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Oracle and MySQL are two of the most popular Relational Database Management Systems (RDBMS). A large number of businesses widely use both Oracle and MySQL. These databases share several key similarities as well as differences.

Many users migrate Oracle to MySQL as per their use cases. This article will help you understand two easy methods to help you set up Oracle to MySQL Migration step-by-step, enabling you to leverage the advantages of both databases. You will also get a good overview of setting up an ETL Pipeline for Oracle to MySQL data migration.

Introduction to Oracle

Oracle Database Logo

Oracle Database is a premier enterprise-level RDBMS known for its very high performance, great scalability, and rich functionality. It has been developed by Oracle Corporation and supports a large number of different data types, complex queries, and large volume transactional processing. The Oracle Database is applied in many organizations worldwide for mission-critical applications, large-scale data analysis, and for data integrity and security.

Use Cases

Let us discuss some key use cases of Oracle for your better understanding.

  • Enterprise Resource Planning: You can use Oracle’s ERP solutions for managing and integrating core business processes such as finance, human resources, and supply chain.
  • Cloud Computing: You can run database instances and deploy, manage, and scale applications using Oracle’s cloud services to work in a cloud environment for more flexibility and cost efficiency.
  • Multitenant Architecture: It can support more than one database in a single container to enhance your efficiency.
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Introduction to MySQL

MySQL Logo

MySQL is an open-source, very popular relational database management system that is highly reliable and simple in its usage, moreover, it also offers quite impressive performance. Developed by Oracle Corporation, MySQL is highly utilized in web applications specifically capable of offering great foreign key support for high-speed data access, scalability, and flexibility. It is greatly favored because of plain simplicity and huge community support, thus being a go to choice for any kind of developer or business, whether small or large in size.

Use Cases

I have highlighted some of the key use cases of MySQL below:

  • Web Applications: It serves as a backend database for web applications such as WordPress and Joomla.
  • Data Analytics: It can handle real-time data analytics and reporting for small to medium-sized databases.
  • Document Management Systems: You can organize and retrieve documents, metadata, and version histories in enterprise document management solutions.

Differences between Oracle and MySQL

OracleMySQL
1. Oracle requires costly licenses1. MySQL is free and open-source
2. Oracle offers advanced enterprise features2. MySQL is lightweight but still powerful.

Advantages of Migrating Oracle Database to MySQL

Before performing the Oracle Database Migration, you might be interested in knowing what advantages MySQL has over Oracle. I have mentioned the advantages below for your reference.

  • You can reduce the licensing and maintenance costs associated with Oracle by switching to MySQL which is open source and more efficient.
  • You can leverage MySQL’s scalability features to handle growing data.
  • MySQL has simpler configurations than Oracle’s feature-rich but complex environment.
  • MySQL offers a variety of storage engines, while Oracle’s storage mechanisms are more rigid and integrated.

What are the Methods to Set up Oracle to MySQL Migration?

You can set up Oracle to MySQL Migration by implementing one of the following methods:

Connect Oracle to MySQL using 2 methods

Method 1: Using Hevo Data to Set up Oracle to MySQL Migration
You can leverage Hevo’s intuitive No-Code Data Pipeline Platform to perform easy migrations from 150+ sources like Oracle to MySQL or any other destination warehouse.
Effortlessly transfer your data while ensuring accuracy and minimal downtime. You can monitor migration tasks with built-in error handling and receive alerts to quickly address any issues that arise. 

Method 2: Manual Oracle to MySQL Migration 
Manually migrating from Oracle to MySQL involves exporting data from Oracle and importing it into MySQL, often requiring extensive manual data mapping and transformation. This method can be prone to errors and is time-consuming.

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Method 1: Using Hevo Data to Set up Oracle to MySQL Migration

Hevo Data helps you directly connect Oracle to MySQL and various other sources, Data Warehouses, or a destination of your choice in a completely hassle-free & automated manner.

The following steps can be implemented to set up Oracle to MySQL Migration using Hevo:

Step 1: Configure Oracle as your Source

  • Configure Source: Connect Hevo Data with Oracle by providing a unique name for your Pipeline and information about your Oracle database, such as its name, IP Address, Port Number, Username, Password, etc.
Oracle to MySQL - Configure Oracle as a Source | Hevo Data
Configure Oracle Source

Step 2: Configure MySQL as your Destination

  • Integrate Data: Complete Oracle to MySQL Migration 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.
Oracle to MySQL - Configure MySQL as a Destination | Hevo Data
Configure MySQL Destination
Load data from Oracle to MySQL
Load data from Oracle to BigQuery
Load data from Oracle to Snowflake

