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What is dbForge Studio for PostgreSQL?

dbForge Studio for PostgreSQL, an IDE for developing, designing, and managing PostgreSQL databases, lets you write, run, and debug queries, visually build database objects, and handle data through an intuitive, easy-to-use interface. PostgreSQL versions up to 19 are supported. Main capabilities: AI Assistant Use dbForge AI Assistant to create, correct, and tune SQL queries. Select the AI model you prefer, provide custom instructions, and attach files. SQL Development Context-aware code completion, Parameter Info, Quick Info, and refactoring help you speed up coding and make fewer mistakes. Query Builder Construct simple and complex queries visually on diagrams, no coding required. Visual Object Editors Build and maintain databases and schemas, tables, event triggers, functions, and procedures through visual editors. Table Editor previews the SQL behind each change you make. Debugger Step through stored procedures and functions to locate and fix bugs more quickly. Database Explorer Browse the database object tree, locate any object in PostgreSQL, pull its data, or check its properties. Data Editor Change data in tables and configure the grid, from column width to paginal or auto-search mode. Data Export and Data Import Transfer data in 10+ common formats with advanced settings and templates you can reuse. Query Profiler Spot your slowest queries, examine them, and compare pre-optimization and post-optimization results. Data and Schema Compare Detect differences in data and schemas across PostgreSQL databases and synchronize them. You can also keep tables in sync across PostgreSQL and Redshift. Data Generator Create realistic test data in bulk and see a live preview. Pivot Table Group and summarize data for analysis with charts, advanced filtering, and the visual Pivot Table Designer.

What is actiondesk?

Rather than striving to master a new software application, it’s beneficial to utilize the spreadsheet functions and formulas you already know, like COUNTIF() and SUMIF(). You can easily link two tables without needing SQL by using the LOOKUP() function we provide. By creating pivot tables with your organization’s data, you can significantly enhance your analytical skills. Instead of the tedious process of manually updating or reconstructing reports, opt for data that refreshes automatically to streamline your workflow. You can discover patterns in your data over time, make effective comparisons, and quickly derive insights by adding line, stacked, or pie charts to your reports. Furthermore, explore our widely-used templates to craft dashboards that pull together data from various platforms, giving you a broader perspective on your information. This approach not only helps you to leverage your existing skills but also enables you to produce more visually engaging and informative presentations that can captivate your audience. In doing so, you can create a more impactful narrative with your data, showcasing key insights in a way that resonates with stakeholders.

Media

Media

Integrations Supported

PostgreSQL
dbForge AI Assistant

Integrations Supported

PostgreSQL
Airtable
Amazon Redshift
Close
Endorsal
Google Cloud BigQuery
HubSpot CRM
HubSpot Customer Platform
Intercom
MySQL
Nocode HQ
Pipedrive
SQL Server
Salesforce
Snowflake
Stackreaction
Stripe

API Availability

API Availability

Pricing Information

$89.95
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Online Training

Company Facts

Organization Name

Devart

Date Founded

1997

Company Location

Czech Republic

Company Website

www.devart.com/dbforge/postgresql/studio/

Company Facts

Organization Name

Actiondesk

Date Founded

2017

Company Location

France

Company Website

www.actiondesk.io

Categories and Features

Database

Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Performance Analysis
Queries
Relational Interface

Database Clients

Not specified

SQL IDEs

Not specified

Categories and Features

Integration

Metadata Management
Multiple Data Sources
Web Services

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