Question 1

这些数据的来源是什么？

Accepted Answer

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。

Question 2

数据多久更新一次？

Accepted Answer

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。

Question 3

KairosDB是什么？

Accepted Answer

KairosDB is an open-source time-series database written in Java that is designed to scale to massive levels, making it ideal for storing metrics and other time-series data. It offers high performance and scalability, allowing users to efficiently manage and analyze large volumes of timestamped data. KairosDB provides flexible data aggregation across different time intervals, enabling users to query and visualize time-series data effectively. Databases such as KairosDB fall under the category of Time-Series Databases. These specialized databases are optimized for handling data that is indexed by time, making them especially suitable for applications that deal with metrics, sensor data, and IoT (Internet of Things) data. Time-series databases excel in efficiently storing, querying, and analyzing data points that are associated with timestamps, allowing users to derive valuable insights from temporal data patterns. KairosDB was founded in 2012 by a team of developers with a vision to create a robust time-series database that could address the growing need for managing time-stamped data at scale. Motivated by the increasing demand for handling metrics and sensor data in real-time applications, the creators of KairosDB set out to build a solution that could meet the performance and scalability requirements of modern time-series data use cases. In terms of current market share, KairosDB has carved a niche for itself within the Time-Series Database category, particularly favored by users looking for an open-source solution with strong scaling capabilities. While its market share may not be as dominant as some of the more established players in the database market, KairosDB continues to attract users who value its performance and flexibility for time-series data storage and analysis. With the increasing adoption of IoT technologies and the growing importance of real-time analytics, it is anticipated that KairosDB's market share is poised to see gradual growth in the future as organizations seek specialized solutions for managing time-series data effectively.

Question 4

如何获取使用KairosDB的公司更新列表？

Accepted Answer

您可以通过访问TheirStack.com获取使用KairosDB的公司更新列表。我们的平台提供了一个全面的公司数据库，涵盖了使用各种技术和内部工具的公司。

Question 5

KairosDB有多少客户？

Accepted Answer

截至目前，我们拥有关于使用KairosDB的23家公司的数据。

Question 6

谁在使用KairosDB？

Accepted Answer

KairosDB被各种行业的多样化组织使用，包括"Technology, Information and Internet", "Automation Machinery Manufacturing", "Software Development", "IT Services and IT Consulting", "Retail", "IT Services and IT Consulting", "IT Services and IT Consulting", "IT Services and IT Consulting", "Utilities", "Software Development"。有关使用KairosDB的所有行业的完整列表，请访问TheirStack.com。

Question 7

哪些公司使用KairosDB？

Accepted Answer

使用KairosDB的一些公司包括VERISIGN, Rockwell Automation, Trakm8, Vetta, Walmart, RCK Techiees Inc, Tintri, GIGA IT, Duquesne Light Company, Walmart Global Tech等。您可以在TheirStack.com上找到使用KairosDB的23家公司的完整列表。

Question 8

KairosDB在哪些国家使用最多？

Accepted Answer

根据我们的数据，KairosDB在美国 (9 companies), 英国 (1 companies), 德国 (1 companies), 爱尔兰 (1 companies)最受欢迎。然而，它在全球各地的公司中都有使用。

Question 9

如何找到使用KairosDB的公司？

Accepted Answer

您可以通过在TheirStack.com上搜索KairosDB找到使用该技术的公司。我们跟踪数百万家公司的职位发布，并利用它们来发现他们正在使用的技术和内部工具。

使用KairosDB的公司