Method 2: Manual Oracle to MySQL Migration 

  • Login to MySQL with your credentials.
  • Launch the option for the ODBC Connector data source.
  • Set up the Oracle ODBC data source to your MySQL database.
Oracle to MySQL - ODBC | Hevo Data
Oracle to MySQL – ODBC
  • Fill in the required details to connect the Oracle Server name, user, password, and database. Provide a suitable ODBC connection name. Click on the Test button to test the connection. 
  • Configure listener.ora file from Oracle. Navigate to the Oracle installation directory, and you’ll find the listener.ora file under $ORACLE_HOME/NETWORK/ADMIN directory and add the following to it:
SID_LIST_LISTENER =
<Space>(SID_LIST=
<Space>(SID_DESC=
<Space>(SID_NAME=test)
<Space>(ORACLE_HOME=C:oracleproduct11.2.0dbhome_1)
<Space>(PROGRAM=dg4odbc)
)
)
  • Update the location of ORACLE_HOME if the path mentioned is not your installation path.
  • The above configuration tells Oracle to use the dg4odbc program.
  • If you face any issue, type dg4odbc in the command line to check if that program exists or not. If you get an error as “Program not recognized”, add $ORACLE_HOME/bin to your path variable and relaunch the command line to check. 
  • Configure inittest.ora. The file will be created when you create a new SID in the listener.ora file. The naming convention of the file is init + SID name. Configure data source / SID for dg4odbc. Add the following to your inittest.ora file:
HS_FDS_CONNECT_INFO = test
  • The above line specifies which ODBC connection to use. In this case, in step 1, you have created an ODBC connection to form the connection. 
  • Configure tnsnames.ora file. The file location is $ORACLE_HOME/NETWORK/ADMIN/TNSNAMES.ora. Add the following lines to the file:
TSLINK = 
(DESCRIPTION=
(ADDRESS=
(PROTOCOL=TCP)
(HOST=localhost)
(PORT=1521)
)
(CONNECT_DATA=
(SID=test)
)
(HS=OK)
)
  • In the above configuration, the HS=OK entry is very important, and you must ensure that you have used the same SID created on the listener.ora file.
  • Restart the Oracle Service and the TNS Listener Service.
  • Once Oracle is up and running, create a database Link in Oracle. Log in to the Oracle database with DBA rights (e.g. as SYS) and create the database link using the following syntax:
create public database link link2mysqltest connect to "oracle" identified by "oracle" using 'TSTLINK';
  • Test the database link and click on Finish.
  • Login to MySQL and run the below query which uses the test link created in the above steps.
select * from "test_table"@link2mysqltest

Limitations of Manual Oracle to MySQL Migration

The limitations of manually setting up Oracle to MySQL Migration are as follows:

  • Even though the user only has to make a few configuration changes to set up Oracle to MySQL Migration, it is difficult to get this migration right without deep Oracle administration knowledge. This might lead to Oracle throwing errors because of multiple configuration parameters that vary across different versions.
  • Even after getting the Oracle to MySQL Migration right, the connection, in reality, has many constraints and rough edges concerning the SQL queries that can be executed. You will encounter problems with functions and data types that are not supported at source and target databases.

You have seen the Oracle to MySQL migration challenges. Let’s get into the next one.

Why Migrate from Oracle to a MySQL Database?

There are several advantages when you convert Oracle to MySQL database for any reasons, such as:

  • MySQL is more cost-effective compared to Oracle. It is an open-source database, and it does not require associated licensing costs.
  • MySQL is simple and flexible due to its straightforward setup process and user-friendly interface. The syntax and commands in it are easy to learn and understand. Contrary to this, Oracle’s feature-rich PL/SQL language is complex.
  • MySQL possesses high-performance capabilities and scalability. It can handle large amounts of data efficiently and maintain optimal database performance simultaneously.
  • MySQL is an open-source community that provides a lot of troubleshooting and development support, resources, and documentation. It ensures MySQL remains reliable and up-to-date as it often releases updates and improvements to the MySQL database.
  • Compatible with multiple platforms and operating systems, MySQL easily integrates with various programming languages, frameworks, and tools.

Challenges of the Migration Process

There are some issues that you might face while migrating your Oracle Database to MySQL.

ChallengesSolution
Since Oracle and MySQL have different data types and formats, compatibility issues can arise during migration.You can use transformation tools and scripts to convert the data according to MySQL’s compatible data types.
There might be some advanced Oracle features and complex SQL queries that are not directly translatable to MySQL.You can simplify or refactor complex queries and replace Oracle-specific features with MySQL-compatible alternatives.
Migrating large volumes of data can result in significant downtime and impact system availability.You can plan for incremental data migration and synchronization to minimize downtime. 

Conclusion

This article provided a step-by-step guide on how to set up Oracle to MySQL Migration manually or using Hevo. . Along with the information on Oracle to MySQL migration step by-step, it also gives a brief overview of each of these software comprehensively.

However, there are certain limitations associated with the manual method. If those limitations are not a concern to your operations, then using it is an option, but if it is then you should consider using the automated Data Pipeline platform, Hevo.

The transparent pricing and 24×7 support make Hevo the highest-rated data pipeline software on many review sites.

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What are your thoughts on moving data from Oracle to MySQL? Let us know in the comments.

Frequently Asked Questions

1. Can we migrate from Oracle to MySQL?

Yes, you can migrate from Oracle to MySQL.

2. What tool is used to migrate Oracle to MySQL?

a) MySQL Workbench
b) Oracle SQL Developer
c) Third-Party Tools like Hevo

3. Is MySQL compatible with Oracle?

MySQL and Oracle Database have different architectures, features, and functionalities. While they are both relational database management systems (RDBMS), there are several points of compatibility and incompatibility between them.

Vishal Agrawal
Technical Content Writer, Hevo Data

Vishal Agarwal is a Data Engineer with 10+ years of experience in the data field. He has designed scalable and efficient data solutions, and his expertise lies in AWS, Azure, Spark, GCP, SQL, Python, and other related technologies. By combining his passion for writing and the knowledge he has acquired over the years, he wishes to help data practitioners solve the day-to-day challenges they face in data engineering. In his article, Vishal applies his analytical thinking and problem-solving approaches to untangle the intricacies of data integration and analysis.