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.
Governing EDB Postgres® AI at Scale with Red Hat Ansible
Part 1 of this series closed the deployment gap: automated provisioning, sub-30-second failover, and validated HA/DR that took one customer from 10 shared Postgres clusters to more than 500 individually managed instances, with automated failover replacing all hands incident response.
Own What's Next: Modernize Your Data Foundation for the AI Era with EDB and Suse
Every enterprise database strategy is under the same pressure at once: control costs, escape proprietary lock-in, meet sovereignty requirements, and get ready for AI. Modernizing legacy databases, Oracle first, is often the opening move, but migration itself isn't the destination.
9월 EDB Postgres AI Summit Seoul 2026에서 큰 호응을 얻었던 'EDB AI 플랫폼 아키텍처' 세션의 Continue 편입니다. AI Data Platform/AI Agent로서의 EDB 제품 라인업부터 pgvector·vectorplus, AIDB Extension 기반 In-DB AI 파이프라인까지, 오픈소스 기반 AI 데이터 플랫폼을 실전 데모로 확인하세요.
PostgreSQL is officially the industry’s most popular and reliable open source database, according to the 2025 Stack Overflow’s 2025 Developer Survey. PostgreSQL has a record-breaking 55.6% adoption rate among the global developer community, and for three consecutive years has held the title of the #1 most loved database. This surge has disrupted the long-standing hierarchy of database technologies, with MySQL falling to 4th place in 2025.
Modernization in the AI Era: Observability Meets Hybrid Control
Enterprises today are trapped by leftover legacy systems and fragmented data silos that drain resources and stall AI innovation. Gartner predicts that as organizations pivot to meet these AI demands, 40% will adopt a hybrid computing paradigm by 2028.
최근 기업용 AI 도입이 가속화되면서, 데이터를 어떻게 효율적으로 관리하고 AI 모델과 결합할 것인지가 비즈니스의 핵심 과제가 되었습니다.
이에 EDB는 오픈소스 기반 Postgres의 강력한 성능을 AI 환경에 최적화하여 활용할 수 있는 3부작 웨비나 시리즈를 준비했습니다. 단순한 이론을 넘어 실무 데모와 하이브리드 관리 전략까지, EDB가 제시하는 AI 데이터 인프라의 미래를 직접 확인해 보시기 바랍니다.
WarehousePG—the sovereign data warehouse built on EDB Postgres® AI (EDB PG AI)—is designed to break this bottleneck. By leveraging Massively Parallel Processing (MPP) architecture, WarehousePG provides a stable, petabyte-scale analytical database that thrives under high concurrency.
PostgreSQL vs. MySQL: Choosing the Right Foundation
The webinar discussed the current state and future prospects of MySQL and Postgres databases, emphasizing the advantages of Postgres for modern data platform needs. MySQL, once a leading database for web applications, has seen a decline in investment and innovation, particularly after Oracle's acquisition, leading to reduced community contributions and fewer resources. In contrast, Postgres has grown significantly, supported by a vibrant open-source community and substantial investments from EDB.
EDB Postgres AI Factory: Learn How to Operate GenAI and Agentic Data Workloads
The demand for rapid innovation clashes with the need for data sovereignty, security, and efficiency. Stop struggling with complex, time-consuming integrations that sacrifice control and governance.
