Can PostgreSQL Compete with Analytics Specialists?
October 21–24
Can PostgreSQL really compete with DuckDB and ClickHouse for analytics workloads? The answer might surprise you!
This session examines PostgreSQL's capabilities in the analytics space and how it stacks up against specialized engines. We'll explore what's possible when you properly tune PostgreSQL for analytical workloads and discover where it excels versus where purpose-built tools shine.
Beyond raw performance comparisons, we'll tackle the critical decision every team faces: when should you stick with PostgreSQL and when is it time to adopt specialized tools? Through practical decision criteria and real-world considerations, we'll establish clear guidelines that go beyond benchmarks. PostgreSQL's versatility, operational simplicity, and massive ecosystem often make it the pragmatic choice for far more analytics scenarios than commonly believed.
Stop assuming you need specialized tools for every analytical workload. Learn when PostgreSQL is "good enough" and when it's time to reach for purpose-built analytics engines. Sometimes the most pragmatic choice is sticking with the reliable workhorse you already know and trust.
