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pREST?

Accepted Answer

pREST is an opensource APIfirst RESTful web framework built in Go language designed to simplify the process of building and managing databaseoriented applications pREST allows developers to create custom REST APIs on top of existing PostgreSQL databases enabling seamless communication between frontend interfaces and backend data sources With pREST developers can rapidly prototype and deploy scalable performant APIs without the need for complex configurations or boilerplate code

pREST falls under the category of Database Tools specifically focusing on providing a lightweight and efficient solution for exposing database functionalities via RESTful APIs It acts as a layer between applications and databases offering a simplified approach to database management and data retrieval By abstracting the complexities of database communication into a userfriendly API interface pREST streamlines the development process and promotes agile iterations in databasedependent projects

Founded in 2019 by the team behind Supabase pREST was created with the aim of empowering developers to interact with PostgreSQL databases through modern RESTful API conventions Motivated by the need for a straightforward and efficient way to build APIs directly connected to databases the creators of pREST sought to bridge the gap between traditional SQL interactions and contemporary API paradigms Since its inception pREST has gained traction in the developer community for its simplicity and effectiveness in accelerating databasecentric application development

As of the latest market analysis pREST commands a notable market share within the Database Tools category driven by its ease of use and robust functionality With the growing demand for streamlined database access in web and mobile applications pREST is poised to witness a steady increase in market adoption The forecast indicates a promising future for pREST with a potential to expand its user base and solidify its position as a preferred tool for database API management

Question 4

如何获得使用pREST的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 pREST 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

pREST 有多少客户？

Accepted Answer

截至目前，我们拥有关于 1,839 家使用 pREST 的公司的数据。

Question 6

谁在使用pREST?

Accepted Answer

pREST 被广泛应用于包括 "It Services And It Consulting", "Financial Services", "Human Resources Services", "Oil And Gas", "Pet Services", "Construction", "Retail", "It Services And It Consulting", "Staffing And Recruiting" 在内的各个行业的各种组织中。欲了解所有使用 pREST 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用pREST?

Accepted Answer

一些使用pREST的公司包括IT Universe, Contclaro Contabilidade, Lansarean.eus lan-ataria, Expertise, Acaradiscus, GRUPO ESPINOSA, Job Done Portugal, Dufry, Grupo Petrotec, Asae Consultores以及更多公司。您可以在TheirStack.com上找到使用pREST的1,839家公司完整列表。

Question 8

哪些国家使用pREST最多？

Accepted Answer

根据我们的数据，pREST 在 法国 (91 companies), 西班牙 (47 companies), 比利时 (43 companies), 巴西 (38 companies), 美国 (27 companies), 英国 (20 companies), 葡萄牙 (18 companies), 墨西哥 (15 companies), 德国 (9 companies), 挪威 (8 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pREST的公司？

Accepted Answer

您可以在TheirStack.com上搜索pREST，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

使用 pREST 的公司

如何针对pREST用户进行定位

pREST 替代品和竞争对手

dbt

orchestrator

Spring Data

PostGIS

migra

Liquibase

Sqoop

Flyway

Sequel

DBeaver

Postage

RedGate

pgAdmin

Debezium

Skor

MySQL WorkBench

phpMyAdmin

Medis

dBase

jOOQ

Patroni

Jailer

Master Data Services

Red Gate SQL

Galera Cluster

ProxySQL

ReadySet

MongoDB Compass

Knex.js

DbVisualizer

Quest Toad

MaxScale

Hackolade

Navicat

PostgREST

Pome

HeidiSQL

Redis Cloud

Active Admin

DbSchema

Percona Monitoring and Management

GraphiQL

SQLyog

Objectify

Percona XtraBackup

Robo 3T

Apache Age

TablePlus

PGLoader

SQuirreL SQL