ScreenshotsScreenshots

Supported OS'es
 
DbVisualizer runs smoothly on the Windows platform, here with the Windows look and feel
DbVisualizer on Windows
DbVisualizer on Mac OS X with the Aqua look and feel
DbVisualizer on Mac OS X
DbVisualizer on Linux/UNIX with the Metal cross platform look and feel
DbVisualizer on Linux/UNIX


Connection Management
 
Defining a database connection is a simple task using the Connection Wizard in DbVisualizer. In the wizard, choose what database you are connecting to, information about the JDBC driver and finally the details about the database server and user credentials. An alternative to the wizard is to setup the connection manually via the Server Info and Database URL forms in the Connection tab.
Connection Wizard
Along with the Connection Wizard is the Server Info the preferred methods to manage connection details. It presents the various parameters in a form that adapt the choices based on your input. The screen image also show the SSH fields.
Connection setup using Server Info and SSH
The conventional JDBC setup is used for databases with no pre-defined Server Info.
Connection setup using Database URL

Connection Details with Variables
 

Connection Properties

JDBC Driver Manager


Database Browser
 
The database browser in DbVisualizer is the place where you navigate the structure of objects available in the database server. The information in the tree depends on what database is being accessed.
Database Browser when connected to a Oracle DB
Every object (node) in the tree has an accompanying right-click menu with actions specifically for that object. What actions are available depends on the object type but are typically used to create, alter, rename and remove objects of that type.
Right click menu actions for a table in Oracle
You may search the database based on object names
Database Search
When you select an object in the Database Browser, you see a number of tabs in the Object Details pane to the right. What is displayed here depends on what database you are accessing and the type of object you select.
Table Object Details
 
Selecting the top level Connection row will show an overview of all connections and their connection details.
Connections overview


Table
 
The Create Table feature is used to specify the definition of a database table in terms of columns, keys, indexes, foreign keys, constraints, etc. This screenshot show the Columns information with the instant SQL Previewer visible.
Create Table
Specify foreign keys to other tables
Define Foreign Keys
The alter table feature enables visual editing of the table structure. This screenshot also shows the SQL Preview area. This is the SQL that DbVisualizer will run when Execute is pressed.
Alter Table
The create index table action is used to create non-unique and unique indexes.
Create Index
 
The CREATE TABLE DDL can be browsed.
Browse Table DDL


Procedure, Function, Package and Trigger
 
This screenshot show the action used to create a stored procedure in a SQL Server database.
Create Procedure
Click a procedure in the database browser and the Procedure Editor is activated in the object details pane.
Edit Procedure
Clicking Execute in the Procedure Editor executes the procedure in the SQL Commander and prompts for IN/INOUT parameters. The return value and OUT/INOUT parameter values are written to the log.
Execute Procedure
The Create Trigger action dialog lets you visually define a new trigger
Create Trigger


Export Schema/Database
 
Exporting in CSV format allows export of table data only.
Export Database in CSV
Exporting in HTML format allows export of table data only.
Export Database in HTML
Exporting in SQL format supports export of the DDLs and table data. The output is SQL statements that can be re-executed in DbVisualizer or in a 3:rd party tool.
Export Database in SQL
Exporting in XML format allows export of DDLs and table data.
Export Database in XML
 
Exporting in XLS/XLSX format allows export of table data only. XLS is the old binary format for XLS while the XLSX format is the XML based OOXML format.
Export Database in XLS/XLSX


References Graphs
 
This screenshot shows the references for all tables in the MS SQL Server, AdventureWorks database.
Graph All Tables in a Database
The zooming functionality makes it easy navigating the graph. The overview pane to the right show the graph in a bird eye perspective and what area is currently viewed in the graph pane.
Zooming Support
The zooming functionality is used to navigate the graph. The overview pane to the right show the graph in a bird eye perspective and what area is currently viewed in the graph pane.
Show Full Table Details


Table Data Viewer/Editor
 
The inline data editor is a spreadsheet-like editor. Just open a table and modify the data you want. Modified cells are indicated to represent the type of edit. You may paste information into a multi row/cell selection and the pasted data will update the corresponding cells. Once you're ready, all changes are propagated to the database table in a single transaction. In addition you may sort one or several columns, filter the data being presented and a lot more.
Grid Table Data Editor
The form data editor is useful when editing a row that is either composed of many columns and/or some fields contain much data. The data for a row is presented in a form with the column name to the left and the actual data in the right area. To launch the form editor, either select Edit in Form or double click the row header. The form editor is also used to visualize binary data such as images, XML, etc.
Form Table Data Editor
Open the SQL preview to browse what SQLs will be executed once saving the edits.
Preview Final SQL


Table Export
 

Export Table
There are a number of options to control data formats and other details of the export result.
Configure Data Formats, Quoting, etc.


