SQL Server 2025 is here — and I want to hear from experts!

SQL Server 2025 Is Here — Looking for Real-World Expert Insights!

I'm exploring how organizations and developers are experiencing SQL Server 2025 so far — especially around new features, performance gains, licensing changes, AI enhancements, and cloud strategies.

If you’ve tested or upgraded already, I’d love to hear your perspectives.
Here are a few discussion points (pick any!):

Key Questions for Discussion

1. Which new SQL Server 2025 feature feels like the biggest game-changer?
(Performance, security, storage engine, AI, or T-SQL upgrades?)

2. Is the performance noticeably better compared to SQL Server 2022?
Any real benchmarks or query execution comparisons?

3. AI-Assisted Tuning — helpful or hype?
How reliable is Microsoft’s new adaptive tuning & AI-powered optimization?

4. Cloud vs On-Prem — which provides better ROI in 2025?
Are companies shifting more towards Azure SQL / Managed Instance?

5. Upgrade decisions — when is it truly worth upgrading to 2025?
(Workloads, cost, compatibility, or security-driven reasons.)

6. Your favorite new 2025 feature for developers?
T-SQL changes, JSON enhancements, monitoring tools, or AI features?

7. Any recommended datasets or beginner-friendly learning resources?
Good for students, analysts, or new SQL learners?

https://www.c-sharpcorner.com/article/sql-server-2025-whats-new-whats-changed/

1) Biggest game changer: the native vector/AI features + proper JSON type/indexing. Being able to keep vector data and AI integration (RAG, embeddings, etc.) inside SQL instead of bolting on extra services is huge for some workloads.

2) Performance vs 2022: there is a noticeable improvement on busy OLTP systems thanks to Optimized Locking and the new IQP tweaks—less blocking without code changes is very welcome.

3) AI-assisted tuning: Copilot in SSMS is “useful assistant”, not “DBA replacement”. It’s great for sketching queries, explaining plans, and trying options, but you still need to sanity-check everything.

4) Cloud vs on-prem ROI: 2025 mostly narrows the gap by bringing more Azure SQL features down to on-prem and tightening Azure Arc/Fabric integration. For many shops it makes a hybrid story (on-prem core, cloud analytics/AI) more realistic than “all-in cloud”.

When to upgrade:

• If you’re still on 2016/2017 and planning a hardware/OS refresh anyway.

• Maybe/targeted: from 2019/2022 only if you specifically need AI/vector, JSON improvements, or the new performance features.