The Stack Overflow Podcast
Is Postgres the best database for GenAI?
Mar 7, 2025
Jeremy Kelway, VP of Engineering for Analytics, Data, and AI at EDB, shares his wealth of knowledge on the capabilities of Postgres in the realm of generative AI. He highlights Postgres as a top choice for AI applications due to its stability and community backing. The discussion covers the integration of diverse data types and the implications of regulations like GDPR. They also delve into the emerging trends of retrieval augmented generation and the importance of data sovereignty, emphasizing the need for robust data management strategies in AI.
28:12
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Quick takeaways
- Postgres stands out for its stability and performance in AI applications, particularly with the introduction of PG Vector for vectorized data handling.
- Data sovereignty has become crucial in AI adoption, necessitating clear governance protocols for data access, management, and compliance.
Deep dives
The Rise of Postgres in AI Applications
Postgres has emerged as a favored choice for AI applications due to its stability, performance, and extensive data type support. The introduction of PG Vector has significantly enhanced its capabilities for handling vectorized data, making it more adaptable for generative AI tasks. As developers familiar with Postgres transition into AI development, their existing skills can be applied efficiently, allowing for a smoother learning curve. This trend reflects the overall growth in the use of Postgres, which has become the standard database in many enterprises, aligning well with the increasing demand for AI solutions.
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