Spatial endpoints are fast in development but time out with real geography or concurrency.
Enterprise PostGIS Development, Spatial Database Architecture & Query Tuning
Specialized PostGIS development and consulting services. We architect spatial databases, optimize slow spatial SQL queries, design spatial indexing strategies, and build high-throughput geodata APIs.
You probably need this when…
GiST indexes exist, yet plans still scan, spill, or repeat expensive transformations.
Tile generation, proximity search, or polygon overlays compete with transactional traffic.
What the engagement delivers
Every item is tied to an acceptance owner and evidence. Final scope is confirmed after data, security, and integration review.
Workload and slow-query inventory
Ranked EXPLAIN (ANALYZE, BUFFERS) findings
Index, schema, statistics, partitioning, and query recommendations
Validated rewrites and benchmark report
Safe rollout plan, observability checklist, and walkthrough
From evidence to operational handover
- 01
Capture
Collect representative queries, plans, volumes, concurrency, and latency targets.
- 02
Diagnose
Separate query, index, schema, I/O, memory, and application causes.
- 03
Remediate
Test focused changes against a controlled baseline.
- 04
Transfer
Deliver rollout, rollback, monitoring, and team training.
How value is verified
No vanity accuracy number. Evidence is chosen around the operational decision and agreed before delivery starts.
- ✓p50, p95, and p99 latency before and after each accepted change
- ✓Query-plan and buffer evidence—not generic tuning advice
- ✓Load-test results tied to agreed concurrency and dataset size
Frequently asked questions
Can you audit without production access?+
Yes. Sanitized schemas, statistics, plans, and a representative restore are often enough for the first pass.
Will you recommend new infrastructure immediately?+
Only when evidence shows the current design cannot meet the workload.
Can changes be zero downtime?+
Many can. Lock risk, online index strategy, rollout windows, and rollback requirements are assessed explicitly.
What typical performance improvements do clients see after tuning?+
Most clients experience an 80% to 95% reduction in p95 latency. Common wins include replacing sequential scans with partial GiST/BRIN indexes, optimizing spatial joins via ST_Subdivide or bounding-box filters, and tuning PostgreSQL memory parameters (work_mem, maintenance_work_mem) for geographic workloads.
Do you provide a formal before-and-after benchmark report?+
Yes. Every engagement concludes with an auditable benchmark report documenting EXPLAIN (ANALYZE, BUFFERS) plans, p50/p95/p99 query latencies, concurrent connection stress tests, and an operational runbook for your DBA team.
Can you optimize PostGIS running on managed services like AWS RDS/Aurora or Supabase?+
Yes. We specialize in managed cloud environments including Amazon RDS PostgreSQL, Aurora PostgreSQL, Google Cloud SQL, Azure Database for PostgreSQL, and Supabase, working within cloud provider constraints without requiring custom C extensions.
Explore adjacent solutions
Production GeoAI Engineering & Spatial MLOps
We engineer production-grade GeoAI and spatial intelligence systems—from satellite data and spatial infrastructure to custom AI models, Spatial MLOps, APIs, and operational applications.
servicesEnterprise GIS modernization
Enterprise GIS modernization for organizations moving from file-based, manual, or vendor-locked workflows to governed spatial data, APIs, and web applications.
servicesAI-Ready Spatial Data Infrastructure & Engineering
Cloud-native spatial data engineering built specifically for AI, satellite pipelines, and real-time analytics. High-throughput ETL, PostGIS feature stores, STAC ingestion, and sub-50ms vector tile APIs.
Bring us the problem, not a perfect brief.
Three fields start the conversation. An engineer will help determine fit, data readiness, and the smallest useful next step.
Book a Strategy Call →