Azure SQL Database
SQL Server without a server — the engine most Indian business software already runs on, delivered as a managed service.
Managed database
Chosen per project
Maintainable handover
A great deal of established business software in this region runs on SQL Server, often on a machine in the office that was sized years ago and has never been patched since. Azure SQL is the least disruptive way out of that, because the engine and the T-SQL stay familiar.
It also changes the operating model. Backups, point-in-time restore and failover become platform features rather than tasks, and capacity becomes a dial rather than a purchase order.
What we build with Azure SQL
Migrating an on-premise SQL Server that nobody wants to keep patching
Line-of-business .NET applications needing a reliable database
Reporting workloads that should not compete with transactional load
Systems needing restore-to-a-point-in-time after a bad data change
Where it fits — and where it does not
Good fit when
Existing SQL Server applications
Teams without a DBA who still need proper backups and failover
Workloads with variable demand, where the tier can be changed
Consider something else when
Features only available in a full SQL Server instance — Managed Instance is then the better target
Very small workloads, where a container database is cheaper
Getting off an in-house SQL Server
Four stages. Most of the risk lives in the first one, which is why it comes first.
Assess
Compatibility, size and dependencies established.
Pilot
A copy restored to Azure and tested against the app.
Sync and cut over
Data kept current, switch made in a planned window.
Tune
Tier right-sized and slow queries addressed with real load.
How we work with Azure SQL
Assess before moving
Compatibility checked against the target tier first, so surprises happen in planning rather than at cutover.
Private endpoints
No public endpoint; the database is reachable only from the application network.
Restore rehearsed
A point-in-time restore performed once during the project, so the procedure is known rather than assumed.
Index and query review
Query Store used to find the handful of statements responsible for most of the load.
Our typical Azure SQL setup
| Concern | What we use |
|---|---|
| Tiers | General Purpose or Business Critical; serverless for intermittent use |
| Backups | Automatic, with point-in-time restore across the retention window |
| Networking | Private endpoint, public access disabled |
| Identity | Entra ID authentication instead of shared SQL logins |
| Tuning | Query Store, automatic tuning recommendations reviewed before applying |
Frequently asked questions
Often none, since the T-SQL surface is largely the same. Where a feature is unsupported in the database tier, Azure SQL Managed Instance usually removes the difference.
The technical work is frequently days; the planning, testing and choosing a cutover window take longer. We would not compress the testing to shorten the calendar.
Yes, and for the first months many organisations do, as a fallback until the cloud instance has proved itself through a full reporting cycle.
Topics people search for
Services built with Azure SQL
Cloud Solutions
Hosting designed around what your application actually needs, with the monitoring and backups that make it safe to rely on.
Enterprise Software Development
Systems for organisations where several departments, sites and approval chains all have to work from the same data.
Digital Transformation
Moving a business off paper and spreadsheets without stopping the business to do it.
Custom Software Development
Software shaped around the way your business already works, instead of a packaged product you have to reorganise around.
Tell us what you are trying to build
Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.