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Google Cloud Functions？

Accepted Answer

Google Cloud Functions is a serverless compute service provided by Google Cloud Platform that allows developers to run eventdriven functions in response to various triggers without the need to manage underlying infrastructure It enables users to focus on writing code rather than worrying about server provisioning or maintenance making it an efficient solution for building microservices or handling individual tasks within larger applications

Google Cloud Functions falls under the category of Serverless Computing and Task Processing As a serverless service Google Cloud Functions abstracts away the complexities of infrastructure management allowing developers to deploy code snippets or functions that are executed in response to events such as HTTP requests changes in cloud storage or messages from PubSub This enables scalable and costeffective execution of code as users only pay for the resources consumed during function execution

Google Cloud Functions was founded by Google and officially launched in 2016 The motivation behind its creation was to provide developers with a serverless platform that seamlessly integrates with other Google Cloud services enabling rapid development and deployment of eventdriven applications Since its inception Google Cloud Functions has gained popularity among developers looking to build lightweight scalable applications without the burden of managing infrastructure

In terms of market share Google Cloud Functions competes with other serverless platforms such as AWS Lambda and Azure Functions While it currently holds a significant portion of the market share within the serverless computing category the competition is fierce and the landscape is rapidly evolving With the increasing adoption of serverless architectures and the continuous improvements made to Google Cloud Functions it is forecasted to grow further in the future as more organizations embrace serverless computing for their applications

Question 4

如何获取使用Google Cloud Functions的公司最新列表？

Accepted Answer

通过访问 TheirStack.com，您可以获取使用 Google Cloud Functions 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

Google Cloud Functions 有多少客户？

Accepted Answer

截至目前，我们拥有使用Google Cloud Functions的3,917家公司数据。

Question 6

谁在使用Google Cloud Functions?

Accepted Answer

Google Cloud Functions 被各种行业的多样化组织所使用，包括 "Financial Services", "Retail", "Advertising Services", "Appliances, Electrical, and Electronics Manufacturing", "Furniture and Home Furnishings Manufacturing", "Software Development", "Construction", "Financial Services", "Consumer Services", "Marketing Services"。要查看使用 Google Cloud Functions 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Google Cloud Functions?

Accepted Answer

一些使用Google Cloud Functions的公司包括Ebury, Loblaw Companies Limited, Taiv, Flux.ai, Tylko, Bombora, JE Dunn Construction, Younited, air up GmbH, Increase，以及更多公司。您可以在TheirStack.com上找到使用Google Cloud Functions的3,917家公司完整列表。

Question 8

在哪些国家中，Google Cloud Functions 使用最多？

Accepted Answer

根据我们的数据，Google Cloud Functions 在 美国 (1,116 companies), 英国 (204 companies), 印度 (142 companies), 法国 (110 companies), 加拿大 (84 companies), 西班牙 (74 companies), 德国 (61 companies), 巴西 (49 companies), 荷兰 (33 companies), 澳大利亚 (31 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Google Cloud Functions的公司？

Accepted Answer

您可以通过在 TheirStack.com 上搜索 Google Cloud Functions 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
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使用Google Cloud Functions的公司

Google Cloud Functions 客户按国家/地区分布

如何针对Google Cloud Functions用户进行定位

美国

英国

印度

法国

加拿大

西班牙

德国

巴西

荷兰

澳大利亚

Google Cloud Functions 替代品和竞争对手

Node.js

jQuery

Kafka

GraphQL

AWS Lambda

Serverless

SST

Unity

RabbitMQ

Azure Functions

Amazon SQS

MQTT

WCF

Amazon SNS

Azure Service Bus

NUnit

Moq

Pulumi

Microsoft Azure Service Bus

Seed

Apache ActiveMQ

ActiveMQ

Celery

Twilio

IBM MQ

Confluent

Bull

Dapper

Amazon MQ

SpecFlow

Consul

Apache NiFi

Refit

AWS Batch

Akka

Google Cloud Run

NHibernate

dawson

IronWorker

Sidekiq

FaaS

Disque

MSMQ

Backbone.js

ZeroMQ

StreamSets

Verne

RestSharp

Hangfire

Cloudflare Workers