使用Memgraph的公司
Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop applications you never thought possible in days, not months.
使用Memgraph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\": [
\"memgraph\"
]
}"Technology
is any of
Memgraph
员工数48k收入$12BFinancial ServicesMemgraph高置信度
员工数386Software DevelopmentMemgraph高置信度
员工数89Technology, Information and InternetMemgraph高置信度
员工数314Software DevelopmentMemgraph高置信度
员工数246Software DevelopmentMemgraph高置信度
员工数66IT Services and IT ConsultingMemgraph高置信度
员工数90Software DevelopmentMemgraph高置信度
员工数44Technology, Information and InternetMemgraph高置信度
员工数189收入$13MData Infrastructure and AnalyticsMemgraph高置信度
员工数845收入$18BOil and GasMemgraph高置信度
我们拥有关于198家公司和用户使用Memgraph的数据。我们的Memgraph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 Memgraph 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。
Memgraph is a cutting-edge technology in the field of Graph Databases. It is a high-performance in-memory graph database designed for real-time transactional processing and analytics of connected data. By utilizing a unique architecture optimized for handling complex relationships and dynamic queries, Memgraph empowers users to extract valuable insights from interconnected datasets efficiently.
Graph Databases, like Memgraph, fall into the broader category of NoSQL databases that are specifically tailored to handle data with complex relationships. Unlike traditional relational databases, graph databases excel in representing and navigating relationships between data points, making them ideal for use cases such as social networks, recommendation systems, fraud detection, and network analysis.
Founded in 2018 by a team of experienced developers with a passion for innovative database technology, Memgraph aimed to address the growing demand for scalable, real-time graph databases in diverse industries. With its focus on performance, scalability, and ease of use, Memgraph quickly gained recognition among data-intensive organizations seeking to leverage the power of connected data.
Currently, Memgraph holds a promising market share within the Graph Databases sector, with a growing number of companies adopting its technology to drive critical business processes. Given the increasing complexity of data environments and the rising demand for real-time analytics, the market share of Memgraph is forecasted to expand significantly in the coming years as more organizations recognize the value of graph databases in unlocking actionable insights from interconnected datasets.