SQL Server
Oracle

SQL Server to Oracle Converter

Move SQL Server tables, indexes, relationships, and supported views into Oracle Database, Oracle XE, Oracle Cloud, or Amazon RDS for Oracle with type-mapping review and optional DBSync.

SQL Server to Oracle migration usually means moving SQL Server, SQL Server Express, Azure SQL, or Amazon RDS for SQL Server tables into an Oracle schema.

The data transfer is only one part of the job. SQL Server identity columns, BIT flags, Unicode text, DATETIME2 values, binary columns, T-SQL views, and stored procedures all need Oracle-compatible decisions before Oracle becomes the write target.


What DBConvert does on this path: handles SQL Server → Oracle as a repeatable desktop workflow:

  • Connects to SQL Server by TCP/IP or Named Pipes, including Azure SQL and Amazon RDS for SQL Server.
  • 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 T-SQL stored procedures, triggers, jobs, CLR code, or application SQL into PL/SQL.

Which tool: DBConvert or DBSync?

DBConvert for SQL Server → Oracle

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

DBSync for SQL Server ↔ Oracle

Staged cutover or recurring synchronization. Use it when SQL Server 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 SQL Server → Oracle differences

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

Connection and schema

DBConvert reads SQL Server schemas from on-prem, Azure SQL, or Amazon RDS sources and writes the selected tables into the Oracle target schema you choose in the wizard.

Type mapping review

Numeric precision, Unicode text, date/time columns, binary payloads, and SQL Server BIT flags are reviewed before Oracle tables are created.

Identity and generated values

SQL Server identity columns need an Oracle sequence or identity policy. After import, confirm next values before Oracle starts receiving application writes.

Views and query syntax

Supported SQL Server view definitions can be translated toward Oracle. T-SQL-only syntax such as TOP, ISNULL, GETDATE(), and bracketed identifiers should be reviewed before cutover.

Validation after import

Compare row counts, inspect nullable columns, check key ranges, and sample long text / binary values after the Oracle load.

Procedural code boundary

DBConvert migrates tables, views, and foreign keys. T-SQL procedures, triggers, jobs, CLR code, and application SQL are rewritten manually in PL/SQL or the new application layer.

Type mapping checkpoints

SQL Server source type Oracle target type Migration note
int, bigint NUMBER(10), NUMBER(19) Review key columns and sequence / identity policy.
decimal(p,s), numeric(p,s) NUMBER(p,s) Keep declared precision and scale for finance columns.
varchar, nvarchar VARCHAR2, NVARCHAR2 Confirm Unicode policy and column lengths.
datetime2, datetimeoffset TIMESTAMP, TIMESTAMP WITH TIME ZONE Choose the offset-aware target where the application depends on it.
bit NUMBER(1) Confirm how true / false values are represented in Oracle-facing code.
varbinary(max), image BLOB Sample large binary rows after the load.

Choosing the SQL Server → Oracle route

The right route depends on the goal: free Oracle-native migration, code conversion, low-downtime replication, or a repeatable desktop data move.

Route Where it fits Where it falls short
Oracle SQL Developer Migration Workbench Oracle-native, free A free Oracle route for teams that want to capture SQL Server schema, generate Oracle DDL, move data, and attempt T-SQL object conversion inside Oracle SQL Developer. Requires Oracle migration setup and driver work; complex T-SQL procedures, triggers, jobs, and application SQL still need manual testing and rewrite.
SQL conversion toolkits SQLines / Ispirer-style code conversion Projects where stored procedures, functions, triggers, and large SQL script portfolios are the main migration risk. Usually more code-conversion focused than day-to-day data movement; commercial services can be heavier than a desktop table migration.
Enterprise replication Oracle GoldenGate / CDC platforms Large production systems that need low-downtime or near-real-time replication from SQL Server into Oracle during a long parallel run. Operationally heavy and expensive for a normal one-time migration or scheduled desktop workflow.
DBConvert / DBSync commercial desktop, Windows GUI-based SQL Server → Oracle transfer with selective table migration, type-mapping review, saved sessions, scheduler / CLI, and optional synchronization around the migration window. Not a T-SQL-to-PL/SQL code converter. Stored procedures, triggers, jobs, and application SQL are a separate rewrite track.

Oracle target planning

Most failed test loads come from target setup, not from the row copy itself.

Schema ownership

Create or select the Oracle schema that will own the migrated tables, indexes, and constraints before the first full test run.

Client and NLS settings

Check Oracle client bitness, authentication, and NLS settings before moving Unicode text or date/time-heavy tables.

Rerunnable test loads

Save the session after table selection and type mapping are stable, then rerun the same job for validation and final load.

Use the SQL Server connection guide for source setup and the Oracle troubleshooting guide if Oracle client, NLS, or authentication errors appear.

Supported versions

  • SQL Server 2008–2022, including Express editions
  • Azure SQL Database and Amazon RDS for SQL Server
  • SQL Server schemas (dbo, custom schemas)
  • Windows authentication or SQL authentication
  • Oracle 10g and later, including Oracle XE and Oracle Cloud
  • No Oracle client or ODBC driver required

Supported in this path

Source SQL Server
Target Oracle
Oracle Database Oracle Database XE Microsoft SQL Server SQL Server Express Azure SQL Database Azure SQL Managed Instance Amazon RDS for SQL Server

Using SQL Server 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 SQL Server source database

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

Connect to SQL Server source database from DBConvert

SQL Server source

Connect by TCP/IP or Named Pipes, use Azure SQL, or read from Amazon RDS for SQL Server.

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.

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