SQL Server may be too lucrative for Microsoft to ditch, but too legacy to love

**TL;DR:** SQL Server may be too lucrative for Microsoft to ditch, but too legacy to love

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What we know

While Microsoft sweeps the confetti off the floor of its Build event, it may be a good moment to reflect on what it didn't say as much as what it did. " The software behemoth's leading database, SQL Server, barely got a mention. On its own, it may not be a big deal, but Microsoft watchers also noted that long-time SQL Server champion Rohan Kumar left the company in June, while Arun Ulag, president of Azure Data, currently holds the SQL Server remit.

He's also responsible for the Fabric analytics and AI platform and a portfolio of open source database services. Taken together with the news that Microsoft's own terms and conditions allow customers to take SQL Server licenses to AWS's RDS database service without paying twice – thanks to a feature that lets them provide their own SQL Server installation media – the vibe around SQL Server has changed. "I don't think it is a priority," said Andrew Snodgrass, research vice president of analyst company Directions on Microsoft.

"With Kumar leaving, that's become very evident. I think the world of Ulag, but [SQL

Source: The Register

Context

Tech news is rarely just a gadget headline. We frame what changed, who benefits, and what to watch next as details firm up.

Why this matters

The immediate headline is only the entry point. The more useful question is who gains leverage, who faces new risk, and whether the change is durable or experimental.

What to watch next

Track whether the story affects total cost of ownership: subscriptions, compatibility, downtime risk, or support burden.

Practical takeaways

1) Treat unconfirmed claims as provisional. 2) Check official statements before changing security or spending decisions. 3) Save links and dates so you can verify updates later.

FAQ

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Last updated: June 16, 2026.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.

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