
Philippe Noël
Founder of ParadeDB, building an Elasticsearch alternative natively on PostgreSQL. Expert in full-text search and analytics within PostgreSQL.
Top 3 podcasts with Philippe Noël
Ranked by the Snipd community

Dec 5, 2024 • 47min
#034 Rethinking Search Inside Postgres, From Lexemes to BM25
Philippe Noël, Founder and CEO of ParadeDB, dives into the revolutionary shift in search technology with his open-source PostgreSQL extension. He discusses how ParadeDB eliminates the need for separate search clusters by enabling search directly within databases, simplifying architecture and enhancing cost-efficiency. The conversation explores BM25 indexing, maintaining data normalization, and the advantages of ACID compliance with search. Philippe also reveals successful use cases, including Alibaba Cloud’s implementation, and practical insights for optimizing large-scale search applications.

Nov 12, 2024 • 33min
E155: Taking on Elasticsearch - the ParadeDB Story
Philippe Noël, Co-founder and CEO of ParadeDB, shares insights on building a modern alternative to Elasticsearch using Postgres. He discusses the seamless integration of search directly with databases and the benefits for e-commerce and FinTech users. Philippe highlights his learnings as a second-time founder, emphasizing the role of user feedback and community engagement in product development. He also addresses the unique challenges of serving enterprise needs and the importance of strategic messaging in competing with established technologies.

Jan 16, 2025 • 1h
Building a Native Search Engine in PostgreSQL: ParadeDB's Journey to Replace Elasticsearch with Philippe Noël
Philippe Noël, founder of ParadeDB and an expert in PostgreSQL, discusses his venture to create a native search engine alternative to Elasticsearch. He explores the challenges of integrating full-text search and analytics within PostgreSQL. The conversation touches on the benefits of the bring-your-own-cloud model and the evolution of database extensions. Philippe emphasizes the rising demand for traditional search capabilities amidst AI advancements and addresses misconceptions about PostgreSQL's scalability and the trade-offs in cloud architectures.