Database migration is an essential component of any enterprise application change management strategy. Many things change when you change the database, including your business and technical infrastructure. The primary reasons for database migration are improved performance, adoption of a more reliable and secure platform, modernization of the DBMS, and cost-cutting.
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Any database migration process has both advantages and disadvantages. The major challenges are the complexity of the source data, data corruption, infrastructure compatibility, and security. As a result, data migration strategies must be effective, reversible, fail-safe, auditable, and secure.
Read this blog to learn how to migrate MariaDB to SQL Server if you want to get analytics-ready data quickly and easily.
What is MariaDB?
MariaDB, a MySQL clone, is a popular open SQL (Structured Query Language) RDBMS created by MySQL’s original developers. The primary reason for their resemblance is that MariaDB is a software branch of MySQL. The heart of it is the MySQL source code. They are, however, not the same. MariaDB has advanced significantly since 2009 when many MySQL authors created a different version from the same source.
When Oracle Corporation purchased MySQL, the developers were concerned about the future of their product. They were concerned that Oracle would kill MySQL to eliminate a key competitor. They also wanted to ensure that their work was freely accessible. This is how MariaDB first appeared on the scene.
In addition to the Windows version, MariaDB has versions for Linux and macOS. This RDBMS is supported by Intel and IBM Power8 hardware. It is available as a service on Amazon Web Services (AWS), Rackspace Cloud, and Microsoft Azure. The method is easy to learn, safe, and convenient to use. It’s no surprise that it’s gaining popularity.
Key Features of MariaDB
- SQL Support: MariaDB supports the majority of SQL statements, functions, procedures, definitions, variables, and so on. There are also numerous useful plugins available, such as the audit plugin. All of these features greatly simplify database operations in MariaDB.
- Thread Pooling: Thread Pooling is a concept that speeds up work on MariaDB when there are multiple connections to the database. Instead of creating a new thread for each connection, MariaDB uses a pool of previously open threads. The query is sent by a new connection, which requires a thread. All searches become faster, resulting in faster results.
- JSON Compatibility: JSON is a data storage format that is widely used. JSON support is included in all MariaDB 10.2 and later versions.
What is Microsoft SQL Server?
Microsoft SQL Server is a Relational Database Management System (RDBMS). It has hundreds of cores running at the same time and can store petabytes of data. It includes a robust query layer for business analysis and is tightly integrated with reporting solutions such as Power BI. Spark support has been built into newer versions, allowing users to analyze massive amounts of data with Spark SQL without much additional configuration.
Microsoft SQL Server has established itself as a user-friendly, dependable, and effective database system. It operates on ANSI SQL, the industry-standard SQL (Structured Query Language). The SQL Database is vertically scalable, and its robust querying layer aids in business analysis and easily integrates with reporting and visualization tools such as Power BI.
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Key Features of SQL Server
Examine the following key features that have contributed to SQL Server’s huge popularity:
- The Engine of the Database: The Database Engine speeds up trade processing while also streamlining data storage and security.
- The Agent of the Server: It primarily serves as a project scheduler and can be triggered by any event or in response to a request.
- SQL Server Explorer: The Server Browser accepts queries and connects them to the appropriate SQL Server instance.
- Full-Text Search in SQL Server: Customers can perform a full-text search against Character records in SQL Tables, as the name implies.
- SSRS (SQL Server Reporting Services): Data reporting features and dynamic capacities are provided through Hadoop integration.
- Support for Cloud Databases: SQL Server can be easily integrated with Azure SQL or Microsoft Cloud and has built-in security. Cloud Database support makes SQL Server more appealing and allows for instant failover with minimal downtime.
How to Migrate Data from MariaDB to SQL Server?
There are several methods for transferring data from MariaDB to SQL Server:
- Making Use of a Dump (Structure)
- Making Use of a Dump (Data)
- Making Use of a CSV File
- CONNECT Tables in Action
- Linked Server
If the tables do not exist in SQL Server at all, we must first generate a dump. The dump may or may not contain data.
If the tables are already in SQL Server, we can move the rows using CSV files rather than dumps. CSV files are the most compact format for transferring data between technologies.
