Generic relational database modeling inspection tool. For traditional or enhanced ER models, generated models or diagrams created from scratch, cloned and further customized, rich or simplified.
Model Xtractor Features Summary
|Entity-Relationship Models||customize new or extracted ER database models, in traditional Foot Crow's or IDEF1X notation|
|Enhanced Data Models||explore and customize ER models enhanced with new features and notations (see below)|
|Rich Data Models||collapsed and minimized shapes, expandable relationship items, many-to-many relationships and plenty of other original features you'll find nowhere else|
|Simplified Data Models||simple topologies or graphs, for large numbers of database tables|
|Expandable Relationship Items||relationships are distributed as items on each of the participating shapes; drag them out to simply display as connectors|
|Custom Joins||virtual relationships between tables, without actually changing the database|
|Custom Chains||bypass two or more chained relationships with one single virtual join|
|Custom Aliases||provide your own alternative aliases for any table and column name, without changing the database at all|
|Many-to-Many Relationships||hide intersection tables and show virtual many-to-many connectors between the other shapes|
Traditional Entity-Relationship Models
One-time reverse engineer, to extract information about database tables, views, columns and relationships. Generic support for dozens of relational database platforms, including Oracle, SQL Server, PostgreSQL, MySQL, Azure, Amazon Redshift, SQLite and Firebird. Automatic or manual layout.
Enhanced Data Models
Hide, collapse or minify table/view shapes. Bypass intersection tables and show conceptual many-to-many connectors between shapes. Capture one-to-zero/one relationships. Replace physical data types with short conceptual types (numeric, string, datetime).
Rich Data Models
Customize a large number of rich generated models, such as the Detailed, Structural, or Relationships model here. Save diagram as image or PDF. Highlight shape titles and item names. Combine the reduced but powerful set of diagram options, to generate all sorts of effects.
Simplified Data Models
Customize a large number of simplified generated models, such as the Simple, Topological, or Graph model here. Shapes have been collapsed and rendered transparent. Connectors are straight lines and show no other details. These diagram types outline the degree of connectivity between tables, through relationships.
Expandable Relationship Items
Expand relationships into connectors with simple drag and drop of generated relationship items. Collapse connectors back by simply removing them from the diagram. Move the mouse over connectors, shapes and items, to highlight all related elements.
Easily enhance your model with custom joins, without actually changing the connected database at all! Drag one table column over another to start creating a custom join. Enhance it by dragging another table column over another. Visualize and customize your linked columns.
Built-in chains are automatically created for any many-to-many relationship, bypassing the intersection table. Easily create custom chain relationships, without actually changing the connected database at all! Create the chain from two or more selected connectors. A new derived chain relationship appears here between Customers and Suppliers, to give you all suppliers who delivered the orders for each customer. Relationship Properties shows how individual join conditions of selected connectors propagated to define the new chain.
Provide your own table and column aliases, and relationship names. Alter your diagram views without actually changing the connected database at all! Instant propagation to all your objects, model diagrams and queries.
Data Xtractor includes all the functionality of Model Xtractor, but you can also type, design and run SQL queries, and push their results into regular or inline charts.
As a combination of Visual, Query and Model Xtractor, in Data Xtractor you may also browse data, and add data visualization graphs.