SeeQL is described as 'See your database in a new way. SeeQL is an easy-to-use desktop application that helps you visualize your database tables (including all foreign and primary key relationships), to quickly generate complex queries' and is an app in the Development category. There are more than 50 alternatives to SeeQL for a variety of platforms, including Windows, Mac, Linux, Online / Web-based and iPhone. The best alternative is DBeaver, which is both free and Open Source. Other great apps like SeeQL are phpMyAdmin (Free, Open Source), DataGrip (Paid), Sequel Pro (Free, Open Source) and Valentina Studio (Freemium).
Log Parser Lizard is a versatile GUI tool that provides query access (using SQL) to text-based data, such as log files, XML files, Event Logs, TSV/CSV text files, as well as databases like MS SQL Server, Google BigQuery, OLEDB (MySQL, Oracele, etc.).
Free visual data modeling inspection tool for most popular one-way reverse-engineered relational databases. With a generic graphical interface, and auto-generated detailed, structural, relationships, simple, graph or topological models.
The MicroOLAP Database Designer for PostgreSQL is an comprehensive CASE tool with intuitive graphical interface allowing you to build a clear and effective database structure visually, see the complete picture (diagram) representing all the tables, references between...
A database modeler can make a developer’s job a lot simpler, as it allows you to design everything visually, which also means less experienced users should also have an easier time, ER/Builder is a data modeler aimed at both novices and experts.
DtSQL is an universal database tools for developers and database administrators to Query, Edit, Browse, and Manage database objects. It can access most databases and can be used on all major operating systems.
SQLVault is the new personal database for the Mac. Build your own database in a few simple clicks Query SQLite & PostgreSQL databases Create Tables / Views / Indexes / Triggers Import & export data Query data using SQL.