使用 TimescaleDB 的公司

常见问题

这些数据的来源是什么?

我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息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。

数据多久更新一次?

我们每天更新数据，以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。

什么是TimescaleDB?

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.

如何获得使用TimescaleDB的公司的最新列表？

您可以访问 TheirStack.com，获取使用 TimescaleDB 的公司更新名单。我们的平台提供了一个全面的数据库，涵盖了使用各种技术和内部工具的公司。

TimescaleDB 有多少客户？

截至目前，我们拥有关于 617 家使用 TimescaleDB 的公司的数据。

谁在使用TimescaleDB?

TimescaleDB 被广泛应用于包括 "Software Development", "Software Development", "It Services And It Consulting", "Construction", "Computer And Network Security", "Software Development", "It Services And It Consulting", "Software Development", "Telecommunications", "Financial Services" 在内的各个行业的各种组织中。欲了解所有使用 TimescaleDB 的行业的完整列表，请访问 TheirStack.com。

哪些公司使用TimescaleDB?

一些使用TimescaleDB的公司包括Vimachem - IIoT Pharma 4.0 AI Platform, Timescale, GreenPocket GmbH, Innovative Refrigeration Systems, DomainTools, Bubble, envelio GmbH, CmdScale GmbH, Viavi Solutions, Keyrock以及更多公司。您可以在TheirStack.com上找到使用TimescaleDB的617家公司完整列表。

哪些国家使用TimescaleDB最多？

根据我们的数据，TimescaleDB 在 美国 (175 companies), 英国 (56 companies), 法国 (29 companies), 荷兰 (26 companies), 德国 (24 companies), 加拿大 (14 companies), 印度 (10 companies), 波兰 (8 companies), 瑞士 (8 companies), 澳大利亚 (7 companies) 最受欢迎。然而，它被全世界的公司所使用。

如何找到使用TimescaleDB的公司？

您可以在TheirStack.com上搜索TimescaleDB，来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息，并借此发现他们正在使用的技术和内部工具。