PostgreSQL
FoxPro

PostgreSQL to FoxPro / DBF Converter

Export PostgreSQL-compatible data into a Visual FoxPro .dbc database or standalone DBF tables with field mapping, saved sessions, and optional DBSync.

PostgreSQL → FoxPro migration usually means exporting selected PostgreSQL tables into a Visual FoxPro .dbc database or a folder of standalone DBF tables for a legacy desktop system.

DBConvert handles the table-level export: it reads PostgreSQL, Amazon RDS / Aurora for PostgreSQL, Azure Database for PostgreSQL, Google Cloud SQL for PostgreSQL, or Supabase; maps PostgreSQL types to DBF/FoxPro fields; writes rows; and can save the job for repeated exports. The review work is in DBF field limits, memo files, code pages, generated keys, deleted-row behavior, and PostgreSQL SQL that FoxPro cannot run.

What DBConvert does on this path: handles PostgreSQL → DBF/FoxPro as a repeatable desktop workflow:

  • Reads local PostgreSQL and managed PostgreSQL sources including RDS / Aurora, Azure Database for PostgreSQL, Google Cloud SQL, and Supabase.
  • Writes Visual FoxPro .dbc databases or standalone DBF table folders.
  • Maps tables, fields, indexes, primary keys, and supported views with type-mapping review.
  • Saves the job as a rerunnable session; DBSync keeps PostgreSQL and DBF/FoxPro aligned for recurring exchange.

What it does not do: PostgreSQL functions, triggers, rules, extensions, grants, and application SQL are not translated into FoxPro forms, reports, menus, .prg programs, or desktop business logic.

Which tool: DBConvert or DBSync?

DBConvert for PostgreSQL → DBF/FoxPro

One-time export or repeatable test loads. Use it when a legacy DBF/FoxPro system needs a PostgreSQL table copy with field mapping and saved settings.

DBSync for PostgreSQL ↔ DBF/FoxPro

Recurring exchange. Use it when PostgreSQL remains active and the DBF/FoxPro side needs periodic inserts, updates, or deletes. Review synchronization concepts.

Need more context? Compare DBConvert and DBSync side by side →

How DBConvert handles the PostgreSQL → DBF/FoxPro differences

DBConvert handles source connection, object selection, field mapping, DBF/FoxPro output, transfer, and validation. PostgreSQL server-side logic and FoxPro application design remain separate work.

Target shape

Choose a Visual FoxPro .dbc target or standalone DBF tables. Memo fields need companion files such as .fpt in the output folder.

Field limits

PostgreSQL text, jsonb, arrays, long identifiers, and wide numeric values need DBF/FoxPro storage choices before the export is trusted.

Code pages

PostgreSQL UTF8 text must be written with a DBF code page policy. Test accented names, long notes, and symbols before using the DBF files in a legacy application.

Generated values

PostgreSQL identities and sequences need a FoxPro AutoInc or numeric-field policy. Confirm next values if the DBF side will continue accepting inserts.

Application logic boundary

DBConvert migrates tables, fields, supported views, indexes, and keys. PostgreSQL functions, triggers, rules, extensions, and application SQL are not converted into FoxPro application objects or .prg code.

Type mapping checkpoints

PostgreSQL DBF / FoxPro Notes
integer, bigint Integer / Numeric Check DBF numeric width and sign.
numeric(p,s) Numeric / Currency Review precision and scale before legacy reports use the export.
varchar, text Character / Memo Long text should use memo output with companion files.
timestamp, date DateTime / Date Review timezone and blank-date expectations in the legacy app.
boolean Logical Check nulls if the DBF side expects only true / false.
jsonb, arrays, bytea, UUIDs Memo / Character / General policy These are not native DBF equivalents; sample real values.

Choosing the PostgreSQL → DBF/FoxPro route

This is usually a compatibility export, so choose the route by repeatability, file-shape control, and whether sync is needed.

Route Where it fits Where it falls short
DBConvert / DBSync You need a GUI export, DBF/FoxPro output, saved settings, filters, type mapping review, or recurring synchronization. PostgreSQL code and FoxPro application objects remain separate work.
CSV export and DBF import A few flat tables need to be copied once into a legacy tool. You lose schema metadata, DBF field policy, indexes, memo handling, and repeatability unless scripted separately.
Custom ETL DBF is only one output of a larger export or data-exchange pipeline. You own driver setup, code pages, field limits, retries, validation, and sync behavior.

Supported versions

  • PostgreSQL 8.x through 17.x
  • Amazon RDS / Aurora for PostgreSQL, Azure Database for PostgreSQL, Google Cloud SQL, Supabase
  • PostgreSQL schemas (public, custom schemas)
  • Visual FoxPro .dbc databases and standalone DBF tables
  • Free tables (DBF without .dbc container) and Memo (.fpt) files

Supported in this path

Source PostgreSQL
Target FoxPro
PostgreSQL Amazon RDS / Aurora for PostgreSQL Azure Database for PostgreSQL Google Cloud SQL for PostgreSQL Supabase Visual FoxPro DBF / dBase free tables Clipper / XBase DBF
PostgreSQL

All PostgreSQL Tools

Other directions and pairs
FoxPro

All FoxPro Tools

Migration & sync options

Reverse Conversion

FoxPro to PostgreSQL

Using PostgreSQL to FoxPro Tools

When launching the DBConvert or DBSync application in GUI mode, it guides you through the steps to start database migration or synchronization:

1

Connect to PostgreSQL source database

Specify the username/password and host/port parameters if your source database requires login credentials.

Connect to PostgreSQL source database from DBConvert

PostgreSQL source

Read from self-hosted PostgreSQL, Amazon RDS / Aurora for PostgreSQL, Azure Database for PostgreSQL, or Google Cloud SQL.

2

Connect to FoxPro destination database

Specify parameters for the destination database similar to the source, defining connection settings and username/password pairs.

Connect to FoxPro target database from DBConvert

FoxPro target

Write to a Visual FoxPro .dbc database or a folder of free DBF tables.

More guides for PostgreSQL ↔ FoxPro

Next steps: configure, validate, run

After connecting source and target, the remaining steps are the same for every database pair:

  • Configure migration options - pick tables, fields, indices, views.
  • Issue detection - the built-in checker flags integrity problems before migration starts.
  • Execute - commit the job, monitor progress, save the session for reuse.
  • Schedule and CLI - rerun saved sessions on a schedule or from the command line.
Open the full guide

Steps 3-5, software features, command-line mode, scheduler, and system requirements.

See all features