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HomePostgreSQL

PostgreSQL

AlloyDB pricing, internals and FinOps: performance per dollar on Google AlloyDB
AlloyDB

AlloyDB Pricing and Internals: 2026 FinOps Best Practices Guide

AlloyDB pricing is simple to read and easy to get wrong, because every line on the invoice is driven by a piece of the engine's internals that most teams never look at. Compute is billed [...]
AlloyDB
AlloyDB

Google AlloyDB Architecture, Internals and Performance: 2026 Best Practices Guide

AlloyDB is the one managed PostgreSQL service where the interesting part is below the SQL layer. The query engine, catalog, extensions and wire protocol are PostgreSQL (16, 17 and, since 25 March 2026, 18). What [...]
Oracle Exadata to PostgreSQL 18 Migration
Case Studies

Oracle Exadata to PostgreSQL 18 Migration: An Airline Operations Case Study from the MinervaDB Data Migration Team

This is the MinervaDB Data Migration Team's write-up of an Oracle Exadata to PostgreSQL 18 migration for an airline operations platform: crew scheduling, flight status, aircraft rotation and the reporting that hangs off them. The [...]
Architecture

Polyglot Persistence: The Proven Case for 5 Data Models

Your transactional database is not failing you. It is doing precisely what it was engineered to do: take a write, make it durable, isolate it from every other write, and never lie about it. The [...]
BYOC Database Security
Architecture

BYOC Database Security: A Measurable Standard in 7 Domains

BYOC database security conversations usually stall on the same question: is this deployment secure? Asked like that, the question has no answer. A ClickHouse cluster or a PostgreSQL fleet running in your own AWS account [...]
pgvector on RDS deployment patterns: coupled, sidecar and split architectures with HNSW memory sizing
AI

pgvector on RDS: What CTOs Should Know Before Building AI Features on Their OLTP Database

pgvector on RDS is the fastest path to shipping an AI feature, and it is also one of the quickest ways to turn a healthy transactional database into a latency incident. Both statements are true [...]
PostgreSQL 18 vacuum tuning diagram showing the autovacuum decision pipeline, new PostgreSQL 18 parameters and per-table policy tiers
PostgreSQL

Your Engineers Shouldn’t Be Doing PostgreSQL 18 Vacuum Tuning at Midnight

PostgreSQL 18 vacuum tuning is a design activity that belongs in a change review, next to your schema migrations and your capacity model. In most engineering organisations it is still handled somewhere else entirely: at [...]
Oracle Exadata Cost Optimization
ClickHouse

Oracle Exadata Cost Optimization: Migrating to an Open Source Data Infrastructure Stack Without Compromising Performance, Scalability, Availability, or Reliability

MinervaDB whitepaper on Oracle Exadata cost optimization: measure Exadata license spend, optimize in place, then migrate to PostgreSQL 18, ClickHouse 26.3 LTS, Kafka/Debezium and Valkey with code, diagrams, TCO model and a rollback-safe cutover plan.
[...]
Redis 8.8 cache tier cutting time to result for distributed PostgreSQL query performance in SaaS platforms - hourglass on calendar symbolizing query latency and TTL-based caching
Database Performance

How Redis 8.8 Improves Distributed PostgreSQL Query Performance in SaaS Platforms

Redis 8.8 improves distributed PostgreSQL query performance in SaaS platforms: kvobj memory savings, INCREX rate limiting, hot-key telemetry and a measured cache-aside design.
[...]
PostgreSQL

PostgreSQL 18 Performance Internals: Optimizer and Indexing Advancements

PostgreSQL 18 performance internals deep dive: async I/O, B-tree skip scan, self-join elimination and planner rewrites — verified with real EXPLAIN output on 18.4.
[...]

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Table of Contents

×
  • Lab Environment and Methodology
  • Asynchronous I/O: PostgreSQL 18 Performance Internals at the Storage Layer
  • B-tree Skip Scan: Multicolumn Indexes Without the Left-Most Rule
  • Optimizer Advancements: Smarter Plans From the Same SQL
    • Self-join elimination
    • OR-clause and IN (VALUES) normalization
    • DISTINCT key reordering
  • Other Indexing Advancements in PostgreSQL 18
  • Supporting Improvements: Hash Joins, Vacuum, pg_upgrade Statistics
  • Production Implications and Upgrade Stance
  • Version Boundaries and What We Did Not Test
  • References and Further Reading
→ Index