Software Alternatives & Reviews

TeamSQL VS RazorSQL

Compare TeamSQL VS RazorSQL and see what are their differences

TeamSQL logo TeamSQL

Simple Effortless Extensible Multi-Platform Data Client for MySQL, PostgreSQL, Microsoft SQL Server, Amazon Redshift and Redis

RazorSQL logo RazorSQL

RazorSQL is an SQL Editor and SQL database query tool for macOS, Windows, Linux, and Mac OS X.
  • TeamSQL Landing page
    Landing page //
    2018-09-29
  • RazorSQL Landing page
    Landing page //
    2021-09-24

TeamSQL videos

[HOW TO] Share a SQL query in TeamSQL

RazorSQL videos

RazorSQL Mac Overview

More videos:

  • Review - RazorSQL 7.1.6 Full

Category Popularity

0-100% (relative to TeamSQL and RazorSQL)
Databases
54 54%
46% 46
Database Management
0 0%
100% 100
Relational Databases
100 100%
0% 0
MySQL Tools
28 28%
72% 72

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TeamSQL and RazorSQL

TeamSQL Reviews

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RazorSQL Reviews

15 Best MySQL GUI Clients for macOS
RazorSQL is an easy-to-use SQL query tool that has been tested on over 40 database management systems, including MySQL. Its key features comprise a handy database browser, visual database tools, SQL query builder, SQL editor, as well as data import, export, and comparison functionality.
Source: blog.devart.com

What are some alternatives?

When comparing TeamSQL and RazorSQL, you can also consider the following products

MySQL - The world's most popular open source database

DBeaver - DBeaver - Universal Database Manager and SQL Client.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

DataGrip - Tool for SQL and databases

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Navicat - Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.