Question: When to use DynamoDB?

Answered by Rafal Wilinski
Answer
DynamoDB is a perfect choice for all sizes of applications, especially if your application needs predictable read and write performance. DynamoDB thanks to automatic scaling is able to survive the biggest traffic spikes. Moreover, the costs of DynamoDB are very predictable.
DynamoDB can be used for almost anything, including:
- Simple key-value store like metadata store
- Relational data store (Using Adjacency List Pattern \ Single Table Design)
- Geographical data, using Geohashing
- Timeseries, using multiple tables per period
- Caching (even more efficient with DAX)
- Event-driven transaction processing (thanks to DynamoDB Streams)
- Session store/history with TTL (time-to-live)
- Leaderboards
- Shopping carts using Transactions
- Workflow engines
- Relationship graph data stores (Using Adjacency List Pattern)
Moreover, when choosing the database for your next project, you should award a few extra points to DynamoDB if:
- You want to go Serverless. DynamoDB integrates with AWS Lambda and other AWS Serverless offerings really well
- You are going to deal with massive traffic with erratic spikes
- You want to be asynchronous and event-driven
- You want to minimize your costs and scale them ideally with your application usage
Other Common DynamoDB FAQ (with Answers)
- Should you make a new DynamoDB client for each request?
- Does DynamoDB support Multi-AZ?
- How to store graphs in DynamoDB?
- What does DynamoDB support?
- How to store location coordinates in DynamoDB?
- Is LSI automatically created on DynamoDB?
- Is DynamoDB serverless?
- How to connect to DynamoDB?
- Is DynamoDB document-based?
- Is DynamoDB table region specific?
- Are DynamoDB table names supposed to be unique?
- Can a DynamoDB range key be a GSI key?
- Does DynamoDB support nesting data?
- Can DynamoDB be used like a relational database?
- Are DynamoDB table names globally unique?
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