Question 1

这些数据的来源是什么?

Accepted Answer

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。

Question 2

数据多久更新一次?

Accepted Answer

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。

Question 3

什么是Sequel Pro?

Accepted Answer

Sequel Pro is a popular opensource database management tool specifically designed for working with MySQL databases It provides a userfriendly interface that allows users to interact with their databases efficiently Sequel Pro is known for its simplicity and powerful features that make database management tasks streamlined and intuitive for developers and database administrators With its ability to connect to local and remote MySQL databases Sequel Pro simplifies the process of database administration and querying making it an essential tool for those working with MySQL databases

In the category of Database Tools Sequel Pro stands out as a robust solution for managing MySQL databases effectively It offers a range of features such as intuitive table creation and editing advanced query capabilities and seamless data exportimport functionalities Whether its for database development debugging or performance optimization Sequel Pro provides the tools necessary to facilitate these tasks within a userfriendly environment Its focus on MySQL databases caters to developers and businesses that rely on this popular relational database management system

Founded in 2002 by Stuart Connolly Sequel Pro was initially motivated by the need for a userfriendly MySQL management tool for the Mac operating system Over the years Sequel Pro has evolved to become a wellestablished tool in the database management space gaining a loyal user base due to its ease of use and powerful functionality As an opensource project Sequel Pro has benefited from contributions from the developer community further enhancing its capabilities and ensuring its relevance in the dynamic database tools landscape

Currently Sequel Pro holds a significant market share within the realm of MySQL database management tools Its popularity among developers and database administrators has solidified its position as a preferred choice for working with MySQL databases With the continued growth of MySQL adoption and the evolving needs of database management professionals the market share of Sequel Pro is poised to see further expansion in the coming years As organizations increasingly rely on MySQL for their data storage needs Sequel Pro is expected to maintain its relevance and potentially grow its market share within the database tools category

Question 4

如何获得使用Sequel Pro的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Sequel Pro 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。

Question 5

Sequel Pro 有多少客户？

Accepted Answer

截至目前，我们拥有关于 26 家使用 Sequel Pro 的公司的数据。

Question 6

谁在使用Sequel Pro?

Accepted Answer

Sequel Pro 被广泛应用于包括 "It Services And It Consulting", "It Services And It Consulting", "Staffing And Recruiting", "Education", "Software Development", "Broadcast Media Production And Distribution", "Online Audio And Video Media", "Oil And Gas" 在内的各个行业的各种组织中。欲了解所有使用 Sequel Pro 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Sequel Pro?

Accepted Answer

一些使用Sequel Pro的公司包括Pushpay, AppDirect, Highland Principals, AMDA, Hire SQL, FEDERATION SPORTIVE DES ASPTT, Church Community Builder, medienreaktor GmbH, Scribd, Terra Energy以及更多公司。您可以在TheirStack.com上找到使用Sequel Pro的26家公司完整列表。

Question 8

哪些国家使用Sequel Pro最多？

Accepted Answer

根据我们的数据，Sequel Pro 在 美国 (16 companies), 日本 (1 companies), 荷兰 (1 companies), 西班牙 (1 companies) 最受欢迎。然而，它被全世界的公司所使用。

Question 9

如何找到使用Sequel Pro的公司？

Accepted Answer

您可以在TheirStack.com上搜索Sequel Pro，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。

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

公司	国家	行业	雇员	收入	技术
Pushpay	美国	It Services And It Consulting	526	$203M	Sequel Pro
AppDirect	美国	It Services And It Consulting	1.2K	$250M	Sequel Pro
Highland Principals	美国	Staffing And Recruiting	3		Sequel Pro
AMDA	美国	Education	550	$11M	Sequel Pro
Hire SQL	美国	Software Development			Sequel Pro
FEDERATION SPORTIVE DES ASPTT					Sequel Pro
Church Community Builder					Sequel Pro
medienreaktor GmbH		Broadcast Media Production And Distribution	11		Sequel Pro
Scribd	美国	Online Audio And Video Media	410	$120M	Sequel Pro
Terra Energy		Oil And Gas			Sequel Pro

使用 Sequel Pro 的公司

如何针对Sequel Pro用户进行定位

使用 Sequel Pro 的公司

如何针对Sequel Pro用户进行定位

这些数据的来源是什么?

这些数据的来源是什么?

数据多久更新一次?

数据多久更新一次?

什么是Sequel Pro?

什么是Sequel Pro?

如何获得使用Sequel Pro的公司的最新列表？

如何获得使用Sequel Pro的公司的最新列表？

Sequel Pro 有多少客户？

Sequel Pro 有多少客户？

谁在使用Sequel Pro?

谁在使用Sequel Pro?

哪些公司使用Sequel Pro?

哪些公司使用Sequel Pro?

哪些国家使用Sequel Pro最多？

哪些国家使用Sequel Pro最多？

如何找到使用Sequel Pro的公司？

如何找到使用Sequel Pro的公司？

使用Sequel Pro的公司所在国家

美国

日本

荷兰

西班牙

使用Sequel Pro的公司列表

Sequel Pro 替代品和竞争对手

Prometheus

Microsoft Azure Functions

AWS for SAP

Microsoft SQL Server Integration Services

Amazon Kinesis

OpenText

AWS Data Pipeline

ShareFile

AWS Lake Formation

Apache HUDI

SAP Data Migration

AWS Database Migration Service

AWS Cloud Data Migration

BigID

AWS Service Catalog

Castor

AWS DataSync

OpenData

Immuta

Microsoft Azure Data Catalog

Syniti

Amazon Cloud Directory

Amazon Kinesis Firehose

Amazon Aurora Serverless

IBM Spectrum Scale

SentryOne

PoolParty

AWS SDK for .NET

Solidatus

GovQA

SAS ETL

ePACT

AWS Migration Hub

TIBCO Rendezvous

Oracle Enterprise Data Management

AWS Outposts

K2View

Oracle WebCenter Sites

Amazon Kinesis Data Firehose

AWS Server Migration Service

SAS DataFlux

Amazon Kinesis Data Analytics

PTC Windchill PDMLink

Cloudera Navigator

Okera

Google Cloud Data Loss Prevention

Oracle Customer Hub

Commvault Hyperscale

Apache Calcite

ThinkLP

这些数据的来源是什么?