Question: Why is Single-Table-Design popular in DynamoDB?

Answer

Single-table design is a popular pattern in Amazon DynamoDB because it allows for efficient and flexible data querying.

The main advantage of using a single table is that it allows for more efficient data querying, as all data is stored in a single location. This can reduce the need for complex and costly joins or multiple requests to multiple tables.

Additionally, the single-table design allows for more flexible data querying, as all of the data is stored in a single location. This makes it possible to query data across multiple entities and easily retrieve related data in a single request.

Another advantage of using a single table design is that it allows for easy scaling. Since all data is stored in a single table, it can be easily partitioned and distributed across multiple nodes as the data grows. This makes it easier to handle high read and write loads.

The single-table design also makes it easier to implement complex access patterns, such as filtering and sorting on multiple attributes, by denormalizing your data and storing all the related data in the same table. This can be easily achieved with the help of DynamoDB's flexible schema, allowing for efficient data querying.

Dynobase also provides a "Table Relations" feature, allowing you to navigate your data in a single table easily. This feature can greatly improve your productivity when working with single table design.