How to Convert SQL Server to MySQL? 2 Easy Methods

on Data Integration, Database Management Systems, Microsoft SQL Server, MySQL, MySQL WorkBench, ODBC, SQL Server • June 1st, 2022 • Write for Hevo

SQL Server is a popular Database Management System, though it can be an expensive choice in terms of license and support fees. In comparison to SQL Server, MySQL is a much cheaper option even if you opt for an enterprise edition. With MySQL, you can also enjoy a wide range of operating systems, including several Linux, Solaris, and Mac distributions. 

You also get a scalable database infrastructure with several additional features which have been tested over many years by a huge open source community. You can easily convert SQL Server to MySQL by setting up ODBC drivers and the MySQL Workbench or automating the process using third-party tools. 

In this article, you will learn how to effectively convert SQL Server to MySQL using 2 different methods.   

Table of Contents

What is SQL Server?

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Microsoft SQL Server is a widely used Relational Database Management System on the market, serving a wide range of business intelligence and analytics software applications in enterprise environments. SQL Server is tied to the T-SQL language & includes a set of programming extensions in the standard language. TSQL is Microsoft’s own language known as Transact-SQL. It provides more functions such as the variable declaration, exception handling, stored procedures, etc.

It has a relational engine that takes care of processing commands, and queries, as well as the storage of files, bb.dd., tables, and data buffers. Its second tier is dedicated to memory management, programming, and managing request and response interactions with the server hosting the database. 

Key Features of SQL Server

SQL Server offers the following salient features:

  • Best-in-Class Security: SQL Server data is always protected with Secure Enclaves that expand computational capabilities on encrypted columns in SQL Server memory. A secure enclave is a protected region of memory within the Database Engine process that isolates application code and data from anyone with privileges, enabling the encryption of both storage and network data.
  • Intelligent Processing Capabilities: SQL Server enhances your Query Optimizer with more efficient query execution plans that include dynamic memory grants for rowstore tables, table variable deferred compilation, batch mode on rowstore, etc 
  • Improved Database Recovery:  The Accelerated Database Recovery feature utilizes the Persisted Version Store for tracking changes. Irrespective of the time taken by long-running transactions, there is no effect on the recovery time.
  • Memory-Optimized Tempdb Metadata: You can now transfer the 10 most commonly used system tables from Tempdb’s system tables into memory-optimized tables. This assist in solving most query problems, thereby making TempDB more scalable.  

Explore These Methods to Convert SQL Server to MySQL

SQL Server has proven abilities as a Relational Database Management system that effectively stores all your structured data. MySQL is a widely used Open-Source Relational Database Management System that can easily handle large volumes of data at a much more economical rate. You can use the following 2 methods to convert SQL Server to MySQL for solving some of the biggest data problems for businesses: 

Method 1: Using Hevo Data to Automate the Process to Convert SQL Server to MySQL 

Hevo Data, an Automated Data Pipeline, provides you with a hassle-free solution to convert SQL Server to MySQL within minutes with an easy-to-use no-code interface. Hevo is fully managed and completely automates the process of not only loading data from SQL Server but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code.

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Method 2: Manually Convert SQL Server to MySQL 

This method would be time-consuming and somewhat tedious to implement. You have to first configure your ODBC Driver and use the MySQL Workbench Migration Wizard to convert SQL Server to MySQL. This is preferred if you rarely need to perform the data replication process with no data transformations.

What is MySQL?

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MySQL is a popular Open-Source Relational Database Management System. MySQL data is stored in tables consisting of rows and columns. Introduced in 1995, MySQL is completely developed, distributed, and maintained by Oracle Corporation. Looking over the technical side, MySQL is written in the C and C ++ languages.

MySQL is compatible with multiple platforms such as Microsoft Windows, Oracle Solaris, AIX, Symbian, Linux, and macOS. You can use SQL commands to retrieve, change or add data from your MySQL tables. MySQL is also a vital component of the Modern LAMP stack, which consists of a Linux-based Operating System, Apache Web Server, MySQL Database, and PHP for processing.

