Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据源自从数百万家公司收集的职位发布信息。我们在公司官网、招聘网站及其他招聘平台上监测这些发布。分析职位发布能够可靠地帮助我们了解各家公司所采用的技术，包括其内部工具的使用情况。

Question 2

数据多久更新一次？

Accepted Answer

我们每日刷新数据，确保您获取到最新可用的信息。如此频繁的更新流程，保证我们的洞察与情报能够反映行业内的最新发展与趋势。

Question 3

什么是Flatfile？

Accepted Answer

Flatfile is a cuttingedge technology in the field of data transfer streamlining the process of importing exporting and mapping data between systems It offers a userfriendly interface that simplifies the traditionally complex task of data migration and integration Flatfiles innovative approach caters to businesses of all sizes enabling them to efficiently manage their data transfer needs without the hassle of manual workarounds or coding

Flatfile falls under the category of Data Transfer a critical component in modern business operations that involves the movement of data from one system to another This category encompasses various tools and solutions aimed at facilitating seamless data exchange between different platforms ensuring data accuracy consistency and security throughout the process Flatfile distinguishes itself within this category by providing a seamless intuitive and efficient data transfer experience that minimizes errors and maximizes productivity for its users

Founded in 2018 by David Boskovic and Eric Crane Flatfile was born out of a shared frustration with the cumbersome and errorprone nature of data importing and exporting processes Determined to simplify data transfer for businesses across industries the founders set out to develop an intuitive solution that would revolutionize how organizations handle their data migration tasks Since its inception Flatfile has rapidly gained traction in the market attracting a growing user base seeking a more effective approach to data transfer challenges

Flatfile has quickly emerged as a key player in the Data Transfer category boasting a notable market share driven by its userfriendly interface and robust functionality With a strong focus on user experience and data accuracy Flatfile continues to expand its presence in the market and is poised for further growth in the future As businesses increasingly recognize the importance of seamless data transfer processes Flatfile is wellpositioned to capitalize on this trend and solidify its position as a leading technology in the data transfer industry

Question 4

如何获取使用Flatfile的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Flatfile 的公司最新列表。我们的平台提供一个全面的数据库，涵盖采用各类技术和内部工具的公司。

Question 5

Flatfile 有多少客户？

Accepted Answer

截至目前，我们拥有关于使用Flatfile的202家公司的数据。

Question 6

谁在使用Flatfile？

Accepted Answer

Flatfile 被广泛应用于各行各业的各类组织，包括 "Software Development", "Furniture and Home Furnishings Manufacturing", "Software Development", "Transportation, Logistics, Supply Chain and Storage", "IT Services and IT Consulting", "Software Development", "IT Services and IT Consulting", "Airlines and Aviation", "IT Services and IT Consulting", "Software Development"。如需查看使用 Flatfile 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Flatfile？

Accepted Answer

使用Flatfile的公司包括Rocketlane, Rooms To Go, Softeon, Kuehne+Nagel, Photon, Ridgeline, Encora Technologies Sdn Bhd, LimeFlight, DXC Technology, BuildOps等更多公司。你可以在TheirStack.com上找到使用Flatfile的202家公司的完整列表。

Question 8

在哪些国家 Flatfile 使用得最多？

Accepted Answer

根据我们的数据，Flatfile 在 美国 (65 companies), 印度 (10 companies), 德国 (9 companies), 加拿大 (8 companies), 英国 (8 companies), 法国 (6 companies), 荷兰 (3 companies), 澳大利亚 (3 companies), 瑞士 (2 companies), 西班牙 (2 companies) 最受欢迎。然而，全球各地的公司都在使用它。

Question 9

如何找到使用Flatfile的公司？

Accepted Answer

你可以在 TheirStack.com 上搜索 Flatfile，从而找到使用它的公司。我们追踪来自数以百万计公司的职位发布，并据此发现他们在使用哪些技术和内部工具。

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

使用 Flatfile 的公司

如何定位Flatfile用户

Flatfile 的替代方案与竞争对手

Cerner Open Engine

DeviceAtlas

Railz ai

Stepzen

Haven OnDemand

IBM StrongLoop

Flatfile 客户按国家划分

美国

印度

德国

加拿大

英国

法国

荷兰

澳大利亚

瑞士

西班牙