Most attempts to unify analytics still move data to get the job done: faster pipelines, tighter syncs, more automated ETL. That's real progress, but it's still movement — and every copy created has a cost, whether it shows up as stale data, bloated bills, or lost control over where data lives and who can touch it.
Own Your Data Lifecycle: The Converged Analytics Series
Analytics is converging — Postgres, open lakehouses, and specialized engines are merging into one governed platform. This six-part series traces the full arc: why convergence is happening now, how Postgres data becomes a live analytical estate on Apache Iceberg, and how ClickHouse and WarehousePG query it together with zero duplication. From there, live demos show the model in action — real-time personalization, log and observability consolidation, and governed AI agent access — proving that moving less data, not moving it faster, is what makes an analytics stack defensible, auditable, and yours to control.
Postgres as Your AI Data Platform: Architecture, Vectors, and What to Watch Out For
We cover the architecture decisions that matter most, from data sovereignty and latency trade-offs to the operational challenges of running AI workloads alongside transactional ones. Leave with a clear picture of where Postgres fits in the modern AI stack.
EDB Summer Academy is a free virtual series covering high availability, Kubernetes, AI infrastructure, and analytics at scale. Each session goes beyond the basics, with practical depth you can apply straight away.
As organizations shift to agentic AI, the divide between transactional and warehouse data must disappear. To power AI agents that reason in real-time, you need a data platform that is modern, observable, sovereign, with governance built in. Join our live session to learn how EDB Postgres AI eliminates silos and simplifies your architecture across hybrid estates.
기업들이 에이전틱 AI(Agentic AI) 시대로 전환함에 따라, 트랜잭션 데이터와 데이터 웨어하우스 간의 경계는 허물어져야 합니다. 실시간으로 상황을 판단하고 추론하는 AI 에이전트를 원활하게 구동하기 위해서는 현대적이고 가시성이 확보되며, 데이터 주권과 강력한 거버넌스가 내장된 데이터 플랫폼이 필수적입니다.
Beyond the Latency Gap: Building Sovereign, Real-Time Agentic Applications on a Unified Postgres Estate
Although enterprises have invested in extracting, storing, and moving massive amounts of data, only 13% are successfully achieving ROI from their AI initiatives, according to a global study of over 2,000 executives. To overcome the challenges of data fragmentation, which can hinder AI implementation, companies need a transition to real-time workloads across the data to AI stack.
Navigating Disruption: Architecting Your Sovereign Data Estate for Resiliency
As systemic risks reshape the landscape in 2026, simply having a backup is no longer enough; true resiliency requires a fundamental shift in how database infrastructure is built to survive physical or geopolitical disruption.
