MySQL vs SQL Server: Which Database Should You Use in 2026?

Quick Comparison Table

Before diving into the details, here is a side-by-side snapshot of MySQL and SQL Server across the features that matter most:

Feature	MySQL	SQL Server
License / Cost	Open-source (GPL). Community Edition is free. Oracle offers paid Enterprise Edition.	Commercial. Express is free (limited). Standard and Enterprise require per-core licensing.
OS Support	Linux, Windows, macOS. Linux is the most common production OS.	Windows and Linux (since SQL Server 2017). Containers supported.
Default Port	3306	1433
SQL Dialect	MySQL SQL (ANSI SQL with MySQL extensions)	T-SQL (Transact-SQL, Microsoft's extended SQL)
Primary IDE	MySQL Workbench (free)	SQL Server Management Studio (SSMS, free)
Max Database Size	Unlimited (InnoDB). Limited by storage hardware.	524 PB (Enterprise). Express limited to 10 GB.
Enterprise Features	Group Replication, InnoDB Cluster, MySQL Router, MySQL Shell.	SSIS, SSRS, SSAS, Always On, In-Memory OLTP, temporal tables, row-level security.
Best For	Web apps, startups, Linux-first stacks, cost-sensitive projects.	.NET/Microsoft stack, enterprise BI, compliance-heavy environments.

The table tells the high-level story: MySQL wins on cost and platform flexibility; SQL Server wins on enterprise tooling and Microsoft ecosystem integration. The rest of this article breaks down each factor in detail.

Cost and Licensing

Cost is often the deciding factor, especially for startups and small teams. The licensing models are fundamentally different.

MySQL licensing

MySQL Community Edition is free and open-source under the GNU General Public License (GPL). You can download it, run it in production, and never pay Oracle a cent. This is the version that powers most of the web, including WordPress, Shopify, and Facebook (which runs a heavily modified fork).

MySQL Enterprise Edition is Oracle's commercial offering. It adds enterprise features like MySQL Enterprise Backup, MySQL Enterprise Monitor, Thread Pool, Audit, Encryption, and Firewall plugins. Pricing is per-server and typically starts at around $2,000/year per server, negotiated through Oracle sales.

MySQL HeatWave is Oracle's fully managed cloud database service that combines OLTP and OLAP in a single system. It competes directly with Azure SQL and Amazon RDS.

For most projects, Community Edition is all you need. The enterprise features are nice-to-haves, not must-haves.

SQL Server licensing

SQL Server Express is free but heavily limited: 10 GB maximum database size, 1 GB RAM usage, and 4 CPU cores. It works for development, small applications, and learning, but most production workloads outgrow it quickly.

SQL Server Standard uses per-core licensing at approximately $3,945 per 2-core pack (list price). A typical 8-core server costs around $15,780 in licenses alone. Standard edition caps at 128 GB RAM and lacks some advanced features.

SQL Server Enterprise costs approximately $15,123 per 2-core pack. That same 8-core server runs $60,492 in licensing. Enterprise removes all resource limits and includes every feature: Always On availability groups, in-memory OLTP, advanced analytics, and unlimited virtualization.

Microsoft also offers Server + CAL licensing (Client Access Licenses) for smaller deployments where per-core pricing would be excessive, starting at about $931 per server plus $230 per CAL.

The cost difference is stark. A MySQL production server costs $0 in database licensing. An equivalent SQL Server Enterprise deployment can cost tens of thousands of dollars per year. This is the single biggest reason MySQL dominates in the startup and web development world.

Syntax Differences

Both MySQL and SQL Server use SQL, but each has its own extensions and quirks. If you are migrating between them or writing cross-compatible queries, these are the differences that will trip you up.

LIMIT vs TOP / OFFSET FETCH

The most common syntax difference. MySQL uses LIMIT; SQL Server uses TOP or the newer OFFSET FETCH syntax:

-- MySQL: Get the first 10 rows
SELECT name, email
FROM users
ORDER BY created_at DESC
LIMIT 10;

-- MySQL: Pagination (skip 20, get 10)
SELECT name, email
FROM users
ORDER BY created_at DESC
LIMIT 10 OFFSET 20;

-- SQL Server: Get the first 10 rows (TOP)
SELECT TOP 10 name, email
FROM users
ORDER BY created_at DESC;

-- SQL Server: Pagination (OFFSET FETCH, SQL Server 2012+)
SELECT name, email
FROM users
ORDER BY created_at DESC
OFFSET 20 ROWS FETCH NEXT 10 ROWS ONLY;

SQL Server's OFFSET FETCH is actually ANSI SQL standard compliant, while MySQL's LIMIT is a MySQL-specific extension. However, LIMIT is more concise and easier to remember.

