Name: AI Database Comparison: MongoDB vs. PostgreSQL and pgvector
Start: 2025-02-20T00:00:00+00:00
End: 2025-02-20T00:00:00+00:00

Event Concluded

TechDogs-"AI Database Comparison: MongoDB vs. PostgreSQL and pgvector"

Event Type

Webinar

Date

Feb 20, 2025

Time

17:00

Event Linkhttps://www.mongodb.com/resources/solutions/use-cases/ai-database-comparison-mongodb-vs-postgresql-and-pgvector

About Event

Large language models (LLMs) are rapidly reshaping how we build AI solutions, from retrieval-augmented generation (RAG) to AI agents and agentic systems that continuously reason, reflect, and act on new data. The database technology you choose to power these applications can significantly impact the performance, scalability, and success of your AI application. In this webinar, Staff Developer Advocate Richmond Alake will compare two vector search solutions — PostgreSQL with pgvector and MongoDB Atlas Vector Search — and guide you through selecting the right option for your AI workloads. Whether you’re a data engineer, AI architect, or developer, you’ll walk away with actionable insights on how to think about and optimize critical metrics like latency and throughput to meet the demands of modern AI applications.

Tags:

Data AnalyticsAI Database Comparison MongoDB vs PostgreSQL pgvector AI Integration Vector Databases AI-Powered Data Storage NoSQL vs SQL AI Scalable AI Databases Database Performance AI

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Data Management