October 3, 2023

Why shouldn't you use MySQL on Microsoft Windows?

Why does MySQL run better on Linux? Technical Advantages, Advanced Filesystems and the Role of the Community in Database Performance and Reliability

MySQL is one of the most popular and widely used open-source relational databases in the world. It is known for its flexibility, reliability and performance. However, while MySQL can run on several operating systems, including Microsoft Windows and Linux, it is important to note that it was originally designed and optimized for Linux. This post will explore the technical reasons why running MySQL on Linux is generally a better choice than Windows, with a particular focus on filesystems like XFS and ZFS, which offer significant performance advantages over NTFS.

Development and Optimization for Linux

Birth on Unix-like Systems

MySQL was originally created by Michael Widenius and David Axmark in 1995. The project was born in a Unix environment and, from the beginning, was developed with the goal of being a high-performance, reliable and easy-to-use relational database . Unix's design philosophy had a significant impact on MySQL, influencing not only how it was built, but also how it was optimized over time.

The Unix philosophy emphasizes simplicity, modularity, and reusability of code. These principles are reflected in MySQL through its modular architecture, which allows for easy extensibility and maintenance. The Unix-like approach to software design has also facilitated the integration of MySQL with other tools and services, making it a popular choice for developers working on Linux platforms.

Community and Support

The community of developers and system administrators working with MySQL on Linux is much larger than on Windows. This means it's easier to find resources, guides, and solutions to problems specific to MySQL on Linux.

Native Performance

Since MySQL was developed primarily on Unix-like systems, developers were able to make the most of the APIs and system features specific to these environments. For example, MySQL uses POSIX forks and threads to manage processes, which are optimized for performance on Linux. Additionally, it uses asynchronous I/O features and other advanced programming techniques that are native to Linux, to improve performance and efficiency.

One of the areas where optimization for Linux is most evident is in memory and filesystem management. MySQL on Linux can take advantage of features such as dynamic memory allocation and efficient paging, which are intrinsic to the Linux kernel. This offers a significant advantage in terms of resource management and performance compared to systems that do not support these features natively, such as Windows.

Filesystems: XFS and ZFS vs NTFS

One of the most critical factors when talking about databases is the filesystem. In Linux, we have the option of using filesystems such as XFS and ZFS, which are known for their high performance and reliability.


XFS is a high-performance file system developed by Silicon Graphics, Inc. (now part of Hewlett Packard Enterprise) and first released in 1994. It was designed with the goal of providing high I/O throughput and scalability extreme, making it an ideal choice for applications that require fast and reliable access to data, such as MySQL databases.

Dynamic Inode Allocation

One of the most significant advantages of XFS is its ability to dynamically allocate inodes. Unlike other filesystems that pre-allocate a fixed number of inodes during filesystem creation, XFS creates inodes as needed. This is especially useful for databases like MySQL, where the number of files can vary significantly over time due to operations such as the creation of new tables, indexes, or logs.

Dynamic inode allocation allows XFS to use disk space more efficiently, reducing fragmentation and improving I/O performance. This is crucial for databases, where reading and writing operations must be as fast as possible to maintain high performance.

Journaling and Reliability

XFS uses a journaling mechanism to track changes to the filesystem, thus improving its reliability and data consistency. In the event of a system failure or power outage, journaling can be used to quickly restore the filesystem to its consistent state, reducing downtime and the risk of data loss. This is an essential feature for databases, where data availability and integrity are of primary importance.

Optimizations for I/O Operations

XFS was designed with a particular focus on high-performance I/O operations. It uses advanced algorithms for cache management and I/O query optimization, which can significantly accelerate read and write operations. For MySQL databases, this means that queries can run faster, improving the overall efficiency of the application.


Another strength of XFS is its scalability. It can support filesystems up to 8 exabytes in size and single files up to 8 exabytes in size, making it suitable for databases of any size. Its architecture is also highly scalable in terms of the number of users and workloads, which is critical for database applications that may have very high scalability requirements.


ZFS (Zettabyte File System) is a revolutionary file system initially developed by Sun Microsystems, which is now part of Oracle Corporation. It is known for its robustness, scalability, and a host of advanced features that go far beyond traditional filesystems. ZFS was designed with a particular focus on data integrity and offers a number of mechanisms to ensure that data is always consistent and reliable, making it an excellent choice for databases like MySQL.

Checksumming and Data Integrity

One of the most notable features of ZFS is its extensive use of checksumming to ensure data integrity. Each block of data in the filesystem is associated with a checksum, which is checked every time the block is read. This control mechanism almost completely eliminates the risk of “bit rot,” a phenomenon that can cause silent data corruption. For a database, data integrity is critical, and checksumming offers an additional layer of security.

