PostGIS 3.5 + PostgreSQL 17 Geospatial Server Sizing (GiST, SP-GiST & MVT Tiles)
Geospatial polygon intersections (ST_Intersects, ST_DWithin) and live Mapbox Vector Tile generation (ST_AsMVT) are both CPU-intensive (GEOS C++ geometry math) and TOAST-read heavy.
PGSizer RAM, Buffer & NVMe Sizing Matrix for POSTGIS-NVME
| Deployment Scale | Memory Allocation | Buffer / Pool Setting | Matched Node Tier | Architecture Target |
|---|---|---|---|---|
| Country / Regional Logistics (80 GB GIS) | 16–32 GB DDR5 | 8GB |
Hostinger KVM 8 / Vultr HF | <12ms MVT Tile Render |
| Multi-Country Mobility & Fleet (350 GB) | 64 GB Dedicated VDS | 18GB |
UltaHost 64GB VDS (800GB NVMe) | 8-Core Parallel GEOS |
| Full Planet OSMImport (1.2 TB+ PostGIS) | 128 GB Bare-Metal | 36GB |
InterServer / UltaHost 2TB NVMe | Fast osm2pgsql Slim Mode |
PGSizer Configuration Snippet & DBA Rules for POSTGIS-NVME
-- PostGIS 3.5 + PG17 Spatial Clustering & Parallel MVT Tuning
CREATE EXTENSION IF NOT EXISTS postgis;
-- Sort physical heap blocks by GeoHash / Hilbert curve for 5x faster NVMe cache locality!
CREATE INDEX CONCURRENTLY idx_parcels_geom ON land_parcels USING gist (geom);
CLUSTER land_parcels USING idx_parcels_geom;
ANALYZE land_parcels;
-- Boost per-worker memory for complex polygon ST_AsMVT & ST_Union
ALTER SYSTEM SET work_mem = '64MB';
ALTER SYSTEM SET max_parallel_workers_per_gather = 4;- In PostgreSQL + PostGIS, geometries sorted randomly on disk force hundreds of scattered 8KB reads per bounding-box viewport. Running pg_repack or CLUSTER on your GiST index groups nearby polygons onto contiguous NVMe blocks.
- Upgrade GEOS to 3.12+/3.13+ alongside PostGIS 3.5 for massive speedups on ST_Intersects and coverage validation.
- Cache rendered ST_AsMVT protobuf tiles at your CDN/LiteSpeed edge (ChemiCloud / Cloudflare) so Postgres only computes uncached zoom viewports.
Matched NVMe Providers for POSTGIS-NVME on PGSizer (2026-11-12 Public Rates)
Public rates retrieved 2026-11-12; promotional and renewal prices may change — verify current terms on each vendor checkout page.
UltaHost Dedicated VDS & Bare-Metal (32GB–192GB DDR5 ECC)
Zero I/O Steal Dedicated VDS & Enterprise NVMe RAID-10 for 250GB–2TB+ Postgres Clusters
Vultr High Frequency 3.8GHz+ Local NVMe & Bare Metal
3.8GHz+ High-Clock CPUs + Direct-Attached NVMe for Sub-0.3ms WAL fsync in SG, Tokyo & EU
InterServer Dedicated Ryzen 2TB NVMe & Price-Lock KVM VPS
Lifetime Renewal Price-Lock + 64GB–128GB Bare-Metal Ryzen w/ 2TB Enterprise NVMe (ZFS Ready)
PGSizer DBA Questions for POSTGIS-NVME
How much RAM and disk does importing full OpenStreetMap Planet take?
With osm2pgsql flex output in slim mode, provision at least 64GB–128GB RAM and 1.8TB–2TB of local PCIe NVMe (such as InterServer Bare-Metal Ryzen 2TB or UltaHost 128GB Bare-Metal) so flat-node lookups run at memory speed.
Additional PGSizer Blueprints Related to POSTGIS-NVME
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PG17-OLTPOpen PG17-OLTP Blueprint on PGSizer →
PostgreSQL 17 OLTP SaaS Tuning Blueprint (shared_buffers, Vectorized I/O & Autovacuum)
Out-of-the-box PostgreSQL 17 ships with a conservative 128MB shared_buffers and spinning-disk cost assumptions (random_page_cost = 4.0). Unlocking PCIe Gen4 NVMe speed requires tuning buffer residency, vectorized read-ahead, and aggressive autovacuum.
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PGBOUNCER-POOLOpen PGBOUNCER-POOL Blueprint on PGSizer →
PgBouncer Transaction Pooling for 2,000+ Serverless & Node.js Connections
Every raw PostgreSQL connection forks an OS process (~9.5MB RSS) and inflates Snapshot/LockManager contention. PgBouncer multiplexes 2,000+ ephemeral Next.js/Serverless sockets onto 80–120 warm Postgres backends at ~2KB per client.
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PGVECTOR-HNSWOpen PGVECTOR-HNSW Blueprint on PGSizer →
pgvector 0.8 + PostgreSQL 17 Hybrid Search (HNSW halfvec + BM25 / GIN)
Consolidate relational metadata, RBAC permissions, and million-scale AI embeddings inside a single ACID database. With pgvector 0.8 halfvec (16-bit floats), HNSW index memory drops by 50% with >99.2% recall.