![]() Reason behind this pattern: To retrieve multiple, heterogeneous item types using a single request. We will help understand how do we achieve this with a single table design for a complex domain model such as ours Section 1: Why this pattern has been invented? Once we decided on DynamoDB, we could have easily gone down the path of creating a relational structure by creating a table per domain entity but thanks to Rick Houlihan, Inventor of #SingleTableDesign we now have only one table with millions of records of data spread across indexes belonging to various domain entities providing millisecond latencies. Applications can access this log and view the data items as they appeared before and after they were modified, in near-real time And they are designed to provide consistent single-digit millisecond latency for any scale of workloads.Īnother key feature Dynamo Streams give the benefit of capturing changes to items stored in a DynamoDB table, at the point in time when such changes occur using events.ĭynamoDB Streams captures a time-ordered sequence of item-level modifications in any DynamoDB table and stores this information in a log for up to 24 hours. We chose Amazon DynamoDB as they are highly partition-able and allow horizontal scaling at scales that other types of databases cannot achieve. Ledger : Amazon Quantum Ledger Database (QLDB).Types of NoSQL Databases we had to choose from: ![]() Highly functional: NoSQL databases provide highly functional APIs and data types that are purpose built for each of their respective data models.High-performance: NoSQL database are optimised for specific data models and access patterns that enable higher performance than trying to accomplish similar functionality with relational databases.Some cloud providers handle these operations behind-the-scenes as a fully managed service. Scalability: NoSQL databases are generally designed to scale out by using distributed clusters of hardware instead of scaling up by adding expensive and robust servers.The flexible data model makes NoSQL databases ideal for semi-structured and unstructured data. Flexibility: NoSQL databases generally provide flexible schemas that enable faster and more iterative development.NoSQL databases are widely recognized for their ease of development, functionality, and performance at scale.Īt TILL, we use a combination of NoSQL and relational databases depending on our use-cases. NoSQL databases are purpose built for specific data models and have flexible schemas for building modern applications.
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