IFNULL vs ISNULL

-- MySQL: Replace NULL with a default value
SELECT IFNULL(phone, 'N/A') AS phone FROM users;

-- Also works in MySQL (ANSI SQL standard):
SELECT COALESCE(phone, 'N/A') AS phone FROM users;

-- SQL Server: Replace NULL with a default value
SELECT ISNULL(phone, 'N/A') AS phone FROM users;

-- Also works in SQL Server (ANSI SQL standard):
SELECT COALESCE(phone, 'N/A') AS phone FROM users;

Use COALESCE if you want cross-database compatibility. It works in both MySQL and SQL Server (and PostgreSQL, Oracle, and SQLite).

AUTO_INCREMENT vs IDENTITY

-- MySQL: Auto-incrementing primary key
CREATE TABLE users (
    id INT AUTO_INCREMENT PRIMARY KEY,
    name VARCHAR(100) NOT NULL,
    email VARCHAR(255) UNIQUE NOT NULL
);

-- SQL Server: Auto-incrementing primary key
CREATE TABLE users (
    id INT IDENTITY(1,1) PRIMARY KEY,
    name VARCHAR(100) NOT NULL,
    email VARCHAR(255) UNIQUE NOT NULL
);

IDENTITY(1,1) means start at 1 and increment by 1. MySQL's AUTO_INCREMENT is simpler but less configurable.

Backticks vs square brackets

-- MySQL: Escape reserved words with backticks
SELECT `order`, `group`, `select`
FROM `table`
WHERE `key` = 'value';

-- SQL Server: Escape reserved words with square brackets
SELECT [order], [group], [select]
FROM [table]
WHERE [key] = 'value';

Both databases also support double quotes for identifier quoting when ANSI_QUOTES mode is enabled (MySQL) or by default (SQL Server).

GROUP_CONCAT vs STRING_AGG

-- MySQL: Concatenate values from multiple rows
SELECT
    department,
    GROUP_CONCAT(name ORDER BY name SEPARATOR ', ') AS employees
FROM staff
GROUP BY department;

-- SQL Server (2017+): Concatenate values from multiple rows
SELECT
    department,
    STRING_AGG(name, ', ') WITHIN GROUP (ORDER BY name) AS employees
FROM staff
GROUP BY department;

STRING_AGG was added in SQL Server 2017. Before that, you had to use the XML PATH trick, which was one of the most common SQL Server frustrations.

Date functions: NOW() vs GETDATE()

-- MySQL
SELECT NOW();                          -- 2026-03-12 14:30:00
SELECT CURDATE();                      -- 2026-03-12
SELECT DATE_FORMAT(NOW(), '%Y-%m-%d'); -- 2026-03-12
SELECT DATEDIFF(end_date, start_date); -- difference in days

-- SQL Server
SELECT GETDATE();                              -- 2026-03-12 14:30:00.000
SELECT CAST(GETDATE() AS DATE);                -- 2026-03-12
SELECT FORMAT(GETDATE(), 'yyyy-MM-dd');        -- 2026-03-12
SELECT DATEDIFF(DAY, start_date, end_date);    -- difference in days

Notice that MySQL's DATEDIFF takes (end, start) while SQL Server's takes (unit, start, end). This is a common migration bug. SQL Server's DATEDIFF is more flexible because you can specify the unit (DAY, MONTH, YEAR, HOUR, etc.).

If you are working across both databases, AI2SQL can automatically convert queries between MySQL and SQL Server syntax, saving you from memorizing these differences.

Development Tools

The developer experience varies significantly between the two platforms.

MySQL Workbench

MySQL Workbench is the official GUI tool from Oracle. It is free, cross-platform (Windows, Linux, macOS), and includes a visual query builder, ER diagram designer, schema migration tools, and performance dashboards. It is functional but can feel dated compared to modern IDEs. Many MySQL developers prefer third-party tools like DBeaver, DataGrip, or HeidiSQL.

SQL Server Management Studio (SSMS)

SSMS is one of SQL Server's strongest advantages. It is a mature, powerful IDE that has been refined over two decades. Features include IntelliSense for T-SQL, visual query execution plans, Activity Monitor for real-time performance, integration with SQL Server Agent for job scheduling, and built-in profiling and tuning tools. SSMS is free but Windows-only.

