dbForge Edge

Name: dbForge Edge — Download page. Multi-database solution
Availability: InStock
Rating: 4 (1 reviews)
Author: Devart

dbForge Edge — Free Download. Multi-database solution

dbForge Edge is a multi-database software environment developed by Devart. This integrated product enables the design, development, administration, and optimization of MySQL, MariaDB, SQL Server, Oracle, PostgreSQL, and SQL Server database systems from a single interface. The tool provides capabilities for writing and debugging SQL queries, comparing and synchronizing schemas and data, as well as importing and exporting information in various formats. Its unified architecture eliminates the need to use multiple specialized applications for different database engines.

★★★★★

4.0(1 ratings)

Download dbForge Edge (Official links)

File size: 471 MB

The latest version of dbForge Edge is: 2025.3.61

Operating system: Windows

Languages: English

Developer: Devart

Price: $0.00 USD

Visual database design. Creation and modification of database structures using ER diagrams. The functionality allows visualizing tables, relationships, keys, and constraints graphically. Generated diagrams can be converted into executable SQL scripts. The reverse process, reverse engineering, reconstructs the diagram from an existing database. This tool documents schemas and facilitates understanding of complex architectures.
SQL coding assistance. The SQL editor includes context-aware code completion, syntax highlighting specific to the database dialect, and real-time error checking. It offers automatic code formatting based on configurable rules and templates for common statements. The refactoring feature allows renaming objects with automatic reference updates in all associated scripts. Step-by-step debugging examines the execution flow and variable values.
Visual query builder. A graphical interface for assembling SELECT, JOIN, WHERE, and GROUP BY statements using drag-and-drop operations. The user selects tables and fields from an exploration pane, defining conditions and groupings in a visual grid. The system translates actions into SQL code, eliminating manual syntax errors. This mode is appropriate for building queries with multiple joins and subqueries without memorizing the exact syntax.
Query analysis and optimization. The visual execution plan shows the operations performed by the database engine: index scans, hash joins, sorts. Each plan node includes performance metrics such as estimated cost, number of rows processed, and I/O usage. The analyzer identifies bottlenecks, such as full table scans or non-SARGable predicates. Recommendations suggest creating missing indexes or rewriting parts of the query.
Schema comparison and synchronization. Detection of differences between structures of two databases: tables, views, stored procedures, functions. The detailed report lists objects that exist only in one source, or that have different definitions. The tool generates a synchronization script to match the target schema to the source one. The script can be executed directly or saved for review. Comparison supports databases on different servers and of different versions.
Data comparison and synchronization. Analysis of disparities in table records between two databases, even across different management systems. The interface shows added, deleted, or modified rows in a grid view. The user selects which changes to apply and in which direction (source to target or vice versa). Synchronization generates a script with INSERT, UPDATE, and DELETE statements. The operation can be configured to ignore certain columns or use custom comparison criteria.
Data editor and management. Direct viewing and modification of records in a spreadsheet-like interface. It allows filtering datasets by complex criteria, sorting by multiple columns, and performing full-text searches. Changes are sent to the database via transactions, ensuring integrity. The master-detail search feature shows related records from other tables in real-time. Mass editing updates thousands of rows with a single operation.
Data import and export. Migration of information between the database and external formats like CSV, JSON, XML, Excel, HTML, and TXT. The import wizard maps columns from the source file to fields of the destination table, with options for basic data transformations. Export allows extracting query results or entire table contents. Automation is achieved through saved templates and the command-line interface (CLI) for execution in scheduled tasks.
Data reporting. Creation of static and dynamic reports from SQL query result sets. The report designer includes elements like tables, charts, images, and calculated fields. Output formats include PDF, Word, Excel, HTML, and rich text. Pivot tables summarize large data volumes through aggregations (sum, average, count). Reports can be scheduled for periodic generation and distribution via email.
Security and user administration. Centralized management of user accounts, roles, and permissions across the supported database systems. It allows creating new logins, assigning object-level privileges (table, view, procedure), and auditing actions. The activity monitor shows active sessions, running queries, and locks. The administrator can terminate problematic sessions and analyze the event history to detect unusual usage patterns or unauthorized access attempts.
Task automation and scheduling. The command-line console (CLI) executes operations such as schema comparison, data synchronization, import/export, and running SQL scripts. This functionality integrates with operating system task schedulers (like Windows Task Scheduler or Linux cron) for periodic maintenance. Project files save complex configurations for reuse. Automation reduces manual intervention in deployment and backup workflows.
Schema version control. Integration with version control systems like Git, Subversion, or Team Foundation Server to manage changes in database definition scripts (DDL). It allows comparing historical versions of a stored procedure or a table. The system records which user made each modification and when. This practice is essential in collaborative development environments and for implementing Continuous Delivery strategies for databases.

The company Devart began developing database tools in the year 2000. The first version of a product in the dbForge family was released in the mid-2000s. dbForge Edge constitutes an evolution of individual studios previously developed for SQL Server, MySQL, Oracle, and PostgreSQL. The project arises from the need to offer a consolidated solution that handles multiple database technologies from a single platform. The software is primarily written in the C# programming language, using Microsoft's .NET framework for the user interface and application logic. The database connectivity components employ native data providers and libraries specific to each managed system. The Devart development team is based in the Czech Republic and includes specialists in relational database management systems.

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