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What is Sqlectron?

An efficient and easy-to-use SQL client that functions on both desktop and terminal environments, it supports a wide range of databases. The application boasts a simple interface and is specifically designed to be signed and notarized for macOS users. It is compatible with multiple database systems, including PostgreSQL and MySQL, and features a graphical user interface referred to as sqlectron-gui. Users typically do not need to worry about file management, as Sqlectron automatically handles configuration settings for them. Instead of managing pagination directly within SQL queries, Sqlectron takes care of this during the display of results, enhancing user experience. Besides PostgreSQL, it also accommodates databases such as Redshift, MySQL, MariaDB, Microsoft SQL Server, Cassandra, and SQLite. While users can manually modify files if they choose to, leveraging the user interface is usually a more streamlined approach for making adjustments to settings. Ultimately, Sqlectron offers a cohesive and efficient solution for managing databases across various platforms, making it an ideal choice for users seeking simplicity and functionality.

What is PostgreSQL Maestro?

Discover a comprehensive and powerful solution designed for managing, administering, and developing PostgreSQL databases. With remarkable ease, you can browse, create, modify, duplicate, rename, and delete various schema components, including tables, views, functions, and triggers. Enhance your data modeling process by effortlessly establishing tables and relationships through just a few mouse clicks. In addition, you have the option to print diagrams or save them in various graphical formats for future reference. Utilize a wide range of tools that allow you to browse, edit, print, sort, group, and filter your data, featuring master-detail views for improved organization. You can also create graphical diagrams and OLAP cubes to gain better insights into your data. The SQL Editor is feature-rich, offering functionalities such as code completion, code folding, and formatted SQL, with the added convenience of visually constructing queries. Data export options are extensive, supporting 20 of the most widely used file formats, while importing data from sources like Excel, CSV, and XML is also streamlined. To ensure your server's safety and security, take advantage of the robust tools provided by PostgreSQL Maestro. Furthermore, you can easily split denormalized tables, generate DML procedures or updatable views, and verify nullable columns, making your database management tasks more efficient and user-friendly. This tool empowers users to maximize their productivity and streamline their workflow, ultimately leading to a more organized and effective database environment.

Media

Media

Integrations Supported

MySQL
PostgreSQL
Amazon Redshift
Apache Cassandra
Digna
IBM Cloud Databases
MariaDB
Microsoft 365
Microsoft Excel
NoSQL
Oracle Database
PHP
SQL Server
SQLite
XML

Integrations Supported

MySQL
PostgreSQL
Amazon Redshift
Apache Cassandra
Digna
IBM Cloud Databases
MariaDB
Microsoft 365
Microsoft Excel
NoSQL
Oracle Database
PHP
SQL Server
SQLite
XML

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$99 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sqlectron

Company Website

sqlectron.github.io

Company Facts

Organization Name

SQL Maestro

Date Founded

2002

Company Location

United States

Company Website

www.sqlmaestro.com/products/postgresql/maestro/

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