Azure Data Studio

Microsoft's cross-platform alternative to SSMS, built on VS Code. It works with both SQL Server and PostgreSQL (and MySQL through extensions). Azure Data Studio supports Jupyter notebooks for SQL, making it popular for data analysis workflows. It runs on Windows, Linux, and macOS.

Command-line tools

# MySQL command-line client
mysql -u root -p -h localhost mydatabase

# SQL Server command-line (sqlcmd)
sqlcmd -S localhost -U sa -P 'YourPassword' -d mydatabase

# SQL Server cross-platform CLI (mssql-cli, with auto-completion)
mssql-cli -S localhost -U sa -d mydatabase

Both have capable CLI tools, but MySQL's client is simpler and more widely available on Linux systems by default.

Performance

Performance comparisons between MySQL and SQL Server are nuanced. Neither is universally faster. The winner depends on the workload type.

Web workloads (MySQL advantage)

MySQL's InnoDB engine is optimized for high-concurrency OLTP workloads. It handles thousands of concurrent connections efficiently with a relatively small memory footprint. The MySQL thread-per-connection model is simple and works well for the short-lived queries typical of web applications.

MySQL also benefits from widespread use in web stacks. PHP, Python (Django), Ruby (Rails), and Node.js all have battle-tested MySQL drivers with connection pooling. ProxySQL and MySQL Router provide advanced load balancing and query routing for read-heavy workloads.

Enterprise analytics (SQL Server advantage)

SQL Server's query optimizer is more sophisticated for complex analytical queries. Key performance features that MySQL lacks:

• Columnstore indexes - Store and compress data by column rather than row. Analytical queries that scan large tables run 10x to 100x faster because the engine reads only the columns needed.
• In-Memory OLTP - Memory-optimized tables that eliminate disk I/O and latch contention. Critical for high-frequency trading, session state, and IoT data ingestion.
• Adaptive query processing - The query optimizer learns from execution history and adjusts plans automatically. This includes adaptive joins, interleaved execution for multi-statement table-valued functions, and batch mode on rowstore.
• Query Store - Built-in query performance tracking that stores execution plans and runtime statistics. Lets you force a known-good plan when the optimizer makes a bad choice.

Connection pooling

MySQL creates a new thread for each connection. Under very high connection counts (10,000+), this can become a bottleneck. Solutions like ProxySQL or MySQL's thread pool plugin (Enterprise only) mitigate this.

SQL Server uses a worker thread pool with a lighter-weight scheduling model. It handles large numbers of concurrent connections more gracefully out of the box, though application-level connection pooling is still recommended.

Bottom line

For a typical web application with thousands of simple queries per second, MySQL and SQL Server perform comparably. MySQL has a slight edge in raw throughput for simple operations. SQL Server pulls ahead when queries are complex, involve large aggregations, or need real-time analytics alongside transactional workloads.

Enterprise Features

This is where SQL Server justifies its price tag. The enterprise feature gap is significant.

SQL Server enterprise stack

• SSIS (SQL Server Integration Services) - ETL tool for data import, export, and transformation. Visual workflow designer with hundreds of built-in connectors. The standard for data integration in Microsoft shops.
• SSRS (SQL Server Reporting Services) - Enterprise reporting engine. Paginated reports, interactive dashboards, email subscriptions. Integrates with SharePoint and Power BI.
• SSAS (SQL Server Analysis Services) - OLAP engine for multidimensional data analysis. Powers cube-based analytics, data mining, and tabular models that feed Power BI.
• Always On Availability Groups - High-availability solution with automatic failover, readable secondary replicas, and no shared storage requirement. Supports cross-datacenter disaster recovery.
• In-Memory OLTP - Memory-optimized tables and natively compiled stored procedures. Eliminates latch contention and disk I/O for hot data.
• Temporal Tables - System-versioned tables that automatically track the full history of data changes. Query data as it existed at any point in time with FOR SYSTEM_TIME AS OF.
• Row-Level Security - Define policies that transparently filter rows based on the user executing the query. Critical for multi-tenant applications and regulatory compliance.
• Dynamic Data Masking - Mask sensitive data (emails, credit cards, SSNs) at the database level so non-privileged users see obfuscated values without changing application code.

