AI-driven tuning that ranks every query by business impact, proposes precise rewrites, and simulates the fix before it ships.
An AI query advisor that analyzes your top workloads, explains why each plan is suboptimal, and proposes the specific rewrite, index, or schema change that will improve it — with quantified predicted impact.
Most query tuning guides point at the biggest offenders. We go further: we tell you the fix, prove it on a replica, estimate the runtime cost and migration risk, and hand the engineer a PR that's ready to review.
How enterprises deploy this service to solve specific, high-stakes problems.
The optimizer proposed a covering index on a three-column lookup that the team had missed for two years. Shadow validation against replayed market-open traffic confirmed a 72% p99 reduction before rollout.
Rewriting 4 tenant-facing aggregations and adding 2 partitioned indexes delivered a 7.5× improvement on the heaviest workload, with zero schema downtime.
The advisor flagged a CTE pattern that was forcing full table scans at peak hours. A join rewrite + one composite index held p99 under 40ms through the holiday event.
Continuously scan live workload for high-impact optimization candidates.
Generate concrete fixes with predicted speedup and migration cost.
Shadow-run against replayed production traffic on a replica.
Hand the engineer a reviewable PR with rollback plan.
Every recommendation comes as a reviewable diff, not a bullet point.
We estimate migration cost, lock duration, and blast radius up front.
Every fix is proven on replayed traffic before a human sees it.
Book a 30-minute working session with our team. We'll walk through your stack, your pain points, and what a pilot looks like.
