使用Nebula Graph的公司
It is an open source distributed graph database. It has a shared-nothing architecture and scales quite well due to the separation of storage and computation. It can handle hundreds of billions of vertices and trillions of edges while still maintaining milliseconds of latency. It is openCypher compatible.
使用Nebula Graph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\": [
\"nebula-graph\"
]
}"Technology
is any of
Nebula Graph

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Nebula Graph高置信度
员工数3.8k收入$2.4MComputer and Network Security
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员工数255k收入$1MHigher Education
Nebula Graph中置信度
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Nebula Graph中置信度
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Nebula Graph中置信度
员工数1.4k收入$511MBiotechnology Research
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员工数114IT Services and IT Consulting
Nebula Graph中置信度
员工数159收入$40MSoftware Development
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员工数5.7kInformation Services
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员工数283收入$7MIT Services and IT Consulting
Nebula Graph中置信度
我们拥有关于61家公司和用户使用Nebula Graph的数据。我们的Nebula Graph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 Nebula Graph 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。
Nebula Graph is a cutting-edge distributed graph database designed to efficiently handle massive-scale data and relationships in real-time. As a powerful tool in the realm of graph databases, Nebula Graph enables users to uncover valuable insights from highly interconnected data structures, making it an ideal solution for applications requiring complex data relationships to be analyzed and queried with speed and precision.
In the category of Graph Databases, Nebula Graph stands out for its robust features tailored for modern data challenges. Graph databases like Nebula Graph are specifically designed to store and process data in a graph format, leveraging nodes and edges to represent entities and relationships between them. This approach allows for flexible and efficient querying of complex relationships, making graph databases a preferred choice for applications where relationships are a core aspect of the data model.
Founded in 2019 by a team of passionate developers with a vision to revolutionize graph databases, Nebula Graph has quickly gained traction in the industry due to its innovative approach and performance capabilities. The creators of Nebula Graph aimed to address the growing demand for scalable, real-time graph database solutions that can handle the complexities of modern data environments efficiently.
Nebula Graph is steadily gaining market share within the realm of Graph Databases, as more organizations recognize the value of leveraging graph-based data models for their analytical and transactional requirements. With an increasing focus on data-driven decision-making and the rise of interconnected data sources, the demand for graph databases like Nebula Graph is expected to grow in the future, signaling a promising trajectory for its market share in the coming years.