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.
Build with EDB Postgres® AI: Part 5: Working with Time-Series Data in Postgres
Unlock advanced time-series analytics in PostgreSQL using the Bluefin extension. Learn how to analyze financial transactions, IoT data, and seasonal trends efficiently within Postgres—ideal for AI-driven forecasting, anomaly detection, and predictive analytics.
Build with EDB Postgres® AI: Part 4: Agentic Analytics with AI Agents
See how to develop AI agents for analytics. Learn how PostgreSQL can fuel data-driven conversation, enabling teams to interact with business data and automate decision-making opportunities.
Build with EDB Postgres® AI: Part 3: Multimodal Search Across Diverse Data
Learn how to create a search engine that queries structured, unstructured, and image data using EDB Postgres AI Factory’s AI Pipelines. Combine relational power with AI Pipelines to detect fraud, match content, and surface insights faster.
Build with EDB Postgres® AI: Part 2: Querying and Governing Lakehouse Tables
Discover how to query Apache Iceberg and Delta Lake tables directly from EDB Postgres AI using Analytics Accelerator. Learn how PostgreSQL enhances data governance and metadata management through Lakekeeper, enabling high-performance analytics across modern lakehouse architectures.
Build with EDB Postgres® AI: Part 1: Chat Assistant as an Internal Knowledge Base
Learn how to build an AI-powered knowledge assistant using EDB Postgres AI and GenAI Builder. See how PostgreSQL can drive enterprise search, helping teams query documentation, policies, and product data instantly, all within a secure Postgres environment.
Powering the Next Generation of Enterprise Innovation with Postgres
Postgres has become the database of choice for enterprises worldwide, valued for its flexibility, open innovation, and strong community. But organizations need more than open source alone to run mission-critical workloads at scale. They need a partner who can deliver enterprise-grade performance, resilience, and the ability to harness the next wave of innovation: AI with Postgres.
