Annie Ghazali, Author at Stormatics

PostgreSQL’s Growing Role in AI Infrastructure

Around 80% of LLMs and AI-powered applications choose either PostgreSQL or Supabase when selecting a database. That level of adoption says something important about where engineering teams are placing their trust. Supabase has become one of the most common starting points for AI products. Most AI frameworks support PostgreSQL and pgvector directly. For many teams, PostgreSQL is already part of the stack before the AI layer is even introduced.

How to know when your team needs PostgreSQL specialist support?

PostgreSQL is one of the most powerful and reliable open-source relational databases in the world. But even the best technology can start to lag when the team managing it lacks deep expertise. Many engineering teams reach a point where their general-purpose knowledge is simply no longer enough to keep up with growing demands. So how do you know when it's time to bring in a PostgreSQL specialist? The answer lies in recognizing specific patterns in your database performance, team's confidence, number of incidents, and architecture health.

Cost of PostgreSQL performance issues

PostgreSQL is widely adopted because it removes licensing constraints and gives companies like OpenAI, Lovable, and Supabase, a reliable foundation for running production systems at scale. However, once deployed, the cost conversation of PostgreSQL shifts away from licensing and toward how efficiently the database supports the workload it is running.

Post Webinar Blog | High Availability in Postgres: Your Guide to 5 Nines and Zero Worries

Semab Tariq conducted a comprehensive session on “High Availability in Postgres: Your Guide to 5 Nines and Zero Worries” on Wednesday, January 22, 2025, at 3 PM GMT. This webinar provided practical strategies to maintain continuous service and minimize disruptions.