MySQL enterprise features

• Group Replication - Multi-primary replication where every node can accept writes. Provides built-in conflict detection and automatic failover. The foundation of InnoDB Cluster.
• InnoDB Cluster - Integrated high-availability solution combining Group Replication, MySQL Router (for transparent connection routing), and MySQL Shell (for management and monitoring).
• MySQL Router - Lightweight middleware that routes application connections to the correct MySQL instance. Handles failover transparently without application changes.
• MySQL Enterprise Monitor - Real-time monitoring, query analysis, and advisory rules (paid Enterprise Edition).
• MySQL Enterprise Audit - Audit logging for compliance (paid Enterprise Edition).
• MySQL Enterprise Backup - Hot online backup with incremental and compressed options (paid Enterprise Edition).

The gap is clear: SQL Server includes BI, reporting, ETL, and advanced security features out of the box (with the right license). MySQL requires third-party tools or paid Oracle add-ons to match. If your organization needs integrated business intelligence, SQL Server's built-in stack saves significant integration effort.

Cloud Options

Both databases have strong cloud offerings, but the options differ by provider.

MySQL in the cloud

• Amazon RDS for MySQL / Aurora MySQL - The most popular managed MySQL service. Aurora is Amazon's MySQL-compatible engine with up to 5x better performance and automatic storage scaling up to 128 TB.
• Azure Database for MySQL - Microsoft's managed MySQL service with built-in high availability, automatic backups, and Flexible Server deployment for fine-grained control.
• Google Cloud SQL for MySQL - Managed MySQL on Google Cloud with automatic replication, backup, and machine learning integration.
• Oracle MySQL HeatWave - Oracle's own managed MySQL with integrated analytics processing that runs OLAP queries directly on the MySQL database without ETL.
• PlanetScale - Serverless MySQL platform built on Vitess (the scaling engine YouTube uses). Schema migrations without downtime, branching for database schemas, and per-query pricing.

SQL Server in the cloud

• Azure SQL Database - Microsoft's flagship cloud database. Fully managed, serverless option available, built-in AI-powered tuning, and hyperscale tier for databases up to 100 TB. Deeply integrated with the Azure ecosystem.
• Azure SQL Managed Instance - Near-100% compatibility with on-premises SQL Server. Supports SQL Agent, cross-database queries, CLR, and linked servers. The easiest path for lift-and-shift migrations from on-premises SQL Server.
• Amazon RDS for SQL Server - Managed SQL Server on AWS. Supports Express, Standard, and Enterprise editions. Multi-AZ deployments for high availability.
• Google Cloud SQL for SQL Server - Managed SQL Server on Google Cloud. Supports Standard and Enterprise editions.

If you are already on Azure, SQL Server (as Azure SQL) gets a home-field advantage with tighter integration, better pricing, and features like Elastic Pools for multi-tenant workloads. MySQL has more cloud provider choices and better support for serverless architectures through services like PlanetScale and Aurora Serverless.

OS and Platform Support

Platform support has historically been a major differentiator, though the gap has narrowed.

MySQL: Born cross-platform

MySQL has run on Linux, Windows, macOS, FreeBSD, and Solaris since its early days. Linux is the dominant production OS for MySQL, with Ubuntu and CentOS/RHEL being the most common choices. Installing MySQL on Linux is a one-liner:

# Ubuntu/Debian
sudo apt install mysql-server

# CentOS/RHEL
sudo yum install mysql-server

# macOS (Homebrew)
brew install mysql

MySQL's lightweight footprint means it runs well on everything from a Raspberry Pi to bare-metal servers with hundreds of cores.

SQL Server: Windows roots, Linux adoption

SQL Server was Windows-only for its first 21 years. SQL Server 2017 added Linux support, which was a landmark move. SQL Server 2019 and 2022 improved Linux compatibility significantly, though some features like SSRS, SSIS, and SSAS still require Windows.

# SQL Server on Ubuntu
sudo apt install mssql-server
sudo /opt/mssql/bin/mssql-conf setup

# SQL Server via Docker (any OS)
docker run -e "ACCEPT_EULA=Y" -e "SA_PASSWORD=YourStrong!Pass" \
    -p 1433:1433 \
    mcr.microsoft.com/mssql/server:2022-latest

Docker containers have made SQL Server much more accessible for development on macOS and Linux. The container image is production-ready and widely used in CI/CD pipelines.

