When should you use DynamoDB?

When should you use DynamoDB?

When to use DynamoDB:

1. When key-value or simple queries are present.
2. When a very high read/write rate is needed.
3. When auto-sharding is required.
4. When auto-scaling is required.
5. When low latency is required.
6. When there is no size or throughput limit.
7. When there is no tuning.
8. When high durability is required.

How do DynamoDB tables work?

In DynamoDB, tables, items, and attributes are the core components that you work with. A table is a collection of items, and each item is a collection of attributes. DynamoDB uses primary keys to uniquely identify each item in a table and secondary indexes to provide more querying flexibility.

How do I use DynamoDB?

Getting Started with DynamoDB

1. Basic Concepts in DynamoDB.
2. Prerequisites – Getting Started Tutorial.
3. Step 1: Create a Table.
4. Step 2: Write Data to a Table Using the Console or AWS CLI.
5. Step 3: Read Data from a Table.
6. Step 4: Update Data in a Table.
7. Step 5: Query Data in a Table.
8. Step 6: Create a Global Secondary Index.

How many DynamoDB tables should I use?

You should maintain as few tables as possible in a DynamoDB application. Most well designed applications require only one table.

Why you should not use DynamoDB?

The post You probably shouldn’t use DynamoDB highlights why DynamoDB is a poor choice for fast growing datasets. As data grows, so do the number of partitions in order to automatically scale out the data (each partition is a maximum of 10GB). However, the total provisioned throughput for a table does not increase.

Is DynamoDB OLTP or OLAP?

DynamoDB is designed for OLTP use cases — high speed, high velocity data access where you’re operating on a few records at a time. But users also have a need for OLAP access patterns — big, analytical queries over the entire dataset to find popular items, or number of orders by day, or other insights.

What are benefits of DynamoDB?

DynamoDB is an Amazon Web Services database system that supports data structures and key-valued cloud services. It allows users the benefit of auto-scaling, in-memory caching, backup and restore options for all their internet-scale applications using DynamoDB.

How to create and delete tables in DynamoDB?

This section describes how to use the AWS Command Line Interface (AWS CLI) and the AWS SDKs to create, update, and delete tables in Amazon DynamoDB. You can also perform these same tasks using the AWS Management Console.

What do you need to know about DynamoDB?

As a key-value database, it allows storing an item with an ID and then getting an item back. As a document-oriented database, it allows storing complex nested documents. DynamoDB is a serverless database, meaning that when you work with it, you do not need to worry about individual machines.

Can you read multiple items with the same partition key in DynamoDB?

You can use DynamoDB’s Query API operation to read multiple items with the same partition key. Thus, if you need to retrieve multiple heterogenous items in a single request, you organize those items so that they are in the same item collection. Let’s look at an example from my DynamoDB data modeling talk at AWS re:Invent 2019.

Is it good to use relational joins in DynamoDB?

DynamoDB closely guards against any operations that won’t scale, and there’s not a great way to make relational joins scale. Rather than working to make joins scale better, DynamoDB sidesteps the problem by removing the ability to use joins at all. But as an application developer, you still need some of the benefits of relational joins.