使用HBase的公司
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
使用HBase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\": [
\"hbase\"
]
}"Technology
is any of
HBase
员工数55IT Services and IT ConsultingHBase高置信度
员工数78k收入$55BFinancial ServicesHBase高置信度
员工数235IT Services and IT ConsultingHBase高置信度
员工数44k收入$62BSoftware DevelopmentHBase高置信度
员工数1.2k收入$1.5BSoftware DevelopmentHBase高置信度
员工数1.1kIT Services and IT ConsultingHBase高置信度
员工数15Defense and Space ManufacturingHBase高置信度
员工数210收入$3.1MProfessional ServicesHBase高置信度
员工数273Software DevelopmentHBase高置信度
员工数33k收入$38BSoftware DevelopmentHBase高置信度
我们拥有关于6,970家公司和用户使用HBase的数据。我们的HBase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 HBase 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。
Apache HBase is an open-source, distributed, non-relational database modeled after Google's Bigtable. It provides real-time read/write access to large datasets and is designed to be scalable, consistent, and fault-tolerant. HBase is built on top of the Hadoop Distributed File System (HDFS) and is a part of the Apache Hadoop project. It is well-suited for applications where low-latency read and write access to large datasets is essential.
HBase falls into the category of Databases, specifically within the NoSQL database subcategory. Unlike traditional relational databases, HBase does not use a fixed schema and can handle semi-structured and unstructured data efficiently. It is ideal for applications that require fast and random access to vast amounts of data, making it popular in use cases such as real-time data processing, fraud detection, and social media analytics.
HBase was initially developed by the Apache Software Foundation and first released in 2007. The motivation behind creating HBase was to provide a scalable, high-performance database solution for big data applications that could run on top of the Hadoop ecosystem. Over the years, HBase has evolved to become a mature and reliable database system used by companies worldwide for various real-time data processing needs.
In terms of current market share within the NoSQL database category, HBase holds a significant position, especially in industries dealing with large-scale data processing and analytics. With the increasing adoption of big data technologies, the demand for scalable and real-time databases like HBase is expected to grow in the future. As organizations continue to focus on leveraging data-driven insights for decision-making, HBase is likely to see a steady increase in market share and relevance in the evolving tech landscape.