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)
- Can DynamoDB do aggregations?
- Does DynamoDB charge for storage?
- How to divert the traffic from S3 to DynamoDB?
- Does sharding affect DynamoDB reads?
- What is DynamoDB white paper, and what are the key takeaways?
- Does DynamoDB support Multi-AZ?
- Can glue write to DynamoDB?
- Does DynamoDB support read replicas?
- How to store location coordinates in DynamoDB?
- Can colons and special characters be used in DynamoDB attributes?
- Should you make a new DynamoDB client for each request?
- Can DynamoDB store documents?
- How to grab data from AWS DynamoDB?
- What are the key differences between DynamoDB and Elasticsearch?
- Is DynamoDB a relational database?
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