使用JanusGraph的公司
It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
使用JanusGraph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\": [
\"janusgraph\"
]
}"Technology
is any of
JanusGraph
员工数103k收入$7.9BIT Services and IT ConsultingJanusGraph高置信度
员工数50k收入$62BSoftware DevelopmentJanusGraph高置信度
员工数114IT Services and IT ConsultingJanusGraph高置信度
员工数67k收入$31BFinancial ServicesJanusGraph高置信度
员工数90IT Services and IT ConsultingJanusGraph高置信度
员工数181kBankingJanusGraph高置信度
员工数33k收入$6.7BIT Services and IT ConsultingJanusGraph高置信度
员工数110Hospitals and Health CareJanusGraph高置信度
员工数5.2kSocial Networking PlatformsJanusGraph高置信度
员工数47Software DevelopmentJanusGraph高置信度
我们拥有关于422家公司和用户使用JanusGraph的数据。我们的JanusGraph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 JanusGraph 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。
JanusGraph is an open-source, distributed graph database that is designed to support large-scale graph processing and analysis. As a highly scalable and flexible database management system, JanusGraph allows users to store and query highly connected data points efficiently. It is known for its ability to handle complex and interconnected data models, making it a popular choice for applications requiring real-time graph computations.
Graph Databases, the category to which JanusGraph belongs, are specialized databases that are optimized for storing and querying graph data structures. This category is particularly useful for scenarios where relationships between data points are as important as the data itself. Graph databases excel in use cases such as social networks, fraud detection, recommendation engines, and network analysis, where the connections between data points hold valuable insights.
JanusGraph was founded in 2017 by a collaborative effort between Expero, Google, and IBM. The motivation behind developing JanusGraph was to create a scalable and feature-rich graph database that could meet the demands of modern enterprise applications. By combining the strengths of existing graph databases and incorporating new features, JanusGraph aimed to provide a powerful solution for organizations dealing with heavily interconnected data sets.
Currently, JanusGraph holds a notable market share within the graph database category, gaining traction among enterprises looking to leverage graph data structures for sophisticated analytics and real-time insights. With the increasing adoption of graph databases across various industries, the trend suggests that JanusGraph is likely to experience further growth in the future as organizations seek more efficient ways to extract value from their interconnected data.