Many engineering teams rely on PostgreSQL for operational workloads, but as data volume and query complexity grow, performance bottlenecks can quickly emerge. Slow analytical queries, heavy joins and increasing concurrency demands often push Postgres beyond what it was originally designed to handle.

In this session, Ryan will walk through how teams can migrate from PostgreSQL to SingleStore to dramatically improve performance while maintaining the familiarity of SQL. You'll see how a unified architecture designed for both transactions and analytics allows organizations to run complex queries on live operational data without moving data between systems.

We’ll also explore real-world patterns for improving query latency, scaling workloads and supporting modern AI-driven applications.

What You’ll Learn:

•  Identify performance limitations in traditional PostgreSQL architectures

•  Improve query speed and concurrency using a distributed SQL system

•  Run real-time analytics directly on operational data

•  Modernize Postgres-based applications without major rewrites

Whether you're scaling SaaS applications, analytics pipelines or AI workloads, this session will show how a modern data platform can unlock significant performance gains.

Speakers