Focused where it matters. Broad enough for the real workload.
PostgreSQL performance investigation is the core service. Specialist reviews cover SQL Server, pgvector, Snowflake and analytical/OLAP workloads.
Capabilities
Primary
PostgreSQL
Workload-level performance investigations across plans, locks, connections, indexing, vacuum/statistics and production regressions.
SecondarySQL Server
Query Store, plan regressions, blocking, parameter sensitivity, indexing and ORM-sensitive workload reviews.
AI + databasepgvector
HNSW/IVFFlat trade-offs, filtering, latency/recall, memory, index builds and hybrid vector + relational workloads.
AnalyticalSnowflake
Query history, warehouse sizing, pruning/spills, clustering, concurrency and cost/performance investigations.
AnalyticalOLAP / Big Data
Large analytical SQL, partitioning, skew, scan amplification, distributed joins and workload-isolation trade-offs.
How specialist reviews are scoped
The method is the same on every platform: rank the workload by total cost, correlate the symptom with waits, plans and changes, then recommend the smallest safe change with a validation step. What differs is the evidence each platform records.
| Platform | Primary evidence | Typical question |
|---|---|---|
| PostgreSQL, RDS/Aurora | pg_stat_statements, plans, pg_stat_activity, Database Insights | Which statements, waits or changes explain the latency or CPU? |
| SQL Server | Query Store, wait statistics, blocking DMVs | Did a plan change, or is the workload blocked or waiting? |
| pgvector | Filtered query plans, recall against exact search, index size | Is the vector index, the filter or the data growth the bottleneck? |
| Snowflake | QUERY_HISTORY, pruning, spills, queueing | Is cost driven by scans, spills or concurrency? |
| OLAP / analytical | Bytes scanned, partition and file layout, load history | Is the layout serving the main query patterns as data grows? |
PostgreSQL work has a fixed scope and published pricing. Other platforms are scoped individually after a short fit review.
Production evidence
Need an independent PostgreSQL investigation?
Start with the problem and the evidence you already have. You will get a direct answer on whether a scoped investigation is the right next step.
Prefer to talk first? Book a 20-minute triage call.