Send data from Oracle to SQL Server

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Replicate Oracle Data to SQL Server Automatically

How to send Oracle data to SQL Server without complex ETL coding? Kondado provides a direct pipeline between these two database systems, allowing you to replicate your Oracle tables and views into SQL Server on a configurable schedule. Simply connect your Oracle database as a data source, select SQL Server as your destination, and choose which pipelines to activate from the available options. The platform handles the schema mapping and data transfer automatically, updating your SQL Server instance every 5 minutes, hourly, or daily based on your specific business requirements. Once your data arrives in SQL Server, you can build custom reports, combine it with other business data, or connect it to visualization tools for deeper analysis.

Kondado replicates selected Oracle tables and views to SQL Server on a configurable schedule ranging from 5 minutes to daily intervals, requiring no coding or manual schema mapping.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Pipelines and Use Cases

The Tables and Views pipeline replicates selected structured data objects from your Oracle environment into your SQL Server database. This includes your transactional tables containing customer records, financial entries, and operational metrics, alongside complex views that consolidate cross-departmental insights. Once replicated to SQL Server, this data supports high-performance querying for executive dashboards, feeds analytics workflows in Power BI or Looker Studio, and enables historical trend analysis by maintaining consistent data snapshots on your preferred schedule.

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Dynamic data

Kondado automatically reads the schema of your Oracle. All tables, views, and fields available in your account are extracted without manual configuration.

1
available pipeline

What Kondado extracts

Tabelas e Views
Kondado automatically maps all tables and views available in your database
Integration Description
Tabelas e Views Kondado automatically maps all tables and views available in your database

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How to send Oracle data to SQL Server

Sync data automatically — no code, no manual exports.

1
Connect Your Oracle Database

Enter your Oracle connection details including host, port, service name, and credentials in Kondado's data source configuration page. The platform will validate the connection and present available tables and views to select for replication.

2
Configure SQL Server Destination

Set up your SQL Server instance as the destination by providing server address, database name, and authentication credentials. Kondado will prepare the target environment to receive your Oracle data structures.

3
Select Pipelines and Schedule

Choose the Tables and Views pipeline to activate, select specific Oracle objects to replicate, and set your update frequency from 5 minutes to daily. Once activated, Kondado begins automated replication according to your configured timeline.

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Send data from Oracle to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Oracle data to SQL Server automatically

How does Kondado replicate Oracle data to SQL Server without coding?
Kondado provides a direct pipeline that connects to your Oracle database and presents available tables and views for selection. The platform handles schema conversion and data type mapping between the two systems, then transfers your selected data to SQL Server on your chosen schedule. You configure the connection through a web interface by entering your database credentials and selecting which pipelines to activate.
What Oracle database objects can I replicate to SQL Server?
Kondado's Tables and Views pipeline maps the tables and views you select from your Oracle database for replication to SQL Server. This includes standard relational tables, materialized views, and complex view definitions that join multiple data sources within Oracle. You select specific objects to replicate or choose entire schemas depending on your reporting requirements.
How often can I schedule Oracle to SQL Server updates?
You can configure replication schedules ranging from every 5 minutes to daily intervals, depending on how fresh your data needs to be for downstream analysis. This flexibility supports both near-real-time operational reporting and traditional daily batch updates for business intelligence workflows. The schedule runs automatically once configured, requiring no manual intervention to maintain data consistency.
What happens to my data format when moving from Oracle to SQL Server?
Kondado automatically converts Oracle data types to their SQL Server equivalents during the replication process, ensuring your numeric, text, and date fields maintain accuracy. The platform preserves table structures and relationships while adapting to SQL Server's specific syntax and storage requirements. Your data arrives in SQL Server ready for immediate querying and analysis without additional transformation steps.
Can I combine Oracle data with other sources in the same SQL Server database?
Yes, you can replicate data from multiple sources into the same SQL Server instance to create unified reporting datasets. For example, you might combine Oracle financial data with MySQL application logs and PostgreSQL customer records within SQL Server. This consolidation enables cross-platform analysis and comprehensive dashboards that draw from your entire technology stack.
Do I need to map Oracle data types manually for SQL Server compatibility?
No, the platform automatically handles data type conversion between Oracle and SQL Server systems during the replication process. Common types like VARCHAR2 convert to VARCHAR, NUMBER maps to appropriate numeric types, and DATE fields translate correctly to SQL Server datetime formats. This automation eliminates manual schema work and reduces the risk of data conversion errors.
Can I send Oracle data to SQL Server and Power BI simultaneously?
Yes, you can configure multiple destinations for your Oracle data, sending the same datasets to SQL Server and visualization platforms concurrently. For instance, replicate to SQL Server for storage and archival while simultaneously sending data to Power BI or Looker Studio for immediate dashboard updates. This multi-destination approach ensures both your data warehouse and business intelligence tools stay synchronized on the same schedule.

Try out all the features for free for 14 days