low-level database operations.
Spring Data falls under the category of Database Tools, specifically designed to streamline database interactions for Java applications. It offers support for various data access technologies such as JPA (Java Persistence API), MongoDB, Redis, and more. This flexibility allows developers to work with different data stores seamlessly, adapting to the specific requirements of their projects without the need to switch between different frameworks.
Initially founded in 2012 by the Spring team at Pivotal Software (now part of VMware), Spring Data aimed to address the challenges associated with traditional data access methods in Java development. The motivation behind its creation was to provide a more efficient and standardized approach to data access, enabling developers to build robust and scalable applications more effectively.
As of the latest data available, Spring Data enjoys a significant market share within the Database Tools category, with a growing trend expected to continue in the future. The framework's popularity among Java developers, coupled with ongoing updates and enhancements, positions it as a key player in the data access ecosystem. With the increasing demand for reliable and efficient data management solutions, Spring Data is anticipated to further expand its market presence and influence in the coming years.