How to Connect to Oracle Using SSIS
Oracle is often the default choice for large enterprise-level organizations, and its databases store vast amounts of data that businesses rely on to make critical decisions. A crucial task in this process involves retrieving data from the databases, processing it, and loading it into analytics systems to uncover more precise patterns and insights. The Extract, Transform, Load (ETL) process is a routine part of data management.
Microsoft's SQL Server Integration Services (SSIS) is one of the most popular ETL tools. It offers high functionality, is more cost-effective than many cloud platforms, and is backed by Microsoft, ensuring reliable performance, stability, and smooth integration with other Microsoft products. Moreover, managing SSIS connection to Oracle can be simplified with the Devart SSIS Data Flow Components for Oracle.
The Devart SSIS Data Flow Components for Oracle provide a simple yet powerful Oracle SSIS connector, enabling users to connect to Oracle with just a few clicks and ensuring precise data retrieval. This article will guide you through the process.
Create data flow tasks for Oracle
Before you begin, ensure the following prerequisites are met:
- SQL Server Data Tools (SSDT) for Visual Studio and SSIS for Visual Studio must be installed
- The Devart SSIS Data Flow Components for Oracle must be installed
- Your system must meet the compatibility requirements for using the SSIS Data Flow Components for Oracle
The first step in the process is to create an SSIS data flow task and establish the SSIS connection to the data source.
After installing the Devart SSIS Data Flow Components, you can easily connect SSIS to Oracle:
1. Open Visual Studio and navigate to the Data Flow tab.
2. In the SSIS Toolbox panel, select Devart Oracle Source, then drag and drop it into the Data Flow design area.

Configure the SSIS Oracle connection
To configure the SSIS Oracle task as part of your ETL process, follow these steps:
1. Double-click Devart Oracle Source in order to establish an Oracle connection in SSIS via the Source Editor.
2. Select Create New Connection Manager from the menu.

The Oracle Connection Manager Editor supports Direct connection mode, which allows you to connect to an Oracle database without the Oracle Client software (you don't need it installed on your PC at all). The direct connection is performed via TCP/IP (or SSL or SSH).
To enable the Direct connection mode, check the appropriate box at the bottom of the Connection Manager Editor. Then enter the required connection details:
- Server - the IP address or DNS name of the Oracle server you want to connect to
- Port - the port number for communicating with the server (default is 1521)
- SID - the unique name of the Oracle Database instance
- User ID - the Oracle login account
- Password - the password for the Oracle login account

Click Test Connection to verify the details.

Additionally, you can configure options at the Advanced tab. For instance, you can enable secure SSL and SSH protocols by adding "tcps://" or "ssh://" protocol prefixes respectively to the Host parameter value and set up parameters for the corresponding protocol.

Click OK.
Select Oracle data for retrieving using SSIS
To import Oracle data using SSIS, follow these steps:
1. Double-click Devart Oracle Source to open the Source Editor. Once you successfully connect to the Oracle data source, the list of available tables for import will appear in the left pane of the Editor.

2. To configure the SSIS Oracle import task to import all data, simply drag and drop the desired table into the Query field. This will automatically generate a SELECT query.

You can edit the query to customize the data retrieval. The Oracle Source Editor also supports advanced query construction, enabling you to write and execute complex queries for more precise data extraction, including processing multiple tables or selecting specific columns.

Essential SSIS ETL tasks for Oracle integration
Devart SSIS Data Flow Components provide a powerful solution for executing standard ETL tasks. Some of the key benefits of using this solution include:
Import/Export for CSV, XML, and Excel
SSIS allows you to import and export data in various file formats such as CSV, XML, and Excel. This functionality automates data extraction from flat files or structured documents and loads it into relational databases or other destinations, ensuring smooth and accurate data transfer across systems.
Data aggregation, splitting, and merging
SSIS allows you to aggregate and summarize data, split large datasets into smaller chunks for more efficient processing, and merge data from multiple sources into a unified output.
Cloud storage integration
SSIS supports integration with a variety of cloud storage platforms for easier data transfer and management between on-premises systems and cloud-based storage solutions.
Replication, backup, and data migration
SSIS can be used for database replication, regular backups for disaster recovery, and data migration between different systems, making it a highly functional tool for maintaining data continuity and ensuring smooth transitions between systems.
These capabilities highlight SSIS's strength in handling database-related tasks, while Devart SSIS Data Flow Components for Oracle simplify data flow task configuration, ensuring precise data retrieval and enhancing the efficiency of ETL processes.
Conclusion
SSIS is favored by database professionals for its ease of use, scalability, reliability, and security, among other benefits. It has become a popular solution for ETL tasks. Additionally, integrating third-party solutions like Devart SSIS Data Flow Components simplifies ETL processes and delivers improved performance with minimal effort.
To optimize your ETL jobs involving Oracle Database, download and install the SSIS Data Flow Components for Oracle. If your workflows require managing multiple data sources, consider the Devart SSIS Integration Universal Bundle. This bundle includes dedicated SSIS connectors for a broad range of sources, such as major databases and cloud platforms.
A fully functional trial is available for all SSIS Data Flow Components, allowing you to evaluate their performance under real-world workloads.