There are many alternatives to SQLite Professional Read-Only for Mac if you are looking for a replacement. The best Mac alternative is Beekeeper studio, which is both free and Open Source. If that doesn't suit you, our users have ranked more than 10 alternatives to SQLite Professional Read-Only and 11 are available for Mac so hopefully you can find a suitable replacement. Other interesting Mac alternatives to SQLite Professional Read-Only are DB Browser for SQLite, SQL Studio, Tableplus and SQLite Professional.
Open Source SQL Editor and Database Manager for MySQL, SQL Server, Postgres, Redshift, Sqlite and more.
DB Browser for SQLite (DB4S) is a high quality, visual, open source tool to create, design, and edit database files compatible with SQLite.
Spreadsheet-style table editor with staged commits enables direct data changes and reviewable workflows. Advanced SQL completion, responsive UI, large table performance, and initial support for SQLite, PostgreSQL, and SQL Server support deep data exploration and editing tasks.
A native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection.
Features include:
RazorSQL is an SQL query tool, database browser, SQL editor, and database administration tool for Windows, Mac OS X, Linux, and Solaris.
Base is an application for creating, designing, editing and browsing SQLite 3 database files. It's a proper Mac OS X application. Fast to launch, quick to get in to and get the data you need.
Lita is a free and open source SQLite database administration tool for Windows, MacOSX and Linux.
manage, edit, manipulate, plot and save one or multiple SQLite databases simultaneously in your browser without any native components.
soarSQL is an SQL editor made for analytical processing on Postgres, MySQL, and CSVs — powered by DuckDB.
The database IDE that visualizes SQL queries as you type, with a no-code table editor and interactive database diagram for MySQL, PostgreSQL, and SQL Server.
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