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

TimescaleDB是什么？

Accepted Answer

TimescaleDB is an open-source time-series database designed to handle time-series data workloads with ease. It is built on top of PostgreSQL, leveraging its reliability and robustness while enhancing it with time-series specific features. TimescaleDB enables efficient storage and retrieval of time-stamped data, making it ideal for applications that deal with large volumes of time-series data such as IoT, monitoring, and financial analysis. In the realm of databases, TimescaleDB falls under the category of time-series databases. Time-series databases are optimized for handling data points indexed in time-order, allowing for quick and efficient querying and analysis of time-stamped data. TimescaleDB shines in this category by offering scalability, high performance, and advanced features tailored specifically for time-series data management. Founded in 2015 by a group of database experts, TimescaleDB was created to address the growing demand for a reliable and efficient time-series database solution. The team behind TimescaleDB recognized the limitations of traditional relational databases in handling time-series data and set out to develop a specialized solution that could meet the unique requirements of time-series workloads. Since its inception, TimescaleDB has gained recognition in the industry for its innovative approach to time-series data management. In the current market, TimescaleDB has been making significant strides in establishing itself as a key player in the time-series database segment. With a growing user base and adoption by both startups and enterprises, TimescaleDB has been steadily increasing its market share. As the demand for efficient time-series data solutions continues to rise, it is forecasted that TimescaleDB will experience further growth and cement its position as a leading player in the market for time-series databases.

Question 4

如何获取使用TimescaleDB的公司更新列表？

Accepted Answer

您可以通过访问TheirStack.com获取使用TimescaleDB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

TimescaleDB有多少客户？

Accepted Answer

截至目前，我们拥有关于使用TimescaleDB的2,460家公司的数据。

Question 6

谁在使用TimescaleDB？

Accepted Answer

TimescaleDB被各种行业的多样化组织使用，包括"Appliances, Electrical, and Electronics Manufacturing", "Business Consulting and Services", "Utilities", "Software Development", "Financial Services", "Telecommunications", "Industrial Machinery Manufacturing", "IT Services and IT Consulting", "Software Development", "Transportation, Logistics, Supply Chain and Storage"。有关使用TimescaleDB的所有行业的完整列表，请访问TheirStack.com。

Question 7

哪些公司使用TimescaleDB？

Accepted Answer

使用TimescaleDB的一些公司包括Kempower, TEHORA inc., PowereX Energy, Arad Technologies, Keyrock, Ciena, Innovative Refrigeration Systems, Inc., envelio GmbH, Nominal, Charger Logistics Inc等。您可以在TheirStack.com上找到使用TimescaleDB的2,460家公司的完整列表。

Question 8

TimescaleDB在哪些国家使用最多？

Accepted Answer

根据我们的数据，TimescaleDB在美国 (441 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TimescaleDB的公司？

Accepted Answer

您可以通过在TheirStack.com上搜索TimescaleDB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TimescaleDB的公司