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Average Ratings 0 Ratings
Description
Experience a comprehensive and robust tool for managing, administering, and developing databases specifically for PostgreSQL. Effortlessly browse, create, modify, duplicate, rename, and remove various schema elements such as tables, views, functions, and triggers with remarkable ease. Streamline your data modeling efforts by establishing tables and relationships with just a few clicks of your mouse. You can also print diagrams or save them in multiple graphical file formats for further use. Utilize an expansive array of tools to browse, edit, print, sort, group, and filter your data, including master-detail views for enhanced organization. Develop graphical diagrams and OLAP cubes to visualize your data more effectively. Take advantage of a feature-rich SQL Editor equipped with code completion, code folding, and formatted SQL, or construct your queries visually for added convenience. Data export capabilities extend to 20 of the most commonly used file formats, while you can also import data from sources such as Excel, CSV, and XML. Ensure the safety and security of your server by utilizing the powerful tools offered by PostgreSQL Maestro. Moreover, effortlessly split denormalized tables, generate DML procedures or updatable views, and verify nullable columns, all with just a few simple clicks for a more efficient database management experience.
Description
SQL Workbench/J is a versatile and free SQL query tool that operates independently of any specific database management system and is compatible with various operating systems due to its Java foundation. It is designed to execute SQL scripts, whether interactively or in batch mode, while also offering robust import and export functionalities. Although it does not prioritize graphical query building or complex database administration tasks, it includes a powerful export command that allows users to generate text files, XML, HTML, or SQL formats, including support for BLOB data. Users can easily export all tables from a database to a designated directory using a single command, and the export files can be compressed during the process. The tool also supports efficient import of text, XML, and spreadsheet files, enabling users to bring in sets of files, including compressed versions, from a directory with one command. Additionally, it intelligently detects foreign key constraints to ensure proper data insertion order. Users can also compare two database schemas to identify differences, and the tool provides the capability to convert XML output into the appropriate SQL ALTER statements using XSLT, enhancing its functionality even further. Overall, SQL Workbench/J serves as a comprehensive solution for users seeking a straightforward approach to managing SQL queries across various platforms.
API Access
Has API
API Access
Has API
Integrations
Digna
IBM Cloud Databases
Microsoft 365
Microsoft Excel
MySQL
Oracle Database
PHP
PostgreSQL
QueryPie
XML
Integrations
Digna
IBM Cloud Databases
Microsoft 365
Microsoft Excel
MySQL
Oracle Database
PHP
PostgreSQL
QueryPie
XML
Pricing Details
$99 one-time payment
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
SQL Maestro
Founded
2002
Country
United States
Website
www.sqlmaestro.com/products/postgresql/maestro/
Vendor Details
Company Name
SQL Workbench
Founded
2020
Website
www.sql-workbench.eu/
Product Features
Product Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization