Query optimisation specialists for your dedicated team.

Where Query optimisation fits in a long-term product team.

Optimisation without a plan is guessing. The execution plan shows whether the engine scanned or sought, where the row estimates diverged from reality and which step consumed the time. Most optimisation effort spent without reading one is spent on the wrong part of the query.

Indexes are the first tool and the most over-applied. Every index speeds up reads and slows writes, and a table with fifteen indexes carries a write cost that is easy to overlook. The right number is the smallest set that serves the queries that matter, which requires knowing which those are.

What your dedicated team does with Query optimisation.

The most valuable optimisation is often not optimisation. A query that is slow because it returns fifty thousand rows to a page showing twenty needs pagination, not an index; one recomputing the same aggregate hourly needs a materialised result.

Recognising that takes understanding what the query is for, which is product knowledge as much as database knowledge, and it builds up in a long-term team, as described in how it works.

Common Query optimisation use cases.

• Plans read before changes are made Effort focused on the step that costs the most.
• Index sets kept minimal The smallest set serving real queries, so write cost stays proportionate.
• Questioning the query itself Pagination or materialisation where the query should not be running as written.

Adding Query optimisation skills to your team.

Query work sits with the discipline that owns the data layer, a dedicated data engineering team when the database is the constraint.

You can add Query optimisation capacity as one dedicated specialist or as part of a wider remote team, managed by a service delivery manager from our offices in Thailand. Companies hire dedicated developers this way under one agreement and one monthly fee.