However, if you need the full SQL Server ecosystem (SSIS, SSRS, SSAS, SQL Agent with full features), you still need Windows Server. For Linux-first organizations, MySQL remains the more natural choice.

When to Use MySQL

MySQL is the right choice in these scenarios:

Web applications

MySQL is the default database for web development. The LAMP stack (Linux, Apache, MySQL, PHP) powered the first generation of the web, and MySQL remains the go-to for WordPress (which powers 43% of all websites), Laravel, Django, Ruby on Rails, and Node.js applications. The ecosystem support is unmatched.

Startups and cost-sensitive projects

Zero licensing cost. Period. When you are bootstrapping a product and every dollar matters, MySQL Community Edition gives you a production-grade database for free. You can always migrate to a paid solution later if your needs change.

Linux-first infrastructure

If your entire stack runs on Linux (and most modern infrastructure does), MySQL is a more natural fit. Package managers, configuration files, log management, and monitoring tools all work seamlessly. SQL Server on Linux is capable but still feels like a port in some edge cases.

Open-source preference

If your organization has an open-source-first policy (common in government, education, and some enterprises), MySQL or its fully open-source fork MariaDB meets that requirement. SQL Server is proprietary software regardless of the edition.

Read-heavy workloads

MySQL excels at read-heavy workloads with simple queries. Read replicas are straightforward to set up, and MySQL's query cache (though deprecated, replaced by ProxySQL caching) and InnoDB buffer pool are optimized for serving repeated read patterns quickly.

Massive scale

The largest MySQL deployments in the world run at Facebook, YouTube (via Vitess), Uber, Booking.com, and GitHub. If your scaling needs are extreme, there is a proven path with MySQL, and tools like Vitess and ProxySQL make horizontal scaling achievable.

When to Use SQL Server

SQL Server is the right choice in these scenarios:

.NET and Microsoft ecosystem

If you are building with C#, ASP.NET, Entity Framework, or any part of the Microsoft stack, SQL Server is the natural pairing. The integration is seamless: Entity Framework's SQL Server provider is the most mature and well-tested, Azure DevOps pipelines have built-in SQL Server tasks, and Visual Studio has native SQL Server tooling.

Enterprise business intelligence

If your organization needs integrated reporting (SSRS), ETL pipelines (SSIS), OLAP cubes (SSAS), and Power BI integration, SQL Server provides all of this in a single, unified platform. Building equivalent capabilities with MySQL requires stitching together multiple third-party tools.

Compliance and security requirements

SQL Server's built-in security features, including row-level security, dynamic data masking, Always Encrypted (client-side encryption), Transparent Data Encryption (TDE), and auditing, make it the preferred choice for organizations with strict compliance requirements (HIPAA, SOX, GDPR, PCI DSS). These features are available out of the box without third-party plugins.

Windows-centric environments

If your servers run Windows Server, your team uses Active Directory, and your organization standardizes on Microsoft technologies, SQL Server integrates naturally. Windows Authentication eliminates the need to manage separate database credentials. Group Managed Service Accounts handle security automatically.

Existing Microsoft ecosystem

If your organization already pays for Microsoft 365, Azure, and Windows Server licenses, SQL Server licensing may be included or discounted through Enterprise Agreements. The marginal cost of adding SQL Server to an existing Microsoft stack is often lower than the sticker price suggests.

Complex analytical queries

If your application mixes OLTP (transactional) and OLAP (analytical) workloads, SQL Server's columnstore indexes, in-memory tables, and advanced query optimizer handle this hybrid pattern better than MySQL. You can run real-time analytics on live transactional data without a separate data warehouse.

Migration Between MySQL and SQL Server

If you need to migrate between these databases, here are the key things to plan for:

Key differences to address

• Data types - MySQL's TINYINT(1) for booleans becomes BIT in SQL Server. MySQL's TEXT/BLOB types map to VARCHAR(MAX)/VARBINARY(MAX). MySQL's ENUM has no direct SQL Server equivalent.
• Auto-increment - AUTO_INCREMENT becomes IDENTITY. Sequences (available in both since MySQL 8.0 and SQL Server 2012) are the cross-compatible alternative.
• String functions - CONCAT_WS, SUBSTRING_INDEX (MySQL) have different equivalents in SQL Server. LENGTH becomes LEN (but LEN trims trailing spaces).
• Stored procedures - MySQL uses DELIMITER for procedure definitions. SQL Server uses BEGIN...END blocks with different variable syntax (@variable instead of session variables).
• Date handling - NOW() becomes GETDATE(). DATE_FORMAT becomes FORMAT. The DATEDIFF argument order is different (as shown in the syntax section above).

