On-demand
MySQL vs. PostgreSQL: The Tech Showdown
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.
[EDB 웨비나] AI와 Vector 개요 및 RAG 활용 방안
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.
Reliable Analytics at Scale with WarehousePG
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.
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.
