Author: David Sterling

David Sterling is a PostgreSQL database expert specializing in performance optimization, query tuning, and database administration. With years of experience helping developers and businesses optimize their PostgreSQL deployments, David shares practical insights and best practices on this blog. For inquiries or consulting, contact: [email protected]
Learning resources

How to Migrate MySQL to PostgreSQL: Step-by-Step

MySQL and PostgreSQL are the two most widely used open source relational databases, and the comparison keeps coming up — in benchmarks, in conference talks, and in migration tickets. Recent head-to-head tests continue to show PostgreSQL pulling ahead on advanced query features, JSON handling, and indexing flexibility. If your team has been considering a move, […]

David Sterling 
postgresql

PostgreSQL 19 Beta 2 Lands with Property Graphs, Temporal SQL

The PostgreSQL Global Development Group has announced PostgreSQL 19 Beta 2, released July 16, 2026, with native SQL property-graph support, application-time (temporal) table operations, and a wave of performance and security changes. The second beta of version 19 is a feature preview ahead of general availability, which the project targets for September/October 2026. For teams […]

David Sterling 
postgresql

PostgreSQL for Houston Energy, Logistics, Healthcare, and Aerospace Teams in June 2026

Houston does not have much use for decorative databases. This region runs on terminals, treatment rooms, grid assets, field crews, machine telemetry, maintenance queues, research pipelines, and public-service workflows. The systems behind that work need transactions, flexible data modeling, geospatial awareness, failover, observability, and security at the same time. That is still where PostgreSQL earns […]

David Sterling 
Architecture and operations postgresql

Real-Time Well and Field Sensor Data with TimescaleDB: A Deep Dive for Houston Oil & Gas Operations

If you operate upstream assets in the Greater Houston area, you understand the data volume problem: thousands of sensors generating 5,000–10,000 data points per second across wells, compressors, SCADA systems, separators, and field infrastructure. Traditional relational databases buckle under that load. Time-series databases designed for financial markets don’t speak the language of oil and gas […]

David Sterling 
Application patterns and case studies pgvector postgresql

How Houston Oil & Gas Companies Can Use PostgreSQL to Gain a Competitive Edge

Houston is the energy capital of the world. From upstream exploration and drilling to midstream pipeline operations and downstream refining, the Greater Houston area is home to thousands of oil and gas companies managing some of the most complex, data-intensive operations on the planet. In 2026, that data complexity is only growing — and PostgreSQL […]

David Sterling