How is Neo4j acid?

How is Neo4j ACID?

When it comes to distributed transactions, one of the crucial aspects to consider is atomicity, consistency, isolation, and durability – all of which are referred to as the ACID principles. ACID compliant systems ensure that database updates and transactions are executed with strong consistency guarantees, resulting in a robust and reliable way of managing data. In the case of Neo4j, a graph database specifically designed for complex data connections and relationships, how exactly is it ACID? This article aims to explain how Neo4j fits the ACID bill, using real-world examples, bolded important points, bullet lists, and tables wherever feasible.

Atomicity – The Power of Whole Transaction

Atomicity implies that database updates are made together as a single operation; either the entire set of updates are applied to the database, or nothing happens. Neo4j’s ACID compatibility allows for transactions to ensure the atomicity of operations. When you execute a graph query that involves complex manipulations of data, for example, deleting nodes with recursive queries or updating existing ones, the entire action must be done as an atomic operation; once it starts, everything runs to completion, so when it is done successfully.