SQL can also be used to define the table schema or even configure the relationship between the tables in the database. Client-Side Graphical User Interfaces such as MySQL WorkBench, SequelPro, or DBVisualizer can be used to type the SQL commands and the server will respond with the requested information. MySQL also offers a paid Enterprise version which includes premium support services and several extensions that can be installed as Server Plugins

Key Features of MySQL

MySQL is widely used by organizations like Facebook, Flickr, Twitter, Wikipedia, and YouTube. This is due to the following set of MySQL’s eye-catching features: 

  • Ease of Operation: With MySQL, you can work with a diverse set of programming languages ​​such as PHP, PERL, C, C ++, and JAVA. It also provides a set of intuitive tools to simplify time-consuming tasks such as Server Management, Reporting, and Data Analysis. Allowing you to work with a broader range of datasets, MySQL offers full support for several Data structures, JSON and Geospatial data, as well as Logical, Numeric, Alphanumeric, Date, and Time data types.
  • First-rate Performance: MySQL delivers best-in-class query performance across a variety of clustered servers. It provides a fast-loading utility with a separate memory cache and table index partitioning. MySQL can also efficiently handle fluctuating workloads and process large volumes of data at optimal speeds. This allows you to store more than 50 million rows of data in a table with a table’s default file size limit of 4 GB. However, depending on the configuration of the operating system, this can be increased to a theoretical limit of 8 million terabytes (TB)
  • Open-Source: MySQL is under the GNU General Public License (GPL), which means it will always be freely available. It provides you the freedom to customize it on Oracle’s Open-Source MySQL codebase based on your needs. Since it is an Open-Source software, a large community has grown that regularly enriches MySQL’s documentation and its online support culture.
  • Localization: To make it user-friendly, MySQL supports multiple character sets, including latin1 (cp1252), german, big5, ujis, and more. You can also set the error message language that the server provides to the client. The MySQL Server Time can also be dynamically changed with the ability to set specific time zones for individual clients.
  • Data Security: MySQL provides you full control over the Data Access Control settings. Robust mechanisms such as Access Privilege Systems and User Account Management allow you to regulate who can view or use your MySQL data. MySQL sets the highest standard with Host-based Verification and Password Encryption.

How to Convert SQL Server to MySQL?

You can simply convert SQL Server to MySQL using the following 2 methods:

Method 1: Using Hevo Data to Automate the Process to Convert SQL Server to MySQL 

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Hevo Data is a No-code Data Pipeline solution that can help you seamlessly replicate data in real-time from 100+ data sources(Including 40+ free sources) like MS SQL Server to your desired destination such as MySQL, Data Warehouses, or BI tools in a completely hassle-free & automated manner. 

Hevo also supports MySQL as a Source and SQL Server as a Destination. Hevo is fully managed and completely automates the process of not only loading data from 100+ data sources such as MySQL but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss.

Hevo Data takes care of all your data preprocessing needs and lets you focus on key business activities and draw a more powerful insight on how to generate more leads, retain customers, and take your business to new heights of profitability. It provides a consistent & reliable solution to manage data in real-time and always have analysis-ready data in your desired destination. 

Take a look at some of the salient features of Hevo:

  • Fully Managed: Hevo requires no management and maintenance as it is a fully automated platform.
  • Data Transformation: Hevo provides a simple interface to perfect, modify, and enrich the data you want to transfer.
  • Faster Insight Generation: Hevo offers near real-time data replication so you have access to real-time insight generation and faster decision making. 
  • Schema Management: Hevo can automatically detect the schema of the incoming data and map it to the destination schema.
  • Scalable Infrastructure: Hevo has in-built integrations for 100+ sources (with 40+ free sources) that can help you scale your data infrastructure as required.
  • Live Support: Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
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Without the need for manually setting up any connection drivers or the limited-feature MySQL Workbench, you can effortlessly convert SQL Server to MySQL using Hevo by following the simple steps given below:

  • Step 1: To convert SQL Server to MySQL, you can first configure MS SQL Server as a source by providing your SQL Server database credentials such as your authorized Username and Password, along with information about your Host IP Address and Port Number value. You will also need to provide a name for your database, schema and a unique name for this Pipeline. 
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  • Step 2: For completing the process to convert SQL Server to MySQL, you can start by providing your MySQL database credentials such as your authorized Username and Password, along with information about your Host IP Address and Port Number value. You will also need to provide a name for your database and a unique name for this destination. 
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Method 2: Manually Convert SQL Server to MySQL 

MySQL Workbench provides a Migration Wizard that allows you to convert SQL Server to MySQL. However, you need to set up the ODBC (Open Database Connectivity) Driver to up the connection between these databases. You can achieve this by following the steps given below:

Step 1: Configure the ODBC Driver to Convert SQL Server to MySQL

Before using the MySQL Workbench, you have to set up the ODBC Driver to convert SQL Server to MySQL. An ODBC driver allows applications and programming languages to interact with and access Databases or a cloud application. You can easily set up your driver by going through the following steps:

  • Step 1:  Click on your Windows icon. Search for “Windows Administrative Tools” in the search bar & select it.
  • Step 2: From the list of tools, there will be 2 ODBC drivers namely for 32-bit and 64-bit. You can select the one according to your system. For this example, the 64-bit ODBC driver is selected.
  • Step 3: An ODBC Data Source Administrator(64-bit) window will pop on your screen. Click on the System DSN tab and then click on the Add button.
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  • Step 4: From the list of the Data Sources, scroll down, select the SQL Server, and click on the Finish button.
  • Step 5: A new “Connect a New Data Source to SQL Server” window will appear on your screen. As a new ODBC data source is being created to act as a mediator between MySQL and SQL Server, you can provide the name & description you would like to refer to.
  • Step 6: For the SQL Server name, open your Microsoft SQL Server Management Studio. You can directly copy the SQL Server name from the landing window i.e the “Connect to Server” window.
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You can also write a simple SQL command to retrieve the SQL Server name.  

