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SQuirreL SQL?

Accepted Answer

SQuirreL SQL is an opensource graphical Java application that allows users to view the structure of a JDBC compliant database browse the data in tables issue SQL commands among other database management tasks It provides a userfriendly interface for developers and database administrators to interact with various databases seamlessly SQuirreL SQL supports multiple databases including MySQL PostgreSQL Oracle Microsoft SQL Server and more making it a versatile tool for managing diverse database systems

Database Tools is the category to which SQuirreL SQL belongs offering solutions for interacting with databases efficiently This category includes a wide range of tools designed to streamline database management tasks simplify querying and enhance overall database administration processes SQuirreL SQL stands out in this category for its extensive database support and robust features that cater to the needs of professionals working with different database systems

SQuirreL SQL was founded in 2001 by Colin Bell who aimed to develop a universal SQL client that could connect to any database through a JDBC driver The projects motivation was to provide a flexible and userfriendly tool for database professionals to work with diverse databases without the need for multiple proprietary tools Over the years SQuirreL SQL has gained popularity within the database community for its opensource nature and active development community that continuously enhances its features and compatibility

As of the current market scenario SQuirreL SQL holds a modest market share within the Database Tools category primarily attracting users who value its versatility and opensource nature While facing competition from other established database management tools SQuirreL SQL is projected to experience steady growth in the coming years driven by its continuous updates broad database support and loyal user base seeking a reliable SQL client for their database management needs

Question 4

如何获得使用SQuirreL SQL的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 SQuirreL SQL 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

SQuirreL SQL 有多少客户？

Accepted Answer

截至目前，我们拥有关于 48 家使用 SQuirreL SQL 的公司的数据。

Question 6

谁在使用SQuirreL SQL?

Accepted Answer

SQuirreL SQL 被广泛应用于包括 "IT Services and IT Consulting", "IT Services and IT Consulting", "IT Services and IT Consulting", "Staffing and Recruiting", "IT Services and IT Consulting", "Financial Services", "IT Services and IT Consulting", "IT Services and IT Consulting", "IT Services and IT Consulting", "Financial Services" 在内的各个行业的各种组织中。欲了解所有使用 SQuirreL SQL 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用SQuirreL SQL?

Accepted Answer

一些使用SQuirreL SQL的公司包括Integrated Intel Solutions, ZORGI, Leading Path Consulting, Berkley Group, Neos Consulting Group, The Options Clearing Corporation (OCC), Avtech Solutions Inc, Sistema Technologies, Inc., Aspex, Inc., Morgan Stanley以及更多公司。您可以在TheirStack.com上找到使用SQuirreL SQL的48家公司完整列表。

Question 8

哪些国家使用SQuirreL SQL最多？

Accepted Answer

根据我们的数据，SQuirreL SQL 在 美国 (26 companies), 西班牙 (4 companies), 南非 (2 companies), 法国 (2 companies), 比利时 (1 companies), 爱尔兰 (1 companies), 波兰 (1 companies), 英国 (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SQuirreL SQL的公司？

Accepted Answer

您可以在TheirStack.com上搜索SQuirreL SQL，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
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Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

使用 SQuirreL SQL 的公司

如何针对SQuirreL SQL用户进行定位

SQuirreL SQL 替代品和竞争对手

dbt

orchestrator

Spring Data

PostGIS

migra

Liquibase

Sqoop

pREST

Flyway

Sequel

DBeaver

Postage

RedGate

pgAdmin

Debezium

Skor

MySQL WorkBench

phpMyAdmin

Medis

dBase

Patroni

jOOQ

Jailer

Master Data Services

Red Gate SQL

Galera Cluster

ProxySQL

ReadySet

MongoDB Compass

Knex.js

DbVisualizer

Quest Toad

Hackolade

MaxScale

Navicat

PostgREST

Pome

HeidiSQL

Redis Cloud

Percona Monitoring and Management

Active Admin

DbSchema

GraphiQL

Percona XtraBackup

SQLyog

Objectify

PGLoader

Apache Age

TablePlus

Robo 3T