Pragmatic bitmap filters in Microsoft SQL Server
vldb.org
vldb.org
SQL Server has some incredible 3rd party tools build up around it. 3~4 Red Gate tools can one-shot your entire devops lifecycle.
I still prefer SQLite for anything that can handle reasonable, non-zero recovery point objectives. But, if it's serious business and we cant drop anything on the floor I am reaching for MSSQL without even blinking.
Additionally columnstore support is awesome!
I'm paying $10/month since 2012 and happy. Cannot find even a hint of these DTU packages on the Azure site to link to. (Good lord, Microsoft.)
The argument always was that it's worth paying the MS licensing tax because their proprietary engine is so much faster and the hardware is so expensive that the result is a net win. In other words, the "total cost of ownership" argument made by the Microsoft sales people was actually valid. In the era of two to twelve core servers, this was true! Not any more. Open source database engines at the same dollar spend levels run circles around MS SQL.
More importantly, MS SQL is falling behind on features. It has a handful of inexperienced developers keeping it on life support. Its 2025 release added just a handful of major features (Regex, better JSON support, and an AI index). None of these are "core" changes, they're all things that a junior dev can "tack on" to an existing product relatively easily and safely. Meanwhile, fundamental limits remain unchanged for decades and are starting become big problems:
1. The MS SQL parallel executor can't utilise more than 64 threads per individual query. On the aforementioned 512-core boxes, this limits it to 12.5% of the capacity of one rack mount server!
2. It can't natively use modern SSD drives with greater than 4 KB atomicity. This is practically all server-grade SSDs, including Azure Premium SSD v2 and all v6 or later VM SKUs! This leads to absurdities, like the Windows 2025 + SQL 2025 Azure Marketplace images reporting "not supported" on database-optimised Azure VMs and refusing to install.
3. Terrible support for external data in blobs, such as parquet files in data lakes. Just compare the "effortless" approach in something like DuckDB to the mess that is CETAS and the like in SQL PolyBase. All development effort in this space is being sunk into the cloud-only Microsoft Fabric product. The on-prem database engine is being left entirely behind.
Etc...
I wouldn't start new projects on MS SQL in 2026. The Titanic is starting to tilt a bit now, the lights are still on and the music is playing, but the smart people know it is time to go find a life boat.