使用DSE Graph的公司
It is a distributed graph database that is optimized for enterprise applications–Zero downtime, fast traversals at scale, and analysis of complex, related datasets in real time.
使用DSE 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\": [
\"dse-graph\"
]
}"Technology
is any of
DSE Graph
员工数1.5kAnimation and Post-productionDSE Graph高置信度
员工数300收入$8.5MIT Services and IT ConsultingDSE Graph高置信度
员工数59kEntertainment ProvidersDSE Graph中置信度
员工数22k收入$4.4BFinancial ServicesDSE Graph中置信度
员工数224kBankingDSE Graph低置信度
员工数1k收入$20MIT Services and IT ConsultingDSE Graph低置信度
员工数352收入$15MIT Services and IT ConsultingDSE Graph低置信度
员工数60k收入$80BTelecommunicationsDSE Graph低置信度
我们拥有关于14家公司和用户使用DSE Graph的数据。我们的DSE 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 DSE 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。
DSE Graph is a powerful graph database technology that allows users to efficiently store, manage, and query interconnected data. Unlike traditional relational databases, DSE Graph is designed specifically to handle complex relationships and connections between data points, making it ideal for applications that require navigating large networks of information. By utilizing graph structures such as nodes, edges, and properties, DSE Graph enables users to represent and analyze data in a way that closely mirrors real-world relationships.
Graph databases fall under the category of NoSQL databases, which are a modern alternative to traditional SQL databases. DSE Graph, in particular, falls within the subcategory of graph databases, focusing on efficiently storing and querying graph-based data models. This technology is especially suited for use cases like social networks, recommendation systems, fraud detection, and network analysis, where relationships between data are of paramount importance.
DSE Graph was founded by DataStax, a leading company in the field of distributed database management systems. The motivation behind the development of DSE Graph was to provide a scalable and high-performance solution for handling graph data within the broader ecosystem of DataStax Enterprise. The technology was introduced to the market to address the growing demand for graph databases in industries such as finance, e-commerce, and social media.
Currently, DSE Graph holds a notable market share within the graph database category, thanks to its robust feature set and the backing of DataStax's established reputation in the database industry. With the increasing adoption of graph databases in various sectors, the market share of DSE Graph is expected to grow in the coming years as more organizations recognize the benefits of leveraging graph data structures for their data management needs.