Compression and Deduplication

ZFS offers native data compression and deduplication capabilities. Compression can mean that less data needs to be read from disk and written to disk, which can speed up I/O operations. Deduplication can be useful for reducing the amount of disk space needed, especially in databases with a lot of redundant data. Both of these features can lead to significant improvements in performance and storage efficiency in a database environment.

Resilience and Failure Recovery

ZFS was designed with a particular emphasis on resilience and failure recovery. It offers features such as mirroring, RAID parity and snapshots, which can be used to protect data and facilitate recovery in the event of hardware failure or human error. These features make ZFS one of the most reliable options for storing critical data such as a MySQL database.


Like XFS, ZFS is also extremely scalable, supporting enormous filesystem sizes. But it goes further, also offering storage “pools” that can be dynamically extended by adding new disks, without the need to reformat or redistribute data. This dynamic scaling is especially useful for databases that grow over time and need more storage space.

Atomic Transactions

Another advantage of ZFS is its atomic transaction model. When writing data to ZFS, either all changes are applied, or none are. This ensures that the filesystem remains in a consistent state even in the event of system failures or power outages, a very desirable attribute for any database system.


One of the main reasons why NTFS is not ideal for hosting MySQL databases is that it lacks database-specific optimizations. Unlike filesystems such as

Lower I/O Performance

NTFS suffers from lower I/O performance than Linux-optimized filesystems such as XFS and ZFS. This is especially evident in I/O-intensive operations, which are common in database environments. While NTFS makes use of mechanisms such as journaling to improve reliability, these can add overhead that further degrades I/O performance.

File Fragmentation

NTFS is more prone to file fragmentation than filesystems like XFS and ZFS. Fragmentation can have a significant impact on the performance of a database, making read and write operations slower. While there are tools for defragmentation, this is a time-consuming process and can result in downtime, which is unacceptable in many production database environments.

Limitations in Scalability

While NTFS can technically scale, it does not offer the same flexibility or advanced scaling options as ZFS or XFS. For example, it does not support horizontal scaling by dynamically adding disks to a storage pool, a feature that can be particularly useful for growing databases.

Lack of Advanced Features

NTFS lacks several advanced features that are beneficial for databases. For example, it does not offer filesystem-level checksumming, native data compression, or deduplication, all features that can improve both the reliability and performance of a database.

Compatibility Issues and Limitations

Case sensitivity

Linux is case-sensitive, which means that “File” and “file” are two separate entities. This is a feature that MySQL exploits to improve performance. Windows, however, is not case-sensitive, which can lead to compatibility issues.

Paths and Directories

MySQL on Linux uses a standardized directory structure that is in line with the Linux Filesystem Hierarchy Standard (FHS). This is not the case on Windows, where the directory structure is completely different, making it more difficult for system administrators to manage and optimize the installation.

Tools and Scripting

Linux offers a wide range of system and scripting tools such as awk, sed, and grep that can be used for automation and management of MySQL. These tools are not natively available on Windows or require workarounds that may not be as efficient or powerful.


Although it is technically possible to run MySQL on several operating systems, including Windows, it is undeniable that the database shows its best performance and reliability when running on a Linux platform. This statement is not accidental, but is supported by a series of technical and community factors that deserve attention.

First, it's critical to consider MySQL's historical roots and optimizations. Born and raised in Unix-like environments, MySQL was developed with a series of optimizations that make it particularly suitable for the Linux ecosystem. These optimizations range from advanced memory and threading management, to using APIs and system features that are native or optimized for Linux. This not only improves performance, but also contributes to greater system stability and reliability.

Another crucial aspect is the choice of filesystem. Linux offers a range of advanced filesystems such as XFS and ZFS, which have been designed with a specific focus on high performance and reliability. These filesystems offer features such as dynamic inode allocation, checksumming, data compression, and data deduplication, which can have a significant impact on the performance and reliability of a MySQL database. In contrast, the default Windows file system, NTFS, while robust, is not optimized for the specific needs of a high-performance database environment.

Finally, the importance of community and system tools cannot be ignored. The Linux community is large and active, offering a wealth of knowledge, guides, and open-source tools that can help optimize and manage a MySQL installation. This is a significant advantage, as it facilitates troubleshooting, performance optimization and database lifecycle management.

Simply put, while MySQL can run on both operating systems, to achieve maximum efficiency, performance and reliability, the Linux platform emerges as the most advisable choice. Between Linux-specific optimizations, the benefits of advanced file systems like XFS and ZFS, and the support of an active and knowledgeable community, the reasons to choose Linux for your MySQL environment are numerous and compelling.

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