SQL Server
SQL Server that is fast, recoverable and ready for AI.
We design, tune and migrate SQL Server databases, and prepare them for AI features such as retrieval and assistants that read your data safely.
- Versions
- 2012 to 2025
- Cloud
- Azure SQL
- Kickoff
- 48 hours
What we deliver
What our SQL Server team delivers
Query and index tuning
Find and fix the queries that slow your application.
Azure SQL migration
Assessment and cutover from on-premises SQL Server.
High availability
Always On, log shipping and tested restore procedures.
AI-ready data
Read-only views and permissions that let assistants query data without risk.
SQL RecycleBin
Capture deleted and updated rows so they can be queried back.
Technology
- SQL Server
- T-SQL
- Azure SQL
- SSIS
- SSRS
- Always On
- Query Store
How it starts
From first call to first commit in 48 hours.
You interview and approve every engineer. Scale up or down with two weeks' notice.
Day 1
Tech alignment
We agree on stack, goals and scope, finalize the statement of work, and send a shortlist of matched engineers.
Day 2
Interview, approve, kick off
You interview the shortlist and approve an engineer. Work starts the same day in your Slack, Jira and Git.
Related work
Proof from a real engagement
See how we delivered similar work, or browse all case studies.
BlueberryCMS · United States
a 7-year dedicated team that re-architected a legacy CMS.
BlueberryCMS has worked with a dedicated 92 Logics team for seven years. The team replaced a monolithic CMS with modular .NET Core services and a React front end, and continues to build and support the platform.
Read case study →FAQ
Common questions
Can you speed up our SQL Server without changing the application?
Often yes. Index and query-plan work alone frequently produces large gains; BlueberryCMS saw 40% faster load times after back-end and SQL optimization.
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