Rate this video
✅ Github - https://mdb.link/_zg90Rb9S2M
-
Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads.
In this video, we compare PostgreSQL and MongoDB to see which handles Generative AI (GenAI) workloads better. We look at their data models, storage engines, and how they manage large, complex data typical in GenAI applications. Through benchmark tests, we show their efficiency in processing large documents and multi-attribute data, helping you choose the right database for your AI projects.
Related
Quickstart
PyMongoArrow: Bridging the Gap Between MongoDB and Your Data Analysis App
Aug 01, 2024 | 7 min read
Tutorial
The Great Continuous Migration: CDC Jobs With Confluent Cloud and Relational Migrator
Aug 23, 2024 | 11 min read