Hemlock is described as 'Versatile database management tool that enables users to connect seamlessly to both SQL and MongoDB databases' and is a database management tool in the development category. There are more than 25 alternatives to Hemlock for a variety of platforms, including Windows, Linux, Mac, Flathub and Flatpak apps. The best Hemlock alternative is DBeaver, which is both free and Open Source. Other great apps like Hemlock are HeidiSQL, phpMyAdmin, MySQL Workbench and Beekeeper studio.
Sequeler is a native Linux SQL client built in Vala and Gtk. It allows you to connect to your local and remote databases, write SQL in a handy text editor with language recognition, and visualize SELECT results in a Gtk.Grid Widget.
dbForge Studio for MySQL is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient.
dbForge SQL Complete is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.
Web front end for your database. Build data entry forms, sheets, and reports.
DbSchema is a visual database design & management tool. It can connect to any SQL, NoSQL or Cloud database via JDBC drivers. The tool includes features such as Relational Data Browse, Visual Query Builder, Interactive Layouts, Data Generator and more.
Panda-Sql is a free Sql, Pl Sql editor and browser for Oracle, Mysql, MsSql (sql server) and PostgreSQL databases. This software is opensource, lightweight (6.8MB) and available in French and English. Its use is simple and intuitive.
Databread allows the user to control all of their company data from a single dashboard and connects to all major SaaS products like PostgreSQL, Intercom, Stripe, Google Sheets, your own SQL database or REST API and more.
Queries is a workbench to interact with relational databases, with initial support for Postgres.
DumpCleaner is a native macOS and iPadOS app for filtering large SQL dump files. Instead of grep-ing through gigabytes of SQL, just drag in your .sql or .sql.gz file, select the tables and statement types you need, and export a clean, filtered dump.
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