Table Data Import
 
The file viewer show the file as it look on disk. This is useful to check what delimiters are being used, quotes, column header, etc.
Raw File Viewer
The import feature tries to auto detect what column separators being used. This can be manually overidden along with settings to control if text data is enclosed in quotes, if empty rows should be ignored and if there is a column header row.
Data Delimiters and File Configuration
Data types are automatically recognized when the file is loaded. To change this click the first row cell and choose the appropriate type from the list.
Data Type Setup
Columns in the file are automatically mapped to columns in the table, based on either the name or the index. You can also map the columns manually.
Import Column Mapping
 
A new table can be created for the imported data. The data type for each column is determined automatically from the data and the specific types supported by the database. You can adjust the types manually.
Import to a new table


Data Navigator
 
The navigator starts at the current table. The diagram at the top shows the checked tables and their relationships. The lower grid shows the actual data that is referenced by the primary/foreign key mappings. Select the data in the grid and what constraint to follow in the "Related Table" drop down and the navigator will render the referenced table in the diagram. The linked data is displayed in the grid. You may jump back and forth by selecting table nodes in the diagram. Nodes may be tagged with information from the table data to make it easier to recognize them.
The Table Data Navigator


SQL Editor
 
The SQL Editor supports auto completion which is an aid used to complete sentences with either table or column names. Specify the beginning of a table name and then press Ctrl+SPACE to show a list of matching names. The screenshot show 3 select statements and their respective result as grid tabs in the lower part.
SQL Editor with Auto Completion and result sets in Grid format
A result set displayed with the Text output format.
Execution of selected SQL with result set in fixed width Text format
Any result set may be presented as a chart. There are several options to control the appearance and these are preserved for new result sets when running more select statements.
Result set in Chart format
The data in a result set may be edited via the inline or form editors, as long as certain conditions are fulfilled.
Edit result set either inline or in the form editor
 
Enter variables in the script and DbVisualizer will prompt for real values at execute. The variable window remembers previously used values and is useful if running the same SQL only with minor differences between the runs.
Variables in the SQL


Query Builder
 
The query builder is a very useful feature used to build SQL select statements graphically. Pick tables in the database browser and drag them into the query builder diagram area. Then draw lines between columns in one table node and attach to columns in another table node. These lines represent the joins in the generated SQL. The tabs below the diagram area are used to specify any COLUMNS, WHERE, ORDER BY and GROUP BY clauses.
Table Diagram and Join Properties
In addition to the previous screenshot the query builder supports loading an existing SQL statement so that it can be edited in the query builder.
Column Select list
Once you are satisfied with the query, just pass it on to the SQL Commander for test execution. If you need to make any refinements just switch to the query builder and continue editing the query.
Generated and test SQL


Explain Plan
 
The explain plan feature presents detailed information about how a specific SELECT statement will be processed by the database. The plan data gives a lot of information and is a great tool for improving select statement performance. This screenshot show the plan data in a multi-column list. The explain plan feature is supported for Oracle, DB2 for LUW, SQL Server and Mimer SQL.
Explain Plan as a Tree List
The explain plan feature presents detailed information about how a specific SELECT statement will be processed by the database. The plan data gives a lot of information and is a great tool for improving select statement performance. This screenshot show the plan data as a tree. The explain plan feature is supported for Oracle, DB2 for LUW, SQL Server and Mimer SQL.
Explain Plan as a Graph


SQL History
 
Previously executed statements and scripts can be located and executed again from the SQL History window.
SQL History window
Filtering by meta data for each entry and in the full script content.
Filtering the SQL History


SQL Bookmarks
 
The bookmark container in the Scripts tab. Double click a SQL entry to load it in the SQL editor.
Bookmarks in the Scripts tab


