使用Blazegraph的公司
It is a fully open-source high-performance graph database supporting the RDF data model and RDR. It operates as an embedded database or over a client/server REST API.
使用Blazegraph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\": [
\"blazegraph\"
]
}"Technology
is any of
Blazegraph
员工数311k收入$73BAutomation Machinery ManufacturingBlazegraph高置信度
员工数16kIT Services and IT ConsultingBlazegraph中置信度
员工数23kIT Services and IT ConsultingBlazegraph中置信度
员工数730k收入$27BIT Services and IT ConsultingBlazegraph中置信度
员工数148k收入$33BSoftware DevelopmentBlazegraph中置信度
员工数66k收入$18BHospitals and Health CareBlazegraph中置信度
员工数114k收入$66BDefense and Space ManufacturingBlazegraph中置信度
员工数45kIT Services and IT ConsultingBlazegraph中置信度
员工数1.2kSoftware DevelopmentBlazegraph中置信度
员工数46Marketing ServicesBlazegraph中置信度
我们拥有关于66家公司和用户使用Blazegraph的数据。我们的Blazegraph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 Blazegraph 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。
Blazegraph is a high-performance graph database that is designed to handle large-scale graphs with billions of nodes, edges, and properties. It leverages a unique architecture to provide real-time graph analytics and high-speed graph updates. Blazegraph is known for its ability to scale horizontally across distributed clusters while maintaining ACID properties, making it a popular choice for applications requiring complex graph data processing.
In the category of Graph Databases, Blazegraph stands out for its robust architecture and performance capabilities. Graph databases like Blazegraph are optimized for handling highly interconnected data, making them ideal for use cases such as social networks, recommendation systems, and fraud detection. By representing data as graphs with nodes and edges, Blazegraph enables efficient traversal and querying of relationships between entities, offering valuable insights for businesses across various industries.
Founded in 2006 by Dr. Bryan Thompson, Blazegraph was originally developed as an open-source project called "Bigdata." The motivation behind Blazegraph's inception was to address the growing demand for high-performance graph databases that could effectively manage diverse and interconnected datasets. Over the years, Blazegraph has evolved into a mature and feature-rich solution, attracting a dedicated user base and establishing itself as a key player in the graph database market.
As of the latest data available, Blazegraph holds a notable market share within the graph database category, thanks to its performance optimization, scalability, and robust feature set. With the increasing adoption of graph database technology in various industries, the forecast suggests that Blazegraph is poised for continued growth in the future. As more businesses recognize the importance of extracting valuable insights from their interconnected data, Blazegraph is expected to play a crucial role in empowering organizations to derive meaningful intelligence from complex relationships.