PostgreSQL
Oracle

PostgreSQL to Oracle Converter

Move PostgreSQL-compatible data into Oracle Database, Oracle XE, Oracle Cloud, or Amazon RDS for Oracle with type-mapping review, saved sessions, and optional DBSync.

PostgreSQL → Oracle migration is a heterogeneous move into an Oracle schema. There is no simple Oracle-native PostgreSQL import wizard that covers the full schema, data, and PL/pgSQL conversion problem end to end.

DBConvert fits when the migration needs a guided desktop workflow: PostgreSQL tables, fields, indexes, primary keys, foreign keys, supported views, type mapping, row transfer, saved sessions, and optional synchronization with DBSync. The engineering review is in PostgreSQL-only types, identifier case, sequences, arrays, JSON, timestamp semantics, PL/pgSQL, and application SQL.

What DBConvert does on this path: handles PostgreSQL → Oracle as a repeatable migration workflow:

  • Reads PostgreSQL, Amazon RDS / Aurora for PostgreSQL, Azure Database for PostgreSQL, Google Cloud SQL for PostgreSQL, and Supabase sources.
  • Writes to Oracle Database, Oracle Database XE, Oracle Cloud, or Amazon RDS for Oracle through Oracle client / OCI settings.
  • Creates Oracle-compatible tables and moves rows, indexes, relationships, and supported view definitions with type-mapping review.
  • Saves sessions for repeated test loads; DBSync keeps both databases aligned during a staged cutover.

What it does not do: DBConvert does not rewrite PL/pgSQL functions, triggers, rules, PostgreSQL extensions, grants, row-level security, or application SQL into Oracle PL/SQL.

Which tool: DBConvert or DBSync?

DBConvert for PostgreSQL → Oracle

One-time migration or repeatable test loads. Use it when Oracle is becoming the target database and you need PostgreSQL schema objects, table data, indexes, relationships, and supported views moved through a desktop wizard.

DBSync for PostgreSQL ↔ Oracle

Staged cutover or recurring synchronization. Use it when PostgreSQL must keep running while Oracle is populated, tested, or gradually becomes the system of record. Review synchronization concepts.

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

How DBConvert handles the PostgreSQL → Oracle differences

DBConvert handles the table-level migration in the wizard: connection, schema selection, type mapping, indexes, supported views, transfer, and validation. PostgreSQL procedural code and application SQL remain a separate rewrite track.

Connection and schema

DBConvert reads PostgreSQL-compatible schemas from local, hosted, and cloud sources and writes selected objects into the Oracle target schema.

Type mapping review

PostgreSQL integers, numeric, text, bytea, timestamps, UUIDs, arrays, JSON, enums, domains, and extension types need Oracle-compatible storage choices.

Sequences and identities

PostgreSQL serial, bigserial, identity columns, and standalone sequences need an Oracle identity or sequence policy. Confirm next values after import.

Identifier case

PostgreSQL folds unquoted names to lower case. Oracle folds unquoted names to upper case. Quoted mixed-case names need a deliberate naming policy before application testing starts.

Date and timestamp edge cases

PostgreSQL infinity timestamp values and timestamptz assumptions are not Oracle defaults. Normalize sentinel dates and timezone behavior before cutover.

Procedural code boundary

DBConvert migrates tables, supported views, indexes, and foreign keys. PL/pgSQL functions, triggers, rules, extensions, grants, row-level security, and application SQL are rewritten manually in PL/SQL or the new application layer.

Type mapping checkpoints

PostgreSQL source type Oracle target type Migration note
integer, bigint NUMBER Choose precision deliberately for key and counter columns.
numeric(p,s) NUMBER(p,s) Keep declared precision and scale for finance columns.
varchar, text VARCHAR2, CLOB Review large-text policy and Oracle character semantics.
bytea BLOB Sample binary payloads after load.
timestamp, timestamptz TIMESTAMP / TIMESTAMP WITH TIME ZONE Normalize PostgreSQL infinity values and timezone assumptions.
uuid RAW(16) or VARCHAR2(36) Choose based on application and reporting expectations.
jsonb, arrays, enums, ranges, domains CLOB, JSON policy, lookup tables, or normalized tables These are not one-to-one Oracle equivalents; test real queries.

Choosing the PostgreSQL → Oracle route

AI and SERP results split this path into desktop migration, SQL/code conversion, manual bulk load, database-link transfer, and CDC replication. The right route depends on downtime, procedural code, and how much mapping control you need.

Route Where it fits Where it falls short
DBConvert / DBSync desktop migration and synchronization You need a GUI workflow, saved sessions, table selection, type mapping review, direct Oracle output, or staged synchronization. PL/pgSQL, triggers, PostgreSQL extensions, grants, and application SQL still need a separate rewrite and test cycle.
SQLines / Ispirer-style code conversion SQL and procedural conversion The hard part is PostgreSQL DDL, PL/pgSQL, functions, triggers, and SQL scripts that need Oracle syntax. Code conversion does not replace data movement, validation, and cutover planning.
CSV export + SQL*Loader / SQL Developer import manual offline bulk load Small or controlled migrations where engineers can pause writes, export with PostgreSQL COPY, and load prebuilt Oracle tables. You own Oracle DDL, type mapping, loader control files, error handling, and validation.
Oracle Database Gateway for ODBC Oracle database link to PostgreSQL Oracle should pull data through an ODBC gateway and database link into existing Oracle tables. Gateway setup is infrastructure-heavy and does not solve schema conversion or PL/pgSQL rewrite.
Oracle GoldenGate / CDC replication low-downtime enterprise route A production PostgreSQL database must keep writing while Oracle is loaded and synchronized until cutover. Heavier licensing, setup, and operations than a desktop migration; schema and code conversion still need separate work.

Oracle target planning checklist

Lock down these choices before the final PostgreSQL export.

Target schema and naming

Decide whether PostgreSQL lower-case names become Oracle upper-case names, quoted identifiers, or a new naming convention.

Sequences and generated values

Confirm identity/sequence policy and validate next values after the first full load.

Special PostgreSQL values

Sample arrays, JSON, UUIDs, bytea, long text, timestamptz, and infinity timestamp values.

Validation and cutover

Compare row counts, key aggregates, invalid Oracle objects, application query behavior, and write-path tests before switching production traffic.

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)
  • Oracle 10g and later, including Oracle XE and Oracle Cloud
  • No Oracle client or ODBC driver required

Supported in this path

Source PostgreSQL
Target Oracle
PostgreSQL Amazon RDS / Aurora for PostgreSQL Azure Database for PostgreSQL Google Cloud SQL for PostgreSQL Supabase Oracle Database Oracle Database XE Oracle Cloud Amazon RDS for Oracle
PostgreSQL

All PostgreSQL Tools

Other directions and pairs
Oracle

All Oracle Tools

Migration & sync options

Reverse Conversion

Oracle to PostgreSQL

Using PostgreSQL to Oracle 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 Oracle destination database

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

Connect to Oracle target database from DBConvert

Oracle target

Configure the Oracle target with the Oracle connection settings. For client, NLS, or authentication errors, use the Oracle troubleshooting guide.

More guides for PostgreSQL ↔ Oracle

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