Access to PostgreSQL Sync synchronizes and converts data from MS Access to PostgreSQL server databases and from PostgreSQL to Access with synchronization. It helps to keep your databases up-to-date when moving to PostgreSQL. Features are data export\import, database synchronization, high-speed synchronization via command line and GUI, built-in scheduler. This data synchronization tool allows you to convert foreign keys, indexes and Primary keys.
DBSync for MS Access & PostgreSQL is an efficient converter which performs easy conversion and synchronization between MS Access (mdb) and PostgreSQL databases. Scheduler gives you an opportunity to run DBSync for MS Access & PostgreSQL program on a user defined schedule that means that you can run programs without user input after having scheduled it once. DBSync for MS Access & PostgreSQL supports Unicode that allows you to make language special symbols displayed correctly. Improved usability, brand new design and changeable skins are supplemented with Multilanguage support. DBSync for MS Access & PostgreSQL converts Primary keys, Indexes and foreign keys (relationships). Renaming fields, indexes before synchronization is also available. Detection of possible conversion errors at customization stage greatly facilitate configuring of the conversion settings. Sessions support allows you to save all your settings and restore them afterwards. DBSync for MS Access & PostgreSQL provides high speed of synchronization that noticeably exceeds average showing in this category. One of the key things of database managing is the ability to filter data during conversion. Integrated data filters allow users to retrieve only specific data for converted tables according to defined filtering criterias (conditions). Filters give you more control on data migration process.
Navicat (PostgreSQL GUI - supports Access to Postg
Transfer tables between Access and PostgreSQL.
Transfer tables between Access databases.
Transfer tables to and from PostgreSQL / ASE
Transfer tables between MS SQL and PostgreSQL.