Migration tools

MySQL to SQL Server: Microsoft's SQL Server Migration Assistant (SSMA) for MySQL automates schema conversion and data migration. It handles most data type mappings and flags incompatible objects for manual review.

SQL Server to MySQL: There is no official Microsoft tool for this direction. Third-party tools like SQLyog, dbForge Studio, and MySQL Workbench's migration wizard can handle schema and data transfer. For query conversion, AI2SQL's SQL Server to MySQL converter translates T-SQL syntax to MySQL syntax.

Query conversion: For ongoing work with both databases, use AI2SQL's MySQL to SQL Server converter to translate queries between dialects automatically. This is especially useful for teams that maintain applications on both platforms.

How AI2SQL Helps

Whether you work with MySQL, SQL Server, or both, AI2SQL eliminates the friction of writing and converting queries.

Natural language to SQL. Describe what you need in plain English, and AI2SQL generates the correct query for your specific database. Select MySQL or SQL Server as your target, and the generated query uses the right syntax, functions, and conventions for that platform.

Cross-database conversion. Paste a MySQL query and convert it to SQL Server, or vice versa. AI2SQL handles LIMIT-to-TOP conversion, function name differences (IFNULL to ISNULL, NOW() to GETDATE()), and data type mapping automatically. This is invaluable during migrations and for teams that work across both platforms.

Query optimization. AI2SQL analyzes your queries and suggests index improvements, join optimizations, and syntax improvements specific to your database engine. A well-optimized query can mean the difference between a 30-second report and a sub-second response.

Learn both dialects. Every generated query includes an explanation of what each clause does. If you know MySQL and need to learn T-SQL (or vice versa), AI2SQL accelerates the learning curve by showing you equivalent patterns in both dialects.

If you are choosing between MySQL and SQL Server or need to work with both, try AI2SQL free and generate queries in either dialect instantly.

Frequently Asked Questions

What is the main difference between MySQL and SQL Server?

MySQL is an open-source relational database originally developed by MySQL AB (now owned by Oracle). It uses standard SQL with MySQL-specific extensions. SQL Server is Microsoft's commercial relational database that uses T-SQL (Transact-SQL). The biggest differences are licensing (MySQL is free under GPL, SQL Server requires paid licenses beyond Express), platform support (MySQL runs on Linux, Windows, and Mac natively, while SQL Server added Linux support in 2017), and enterprise tooling (SQL Server includes built-in BI tools like SSIS, SSRS, and SSAS).

Is MySQL faster than SQL Server?

MySQL is generally faster for simple read-heavy web workloads due to its lightweight architecture and efficient connection handling. SQL Server performs better for complex analytical queries, especially with features like columnstore indexes, in-memory OLTP, and advanced query optimizer hints. For most web applications, the performance difference is negligible. The right choice depends more on your tech stack, team expertise, and feature requirements than raw speed.

Can I migrate from MySQL to SQL Server or vice versa?

Yes, migration between MySQL and SQL Server is possible but requires careful planning. Key differences include syntax (LIMIT vs TOP, AUTO_INCREMENT vs IDENTITY, IFNULL vs ISNULL), data types (MySQL TINYINT(1) for booleans vs SQL Server BIT), and stored procedure syntax. Microsoft provides the SQL Server Migration Assistant (SSMA) for MySQL-to-SQL-Server migrations. For query conversion, AI2SQL can help translate between dialects automatically.

Is MySQL free to use in production?

MySQL Community Edition is free and open-source under the GPL license, and you can use it in production at no cost. Oracle also offers MySQL Enterprise Edition with additional features for a commercial license fee. SQL Server has a free Express edition, but it is limited to 10 GB database size, 1 GB RAM, and 4 CPU cores. For production workloads beyond these limits, SQL Server Standard or Enterprise licenses are required, which can cost thousands of dollars per core.

Should I learn MySQL or SQL Server in 2026?

Learn MySQL if you are focused on web development, startups, open-source projects, or Linux-based infrastructure. MySQL is more widely used in the web ecosystem and the skills transfer to MariaDB and other MySQL-compatible databases. Learn SQL Server if you are working in enterprise environments, .NET development, or business intelligence. Ideally, learn both since core SQL knowledge transfers between them and tools like AI2SQL can help you convert queries between dialects.