Devart Connector for Oracle from Excel

por Devart s.r.o.

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Connect to Oracle Directly from Excel

Connect Excel to Oracle Using Add-In

Devart Excel Add-in for Oracle allows you to connect Microsoft Excel to Oracle, quickly and easily load data from Oracle to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to Oracle. It enables you to work with Oracle data like with usual Excel worksheets, easily perform data cleansing and de-duplication, and apply all the Excel's powerful data processing and analysis capabilities to these data.

Connect to Oracle Directly from Excel

To connect Excel to Oracle you just need to specify the server TNS alias (for connection via Oracle Client) or host, port, and Oracle service ID (for direct connection) and your credentials. Add-in's direct connections don't require Oracle Client installed. In the Advanced parameters, you can configure secure SSH and SSL connections.

Connection information may optionally be stored in the Excel file, or you may reenter it whenever necessary.

Use Query Builder or SQL to Import Data You Need

Visual Query Builder allows you to choose a table to import data from, select the columns from this table and related tables, and set filter conditions and data ordering options visually. If you need to select data more precisely, you can use SQL to select data you need.

Before finally importing data you can preview data and verify the query in a Data Preview window.

Edit Oracle Data Like Usual Excel Spreadsheets

To edit Oracle data in Excel you need just to click the Edit Mode button on the ribbon before editing, and then you can edit data just like you usually do it - add or delete rows, modify cell values, etc. All the changes are highlighted so you can easily see which data is changed.

After you finish editing, simply click Commit to write changes to the database or Rollback to cancel changes.

Instant Data Validation

Devart Excel Add-in for Oracle instantly validates entered data and highlights errors, such as incorrect dates, duplicate primary key values, etc.

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