Скачать или смотреть Postgres vs. Graph database

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You can also apply to be the guest on TeqTalk: https://www.Teqfocus.com/TeqTalk/

You can connect with:
Jas Kaur, CTO, Teqfocus:   / jas-kaur-5396b237  
Dr. Gajanan Chinchwadkar, former CTO, Dgraph:   / stealth-cto  

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Planning to scale with a graph database? Not so fast. In this insightful TeqTalk snippet, we unpack key strategies and recommendations for selecting the right database for AI and vector-powered workloads.


The expert suggests two real-world options:
Amazon Neptune: A solid graph database if performance and cost meet your needs.
Postgres: A scalable, safer alternative that handles relational + vector use cases and shields you from re-engineering nightmares.


Many graph database products don’t scale, forcing teams to rework architecture midstream. Postgres gives you the flexibility to start small and grow across on-prem and cloud without vendor lock-in.

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This is a must-watch if you're exploring AI infrastructure, vector search, LLM integration, or questioning what qualifies as a true enterprise database.

About podcast:
TeqTalk is a leading technology podcast hosted by Jas Kaur, focused on the future of AI, data, and digital innovation—especially in the healthcare, pharma, and tech space. Each episode features exclusive conversations with CXOs, CIOs, data architects, and industry experts from across the US and Canada.

From AI-powered transformation and natural language data access to real-time insights and data integration, TeqTalk explores how modern businesses can bridge the gap between technology and strategy. Whether you're a tech leader, marketer, or innovation enthusiast, TeqTalk delivers practical knowledge, thought leadership, and cutting-edge trends shaping the future of enterprise solutions.

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