DBConvert for MS Access and PostgreSQL with added Microsoft Access queries conversion feature

Posted on 2010-11-18

Since recently queries conversion became one of the most demanded features for competing migration tools. Considering current users’ inquiries it started implementation of a parsing unit that can process Access queries into views. Staking on Access queries migration DBConvert chooses the products developing into quality side, the products with enhanced functionality whereas earlier the whole

product line was constantly grown.

  1. Right now, meet and be acquainted with improved DBConvert tools enriched with Access queries conversion parser!

  2. DBConvert for Access and PostgreSQL


Do you want to know more about how it works? You are welcome to visit our site at:


Here you will find supported query types description and the visual presentation of conversion process including queries handling.

  1. Very frequently users ask how to process large tables with millions of rows not rising memory level and how DBConvert handle it. Working on efficiency of the converters we couldn’t miss this opportunity to bring our users pleasure. ‘Bulk insert’ and ‘Quantization’ options were implemented in addition to Filtering we recommended for such cases before.

‘Quantization’ option serves for splitting the whole record set into portions. Method is good for rational memory usage but can take more time than usual conversion does.

‘Bulk insert’ option is quite good if you are pressed for time. It is faster than quantization in times but this method uses the same size of memory as conversion with default configuration does.

Also it is important to emphasize that ‘Quantization’ + ‘Filter’ and ‘Bulk insert’ + ‘Filter’ combinations give more evident positive effect.

To get more detailed information and instructions about DBConvert tools including instructions about how to convert Access queries, or to send your comments, contact us

by e-mail


by Skype ID


You are always welcome!

This post has been migrated from a previous version of the PostgreSQL website. We apologise for any formatting issues caused by the migration.