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Cloud Databases Decoded: AWS vs Azure for the Modern Enterprise
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Cloud Databases Decoded: AWS vs Azure for the Modern Enterprise

From SQL to NoSQL, serverless to data lakes — a no-fluff comparison of cloud database services and what actually works in the real world.

Welcome back to TechTalks with Manoj — the show where we unpack what’s actually powering modern cloud architecture, not just what’s trending on LinkedIn slides or vendor decks.

In today’s episode, we’re going head-to-head with two cloud giants — AWS and Azure — to break down their database ecosystems. Not from a marketing angle, but from a hands-on architect's perspective.

You’ve heard the names — RDS, Cosmos DB, Redshift, Synapse. But which of these services actually deliver under pressure? What are the hidden trade-offs that don’t show up in the pricing calculator?

This episode isn’t just about “features.” It’s about architecture, cost control, performance at scale, and making the right calls when you're staring at an SLA, a backlog of tickets, and a production system you can’t afford to break.

Here’s what we’re getting into:

  • The core differences between AWS and Azure’s relational and NoSQL offerings

  • DynamoDB vs. Cosmos DB — performance, cost predictability, and real-world suitability

  • Data warehousing done right — Redshift vs. Synapse Analytics from an architectural lens

  • Migration nightmares and what nobody tells you about moving from Oracle

  • Why customer support may quietly decide your cloud loyalty

  • And how to avoid costly missteps in multi-cloud or hybrid database strategies

If you're building cloud-native, cost-sensitive, and future-ready systems — this one’s for you.

Let’s dive in.


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