Browse database data

Relational Data Browse - how does it work ?
Explore Database Data
Relational Data Browse is a simple and efficient way to view data from multiple related tables at a time, using only the mouse. In this example, there are three tables ( BOOKS, BOOKS_OUT_ON_LOAN and USERS ) each with one Browse Window. Between the Browse Windows are drawn the relating Foreign Keys ( with arrows ). The records which are displayed in the BOOKS_OUT_ON_LOAN relates to the current record from BOOK, and the records from USERS to the current one from BOOKS_OUT_ON_LOAN. Using the bottom buttons or by clicking an cell you can navigate between records. The child Browse Windows will be refreshed too.
Filter and order data
Filter explored database data To restrict the displayed records to the one which fullfills a given criteria, set column or table filters. They are similar with the WHERE clause used in the SQL statements. The filters dialog is available from the column pop-up menu.
Browse settings dialog From the Browse Settings dialog you can set table related filters ( with complexer filter clause ) or ordering over multiple columns.
Insert, update or delete data
Insert or update records in Browse Dialog You can edit any data cell from the tables which has a Primary Key or Unique index. Double-click an cell to edit it. From the Browse Window menu you can choose to insert, delete or update a record.
You have a great product! The Browse feature is terrific!

Brian Beitzel, College professor

Our company works for the national telephony company with extreme large databases. Using DbSchema we succeed to document and interact better with them. For all synchronization and migration issues we use your tool. We love them all, the layouts, browse and the sql. Nice work!

Santos Mariano, Database expert

"Using DbSchema we improved our database design. We managed to work in team on this task. The result was a two times faster database."

Darcu Macclain, System Architect

"Relational Data Browse is the most efficient way of viewing data. In the last time I spent significant less time typing queries, and I did my job much faster."

Stephan Collar, Developer

I like this integrated work environment. Diagrams in the background are great. For a database is very important how the tables are interconnected, and the diagrams are the best for viewing this. Besides, the Relational Data Browse is very close to the diagrams. And very intuitive, simple and fast to use.

Marian Popescu