Charts
 
A result set presented in a line chart.
Result Set as Line Chart
Result set as a stacked bar chart. Regular bar chart is also supported.
Result Set as Stacked Bar Chart
The pie chart visualize a single serie (column).
Result Set as Pie
Result set as a stacked area. Regular area chart is also supported.
Result Set as Stacked Area
 
The configuration options for charts. Here you can define the appearance of the chart, titles and labels for the series as they will appear in the legend.
Chart Configuration Options


Favorites
 
Clicking an item in the Favorites Toolbar opens the corresponding Database Object node in the database browser or loads the Bookmark script in the SQL Commander.
Favorites Toolbar
To add a database object as a favorite either drag the object to the wanted position in the favorite toolbar or into the Favorites Editor window.
Drag Database Object to Favorites toolbar
Add a bookmark script file by dragging to the wanted position in the favorite toolbar or into the Favorites Editor window.
Drag Script to Favorites toolbar
The Favorites Editor is used to organize and open favorite objects. Use drag and drop to move favorites to the wanted position.
Favorites Editor


Monitor
 
The monitor tool is used to periodically execute select statements and present the result in various formats. The chart format is really useful as it in combination with the monitor feature, can present a number of live charts based on real-time data.
The Monitor Tool


Result Set Management
 
Here are two columns, "Type (DB)" and "Size" sorted in ascending order. To sort one column, just click the column header. One click will sort the column in ascending order. Click again and it will be sorted in the reverse order, and a third click will reset to the original ordering. To sort the grid based on more than one column, keep the Ctrl key (Command on Mac OS X) pressed while clicking the column headers. <br> The screenshot also shows filtering of the "Name" column. All matches in the grid are highlighted with yellow color.
Grid with multi-column sorting and filtering
The right click menu lists all actions that may be performed on the grid and its data. Note that some actions are context sensitive and may be disabled.
Grid right-click menu choices
The "Browse Row in Window" action shows the selected row in a separate window. The data is presented in a form with the leftmost column in the original grid being presented at the top. <br> The form window is also a grid with the same capabilities as the grid component.
Row Form Window
Sometimes it is convenient to select some data and show various statistics such as telling max, min, avg, sum, etc. The right-click menu choice "Aggregate Data for Selection" is used for this.
Aggregation Data for Selection
 
The export functionality is used to export the content of any grid to a file. The output can be written in CSV, HTML, SQL, XML, MS Excel format. Data formats can be specified and test data can be generated with the builtin data generators. The export functionality can also be used in the SQL Commander, which is very useful when exporting large result sets directly to file without first presenting them in DbVisualizer.
The Export feature


Configurable
 
The key binding support in DbVisualizer is extensive as it supports setting key bindings for lots of operations. There are pre-defined key maps specifically for Windows, Linux/UNIX and Mac OS X users. This is really important for key bindings such as those used for editing since these key strokes are different in each OS. In addition there are key maps for users coming from other database tools such as TOAD and SQL Server's Query Analyzer.
Key Bindings
Control the individual coloring for the syntax highlighting in the SQL editor.
SQL Editor Colors
There are many settings used to control the appearance and behavior of DbVisualizer. One great feature is to set connection mode for a database connection. It can be set to one of Development (default), Test or Production. A border indicates the current mode for the connection. The connection mode is also used in combination with the permission subsystem to control what commands need attention, are accepted or are denied for execution.
Connection Mode
The grid colors can be defined so that every second row is presented in an alternate color.
Grid Colors
 
The permission feature simply controls every action and SQL that are about to be executed. The permission is set per individual SQL statements executed in the SQL Commander, such as DELETE, DROP, UPDATE, etc. The response can be any of "Allow", "Ask" or "Deny". Permissions are also available when editing in the table data editor. Permissions can be defined for Insert, Update or Delete operations. The response for each command is any of "Confirm" or "No Confirm". Permissions are grouped based on the connection modes, "Development", "Test" and "Production".
Permission Control


Command Line Interface
 
Using the command line interface, you can connect to a database and execute a single SQL statement or a script, with various options.
Command Line options

Recent NewsRecent News

2012-04-30

DbVisualizer 8.0.9.
The latest maintenance version

2011-06-16

DbVisualizer 8.0. New major version including more than 100 improvements!

 

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