RDS vs DynamoDB Choose the Right AWS Database

Your database choice can make or break your app. In this AWS database series video, we put RDS and DynamoDB head-to-head so you can pick the right one — relational thinking vs NoSQL access patterns, with real examples and a decision framework. 0:00 Welcome to Hired in IT 0:38 The decision that almost killed a flash sale 1:57 What you'll be able to do by the end 2:33 The database choice that shapes everything 3:49 Relational model: tables, rows, and relationships 4:29 NoSQL model: items with flexible attributes 5:21 Checkpoint: DynamoDB item limits 5:46 Checkpoint: what's the core difference? 6:03 DynamoDB's hard item ceiling: 400 KB 6:38 Why access patterns decide everything 8:29 Design from the query, not the table 9:23 Create a DynamoDB table the right way 9:51 Checkpoint: what does access-pattern-first mean? 10:09 See RDS's engine and HA choices in the console 10:38 What RDS automates for you 11:05 Scaling RDS: up for writes, out for reads 11:43 When RDS wins: transactions and reporting 13:06 RDS mistakes that cost you in production 13:40 Checkpoint: RDS round 14:16 The mental model shift that trips everyone 15:25 When DynamoDB wins: millions of small, fast reads 16:00 Inside a DynamoDB item 17:19 Create a DynamoDB table in the console 18:49 On-demand vs provisioned capacity 20:14 Checkpoint: partition key vs sort key 20:33 DynamoDB mistakes that burn you later 22:05 Checkpoint: DynamoDB round 23:11 The four-step decision framework 24:59 RDS vs DynamoDB cheat sheet 26:47 Hybrid: use both in one app 28:32 Worked example 1: a payments system 30:07 See the query difference: SQL join vs DynamoDB Query 30:45 Checkpoint: which one do you choose? 32:03 Consistency options in DynamoDB 33:27 The whole video in three takeaways 35:08 Next up: data warehousing with Redshift 35:53 Subscribe for the next part 36:02 Go Build Something 📚 Full series: AWS Certified Cloud Practitioner (CLF-C02) Certification Guide Part 1: AWS Database Services Explained: Pick the Right Database Every Time Part 2: Amazon RDS Explained: Managed SQL Databases in AWS (No Ops Headache) Part 3: Amazon Aurora Explained: Cloud-Native MySQL & PostgreSQL for Beginners Part 4: Amazon DynamoDB Explained: NoSQL Data Modeling That Won't Cost You a Fortune ▶ Part 5: RDS vs DynamoDB: Which AWS Database Should You Choose? Part 6: Amazon Redshift Explained: Cloud Data Warehouse Analytics Part 7: Migrate Databases to AWS Without Downtime: AWS DMS Explained 🔔 Subscribe and hit the bell so you never miss a new video. 📥 Download the free IT Career Roadmap at the link below. https://bit.ly/4yjWjcY 💬 Don't see the IT topic you're looking for? Drop it in the comments — we'll research it and make a video on it.