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  • Step 7: Copy and paste the Server Name in the “Connect a New Data Source to SQL Server” window. Click on the Next button to move forward. Leaving the default settings for the SQL Server Authentication method as Windows NT, click on the Next button.
  • Step 8: Now, check the “Change the default Database to” box. You can now select your desired database that you want to migrate to MySQL and click on the Next button. In this example, the “Work” database is selected. 
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  • Step 9: Click on the Finish button and then click on the Test Data Source button. Upon a successful test, you will get a confirmation message. This completes the ODBC Driver step in the process to convert SQL Server to MySQL.
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Step 2: Use the MySQL Migration Wizard to Convert SQL Server to MySQL

After you have set up your ODBC Data Source, you can now use the MySQL Workbench to convert SQL Server to MySQL. To do that, you can follow the simple steps given below:

  • Step 1: Open your MySQL Workbench and navigate to Database > Migration Wizard.
  • Step 2: In the Migration, you can view the Migration Task List on the left side of your screen that you to follow. To get started, click on the Start Migration button.
  • Step 3: On the Source Selection page, you can now enter your MS SQL Server Connection parameters as shown below. Click on the Test Connection button once you are done. A confirmation message will be displayed on your screen afterward.
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  • Step 4: Click on the Next Button to move to the Target Selection page. Now, enter your MySQL destination details. Once you are done, you can click on the Test Connection button and a successful test confirmation message will pop up on your screen.
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  • Step 5: Click on the Next button. The MySQL Migration Wizard will now fetch the Schema list from your SQL Server. Click on the Next button after the list is successfully extracted.
  • Step 6: In the list of databases, scroll down and select your desired database schema. In this example, the Work database is selected. 
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  • Step 7: Click on the Next button and now the MySQL Migration wizard will fetch the selected schema metadata. Click the Next button once that is complete.
  • Step 8: Click on the View Selection button to see or edit the objects that will be migrated when you convert SQL Server to MySQL. Click on the Next button after selecting your desired objects.
  • Step 9: The MySQL Migration Wizard will convert the SQL Server Objects to MySQL compatible objects. Click on the Next button after MySQL Workbench finishes the task.
  • Step 10: To let MySQL Workbench create the required schema in the target RDMS i.e MySQL, leave the default settings as it is and click on the Next button. MySQL will generate SQL scripts and execute them to create the desired schema. Click on the Next button once that is done.
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  • Step 11: The MySQL Wizard will now display a report representing the status of the schema elements in the Target database. Review the list and click on the Next button.
  • Step 12: The MySQL Migration Wizard will present you with a few ways to convert SQL Server to MySQL. Keeping the default option of copying the online table to Target RDMS, you can click on the Next button. 
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  • Step 13: Click on the Next button after the process to convert SQL Server to MySQL is completed. Final Data Migration will be displayed on your screen.  This completes the manual method to convert SQL Server to MySQL.

Conclusion

In this article, you have learned how to effectively convert SQL Server to MySQL using 2 different methods. If it is one-time data migration or you rarely need to convert SQL Server to MySQL, you can configure your ODBC driver and use MySQL Workbench as shown in the second method. However, if you need to frequently replicate data that require complex transformations, you can eliminate all this hassle and automate your process by opting for a No-Code Automated ETL Tool like Hevo Data!

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Hevo Data is a No-code Data Pipeline solution that can help you import data from a vast sea of sources like SQL Server to your desired destination such as MySQL, Data Warehouses, or BI tools. Hevo also supports MySQL as a Source and MS SQL Server as a destination. It is a reliable, completely automated, and secure service that doesn’t require you to write any code!  

If you are using MySQL as your Database Management System and searching for a no-fuss alternative to manual data integration, then Hevo can effortlessly automate this for you. Hevo, with its strong integration with 100+ sources and BI tools(Including 40+ Free Sources), allows you to not only export & load data but also transform & enrich your data & make it analysis-ready in a jiffy.

Want to take Hevo for a ride? Sign Up for a 14-day free trial and simplify your Data Integration process. Do check out the pricing details to understand which plan fulfills all your business needs.

Tell us about your experience of completing the process to convert SQL Server to MySQL! Share your thoughts with us in the comments section below.

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