Data consistency
Data consistency is a critical aspect of any database, both relational and non-relational. However, non-relational databases present some unique challenges around data consistency. Here are three challenges specific to non-relational databases, along with explanations and code snippets.
Lack of transactions
Unlike relational databases, non-relational databases cannot support transactions, or – to be more precise – they can only support limited forms of transactions. Transactions are critical to ensure data consistency, as they allow for multiple database operations to be treated as a single unit of work. Without transactions, data consistency can be compromised if one operation fails and others are left incomplete.
To address this challenge, DevOps teams may need to implement custom transaction-like mechanisms in non-relational databases, such as conditional updates or two-phase commit protocols. These mechanisms can help ensure that data modifications...
