PostgreSQL to Microsoft Access Migration.

 DBConvert for Access & PostgreSQL

Version: 4.3.5

Release Date: Nov. 11, 2016

Conversion directions:

  • Access → PostgreSQL, Dump, PHP Script
  • PostgreSQL → Access
  • Access ↔ Amazon RDS ↔ Heroku Postgres
  • MS Access queries → PostgreSQL views
 DBSync for Access & PostgreSQL

Version: 4.1.9

Release Date: Nov. 11, 2016

Synchronization directions:

  • MS Access ↔ PostgreSQL
  • Access ↔ Amazon RDS ↔ Heroku Postgres

Our DBConvert/DBSync cross database migration/sync solutions support data transfer from PostgreSQL to Microsoft Access.

Our software is option rich, making all your data exchange jobs between PostgreSQL / Amazon RDS PostgreSQL / Heroku Postgres and Access both fast and fully customized to your needs.

You can specify whether or not to include tables, fields and indices, change data types, and choose subsets of schema objects to migrate.

Integrated Data filters allow extracting specified data only and passing them to target databases smoothly.

PostgreSQL as a server database is used for storing consolidated data in one place on a daily, weekly or monthly basis. But sometimes if there is no way to share this data through the web or the task is rather to provide partial data as per user requirements at a specific time. Using MS Access databases as an intermediate storage node for your clients could be a fitting solution.

Product Highlights

Interface languages

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Product Requirements

  • Access 2000 or higher. Both Access 32/64 versions are supported
  • Microsoft Visual C++ 2008 x86 Redistributable package
  • Necessary privileges to write into database on the target PostgreSQL server (this requirement is optional as there is an option to overcome the restrictions using dump file or PHP Script)

Latest News

  • SSL technique for encrypted data conversion support
  • Heroku Postgres support
  • Amazon RDS PostgreSQL as a source or target DB
  • MS Access 64 bit databases support.
  • Queries conversion improvements.
    Now MS Access queries are converted more productively.
  • Large databases stable transferring: 500 thousand records can be converted/synchronized in 5-7 min.