Microsoft SQL Server is one of the easiest databases to setup and use, especially if you are developing a .NET application using C# or VB. the visual editor available in Visual Studio makes it much easier to build relational databases. Configuring various constraints like Primary keys, Foreign keys, and mappings is quite straightforward.

With respect to coding, integrating SQL Server data objects with C# is simple with the help of ADO.NET.

Overall, a great product from Microsoft. I have used both the server version as well as the compact editions. Review collected by and hosted on G2.com.

You might have to struggle a bit to integrate Microsoft SQL server

setup if you plan to use it with languages like PHP and Python. However, if you install the right driver, then it shouldn't be much of an issue.

The pricing is a bit on the higher side, especially for the Enterprise Edition. Review collected by and hosted on G2.com.

It stand out for its reliability, performance, and strong integration with the MS ecosystem. What I appreciate most is the maturity of the platform: it provides robust tools lik SQL Server Management Studio that simplify administration, performance and troubleshooting Review collected by and hosted on G2.com.

In my opinion the main downside is the licensing cost, which can become significant as you scale, especially for enterprise features like HA and advanced analytics. Review collected by and hosted on G2.com.

Balance of performance, reliability, and ease of management. The integration of tool and features such as Query Store, execution plans, and indexing options make it easier to optimize and troubleshoot complex queries. it’s easy to use SQL Server frequently in day-to-day operations, Its consistency and predictability make it an excellent choice for both development and production environments. Review collected by and hosted on G2.com.

Certain advanced tuning operations can become cumbersome — especially when working with large datasets or deeply nested queries. Customer support, while responsive, can be inconsistent in terms of technical depth Review collected by and hosted on G2.com.

It’s enterprise-grade stable with deep Microsoft integration and powerful T-SQL, so you get reliability, great tooling, and fast development in one stack. Review collected by and hosted on G2.com.

Lower licensing cost, full feature parity on Linux, and better native JSON + dev tools for modern workflows. Review collected by and hosted on G2.com.

SSMS is a tool where we can monitor insights from the SQL Server instance and review execution plans. Review collected by and hosted on G2.com.

Not on par with competitive AI tools; Co-Pilot still needs improvement. Review collected by and hosted on G2.com.

What I like most about Microsoft SQL Server is its combination of power, reliability, and ease of use. It’s a robust relational database system that handles both small and massive datasets efficiently, making it suitable for everything from single applications to large enterprise solutions. I appreciate its tight integration with the Microsoft ecosystem, including Azure, Power BI, and .NET, which makes reporting, analytics, and application development seamless. Review collected by and hosted on G2.com.

One of the main drawbacks of Microsoft SQL Server is its cost, as licensing can be expensive, especially for enterprise editions or large-scale deployments. It can also be resource-intensive, requiring substantial memory and CPU for optimal performance. While it now supports Linux, it has historically been Windows-centric, which can limit flexibility in some environments. Advanced features like Always On, replication, or partitioning are powerful but often complex to configure and maintain. Additionally, the different editions with varying feature sets can be confusing, and Microsoft’s licensing rules can sometimes be tricky to navigate, particularly in cloud or hybrid setups. Overall, SQL Server is powerful but can be costly, resource-heavy, and complex for advanced use cases. Review collected by and hosted on G2.com.

Performance and control in large volumes of data, seamless integration with .NET / C#.

I like SQL Server because it is solid, predictable, integrates perfectly with .NET, and gives me total control when working with large data and critical processes. Review collected by and hosted on G2.com.

Be heavy on RAM and CPU, expensive licenses in production Review collected by and hosted on G2.com.

Strong security protection.

The embedded objects for automatic data management like triggers, task etc. Flexible sql scripts and SPs are great tools to extend the function. Review collected by and hosted on G2.com.

It didn’t provide smart coding, need to copy/paste from schema, table name to fields. And a bit slow when query large data. Review collected by and hosted on G2.com.

I like Microsoft SQL Server's stability, performance, and strong security features. It handles transactional workloads very reliably and supports high availability with backup and recovery options. It also integrates well with enterprise applications and tools, making it a dependable choice for mission critical systems. Review collected by and hosted on G2.com.

Licensing can be expensive for enterprises. Performance tuning and query optimization require experienced DBAs, especially as data grows. Scaling very large workloads can become complex compared to some newer cloud-native databases. Review collected by and hosted on G2.com.

I feel that ease of use and setup is key. That it's robust ability to handle large data sets and makes report running an ease. Review collected by and hosted on G2.com.

I feel that SSMS is lacking some features that dbeaver for instance has and is taken for granted. For instance the ability to easily delete tables from a database so you can recreate them. In SSMS you have to drop the table through scripting and isn't as elegant of a solution. Review collected by and hosted on G2.com.