Another option for moving data with tables already in SQL Server is to insert the rows into CONNECT tables that “point” to remote SQL Server tables.
1) Making Use of a Dump (Structure)
mysqldump can create dumps of all databases, a single database, or a set of tables. By using the WHERE clause, you can even dump only a subset of the rows.
We can dump the table structures without data by specifying the —no-data option.
—compatible=mssql will generate output that should work in SQL Server.
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2) Making Use of a Dump (Data)
By default, mysqldump generates output that includes both data and structure.
To avoid the CREATE TABLE statements, use —no-create-info.
—compatible=mssql will generate output that should work in SQL Server.
—single-transaction should be used to select the source data in a single transaction, resulting in a consistent dump.
When dumping large tables, it quickly speeds up the dump process.
3) Making Use of a CSV File
Data can also be exported from MariaDB to SQL Server using CSV files. There are several methods for generating CSV files from MariaDB:
- The statement SELECT INTO OUTFILE.
- The CONNECT storage engine’s CSV table type.
- The CSV storage engine (note that NULL and indexes are not supported).
These are the simple 3 methods to export data from MariaDB to SQL Server.
4) CONNECT Tables in Action
The CONNECT storage engine enables access to external data in a variety of formats:
- Files containing data (CSV, JSON, XML, HTML and more).
- Remote databases can be accessed via the ODBC or JDBC standards, or via the MariaDB/MySQL native protocol.
- Some unique data sources.
- CONNECT was previously mentioned because it can read a CSV file and query it in SQL, filtering and transforming the data that we want to move into regular MariaDB tables.
CONNECT, on the other hand, can connect to remote SQL Server tables. We can read and even write data to it. To make CONNECT work with MariaDB to SQL Server, we must meet the following requirements:
- Install the ODBC driver, which is available from the Microsoft website. Linux and macOS versions of the driver are also available.
- Setup unixODBC.
- Install CONNECT (unless otherwise specified).
A CONNECT table that points to a SQL Server table is shown below:
#CONNECT Table for MariaDB to SQL Server CREATE TABLE city ( id INT PRIMARY KEY, city_name VARCHAR(100), province_id INT NOT NULL ) ENGINE=CONNECT, TABLE_TYPE=ODBC, TABNAME='city' CONNECTION='Driver=SQL Server Native Client 13.0;Server=sql-server-hostname;Database=world;UID=mariadb_connect;PWD=secret'; #MariaDB to SQL Server
5) Linked Server
Instead of using MariaDB CONNECT, SQL Server Linked Server functionality can be used. This allows you to read data from a remote MariaDB database and copy it into SQL Server tables on your local machine. It should be noted, however, that CONNECT gives you more control over type and character set mapping.
Benefits of Migrating Data from MariaDB to SQL Server
- Simple Installation: MariaDB installation is simple, and it makes your Database Administrators’ lives easier. MariaDB has two installation options: install it as a stand-alone server or configure it to work in conjunction with the Server.
- Scaling without Interruption: Migrating data from MariaDB to SQL Server is not hard, it can handle billions of records while returning results in seconds. It supports robust parallel processing, which significantly improves the Server’s analytics speed.
- Greater Business Agility: Industries and businesses are undergoing rapid transformation as a result of frequent market disruption, consumer behavioral changes, etc. Migrating data from MariaDB to SQL Server can provide effective data analytics, deep insights, and the agility required to react and adapt to ever-changing market dynamics.
- Ad Hoc Data Request Scalability: MariaDB allows you to run queries that aren’t normally part of your workflow. It ensures that you are not limited to analyzing data using only structured methods. It enables your organization to keep the Server foundation flexible and to scale requests as needed.
This blog has provided an in-depth overview of MariaDB and SQL Server, as well as various methods for sending data from MariaDB to SQL Server. There are various Data Sources that organizations leverage to capture a variety of valuable data points. But, transferring data from these sources into a Data Warehouse for a holistic analysis is a hectic task.
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Share your experience on Migrating Data From MariaDB to SQL Server in the comments section below.