How to Connect to MySQL and MariaDB using SSIS

Nowadays, it's very important to have the capability to process big data. ETL processes (Extract, Transform, Load) allow collecting information from various sources and converting it into a convenient format for further analysis. When MySQL or MariaDB is one of the data resources, it's worth considering using SQL Server Integration Services (SSIS) to manage ETL processes.

SSIS is a powerful and reliable tool that has several advantages. and it's much cheaper than many cloud-based ETL solutions. Additionally, SSIS provides high controllability of ETL processes thanks to an intuitive interface and a large number of built-in components for different tasks. Devart SSIS Components for MySQL can be used to simplify work with MySQL and MariaDB in SSIS. This product offers easy configuration and support for components to execute ETL tasks such as data loading, extraction, and conversion. SSIS is the right instrument for building effective ETL processes as they are compatible with various versions of MySQL, MariaDB, and SSIS.

Create data flow tasks for MySQL

To add the Devart MySQL Source component, you need to:

1. Install SQL Server Data Tools (SSDT) for Visual Studio and install SSIS for Visual Studio.

2. Go to the Data Flow tab.

3. In the SSIS Toolbox panel, find Devart MySQL Source and drag and drop it into the Data Flow field.

Devart MySQL Source

Configure the SSIS MySQL connection

1. Double-click the added Devart MySQL Source and select Create New Connection Manager from MySQL Connection.

Add a connection

2. Configure the settings on the General tab:

Server: Enter the IP address or DNS name of the MySQL server where the desired database is located.
Port: Specify the port of the server.
User: Type your username for the MySQL server.
Password: Enter your password for the server. If you do not want to type the password each time you connect, select Save my password.
Database: Select the database you want to connect.

General Connection

You can check the connection by clicking Test Connection.

Test Connection

3. Go to the Advanced tab and adjust the desired options in the HTTP Options, Initialization, Pooling, Proxy Options, Security, Source, SSH, and SSL sections.

Adjust the desired options

4. Click OK.

Select MySQL data for retrieving using SSIS

Having configured the connection, double-click Devart MySQL Source to open Devart MySQL Source Editor. It looks as follows:

Devart MySQL Source Editor

In the Editor, you do not need to write the SELECT query to get data from a table. You can create the statement by dragging the required table and dropping it into the Query field.

Devart MySQL Source Editor

Additionally, the Editor provides the functionality for writing and executing custom statements, including JOINs, to retrieve specific information even from several tables.

Devart MySQL Source Editor

Essential SSIS ETL tasks for MySQL and MariaDB integration

SSIS is a robust tool for data processing and integration. Here are some tasks that you can perform with data in MySQL databases with the help of this tool:

Data import/export

SSIS allows importing information and exporting it into different formats, including CSV, XML, and Excel. It can be useful when you need to create reports, archive data, or move it from one system to another.

Data aggregation

With SSIS, it's possible to calculate sums, averages, minimum and maximum values, etc. It helps analyze big data and obtain crucial analytical information.

Splitting and merging data

SSIS provides the capability to break large datasets into smaller parts or to merge data from different sources into a single dataset for further analysis and processing.

Integration with cloud storage

Using Devart SSIS Components, you can combine MySQL data with any cloud storage, such as Amazon S3, Google Cloud Storage, or Azure Blob Storage. This is especially beneficial for storing backups, transferring big data, or integrating with cloud analytics tools.

Data replication

SSIS allows configuring data replication from MySQL databases to other databases or systems. It helps ensure business continuity and data availability in case of some failures in the main database.

Data backup

You can set up the automatic backup process of data from MySQL databases on a regular basis. Thus, you'll save critical information and be able to restore it.

Data migration

SSIS is efficient for moving data from MySQL to other databases or systems, for example, SQL Server, Oracle, or cloud platforms. It empowers you to easily relocate information while upgrading or changing IT infrastructure.

All these tasks demonstrate SSIS's flexibility and capacity to work with data in MySQL databases. The tool delivers effective data processing, integration, and management in various scenarios.

Conclusion

SSIS offers a range of benefits when working with MySQL and MariaDB databases. The tool has an intuitive interface to develop ETL processes. SSIS is a proven solution used in many large enterprise environments for reliable data management and integration. With it, you can scale data analysis according to business needs and handle large volumes of information without loss of performance.

You can download SSIS Data Flow Components for MySQL to evaluate its capabilities with a free trial. You can also try the SSIS Integration Universal Bundle, which includes all components for data management in one package. Don't miss to get full access to all features and integrations — download now and see their effectiveness for yourself!

How to Connect to MySQL and MariaDB using SSIS

Create data flow tasks for MySQL

Configure the SSIS MySQL connection

Select MySQL data for retrieving using SSIS

Essential SSIS ETL tasks for MySQL and MariaDB integration

Conclusion

SSIS Data Flow Components

High-performance SSIS components for popular databases and cloud applications