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招聘信息。我们在公司网站、招聘网站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，包括他们对内部工具的使用。

Question 2

数据更新的频率是多少？

Accepted Answer

我们每天更新我们的数据，以确保您访问到最当前的信息。这个频繁更新的过程保证了我们的见解和情报能够反映行业内的最新发展和趋势。

Question 3

什么是Mule？

Accepted Answer

Mule is a powerful integration platform known for its ability to connect various systems applications and services It provides a robust environment for designing building testing and deploying integration solutions Mule facilitates the effective exchange of data between different platforms enabling seamless communication and interoperability among diverse technologies

Mule falls under the category of Big Data Tools where it plays a pivotal role in enabling the smooth flow of information within big data ecosystems As organizations deal with increasingly large and complex datasets the need for efficient integration solutions like Mule becomes paramount By simplifying the process of connecting disparate systems and handling vast amounts of data Mule empowers companies to streamline their operations and extract valuable insights from their data assets

Founded in 2006 by Ross Mason MuleSoft the company behind Mule aimed to address the challenges of integration in a rapidly evolving technological landscape With a vision to make integration more accessible and effective for businesses of all sizes MuleSoft revolutionized the way organizations approach connectivity and data exchange Over the years Mule has established itself as a leading integration platform garnering a loyal user base and recognition for its innovative approach to solving integration complexities

As of the current market scenario Mule holds a significant market share within the Big Data Tools category With the increasing demand for seamless data integration solutions in the era of big data Mule is poised for continued growth in the foreseeable future As more businesses recognize the value of efficient integration platforms like Mule in driving their digital transformation initiatives the market share of Mule is expected to expand further solidifying its position as a key player in the realm of integration technologies

Question 4

如何获取使用Mule的公司最新列表？

Accepted Answer

通过访问 TheirStack.com，您可以获取使用 Mule 的公司更新列表。我们的平台提供一个全面的数据库，其中包括使用各种技术和内部工具的公司。

Question 5

Mule 有多少客户？

Accepted Answer

截至目前，我们拥有使用Mule的1,673家公司数据。

Question 6

谁在使用Mule?

Accepted Answer

Mule 被各种行业的多样化组织所使用，包括 "Truck Transportation", "Hospitality", "IT Services and IT Consulting", "Higher Education", "Insurance", "Motor Vehicle Manufacturing", "IT Services and IT Consulting", "Software Development", "IT Services and IT Consulting", "Business Consulting and Services"。要查看使用 Mule 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Mule?

Accepted Answer

一些使用Mule的公司包括FedEx Freight, Xanterra Travel Collection, Groundswell, Utah State University, Safety National, Rivian Automotive, Apexon, NeuraFlash, invenioLSI, ICF，以及更多公司。您可以在TheirStack.com上找到使用Mule的1,673家公司完整列表。

Question 8

在哪些国家中，Mule 使用最多？

Accepted Answer

根据我们的数据，Mule 在 美国 (655 companies), 印度 (73 companies), 英国 (64 companies), 澳大利亚 (28 companies), 加拿大 (27 companies), 法国 (26 companies), 荷兰 (24 companies), 西班牙 (19 companies), 德国 (13 companies), 瑞士 (12 companies) 最受欢迎。然而，它被世界各地的公司使用。

Question 9

如何找到使用Mule的公司？

Accepted Answer

您可以通过在 TheirStack.com 上搜索 Mule 来找到使用该技术的公司。我们跟踪来自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Mule的公司

Mule 客户按国家/地区分布

如何针对Mule用户进行定位

美国

印度

英国

澳大利亚

加拿大

法国

荷兰

西班牙

德国

瑞士

Mule 替代品和竞争对手

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Jitsu

Vespa

Amundsen

Amazon AppFlow

s3-lambda

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Sailthru

OpenRefine

Amazon Redshift Spectrum

CDAP

Zato

AtScale

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Acho

Datameer

Panoply

UIMA

Cleo Integration Cloud

Cloudflow

Hevo Data

Anodot

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RisingWave

Apache Kylin

Leadspace

Cyfe

BEYABLE

Logi Info

Oracle Big Data Appliance

Cloudera Enterprise

Kylo

Myria

STUMPY