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)
- Is DynamoDB highly available?
- Is DynamoDB OLTP or OLAP?
- Why must table be empty to enable DynamoDB global tables?
- How to count rows in DynamoDB?
- How many DynamoDB tables can I have at a maximum?
- How to access DynamoDB from Apache Storm?
- How to store location coordinates in DynamoDB?
- How to access DynamoDB from Android Studio?
- How to grab data from AWS DynamoDB?
- How to write complex queries for a DynamoDB table?
- How to dump multiple DynamoDB tables?
- How is data stored in DynamoDB?
- How to enable DynamoDB monitoring?
- How to create an index in DynamoDB? (how to create an index in dynamodb)
- How to store graphs in DynamoDB?
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