OLTP use cases), even in use cases with near real-time processing. Neo4j started out as an embedded Java library (“ 4j” at the end of Neo4j stands for “for Java”) for creating and storing graph data structures, and evolved over time into a stand-alone graph database system with an initial focus on transactional performance (i.e. Understand the Neo4j Architecture by Going Back in Time It’s native architecture means that out of the gate it offers several fundamental advantages that enable organizations to build applications with near real-time connected data while maintaining integrity, consistency, and performance. Neo4j is one of the very few examples of a true native graph database, and as such is uniquely able to perform at scale. The second category is native graph database, which essentially means that rather than being retrofit, they are purpose-built for graph uses cases with a handful of core architectural markers described in more detail below. This indirection layer functions as a kind of logical graph model enabling the database to interact with the underlying data store(s) as a graph. ArangoDB, MarkLogic etc) that often store RDF triples, most if not all of these non-native graph databases add an intermediate layer of some kind which can often cause performance to suffer. Oracle, MongoDB etc) with facades as a kind of logical representation of a graph, or whether they are actual multi-model databases (e.g. Whether they are single data stores (e.g. In the graph world, there are two major categories of database each with significant implications for performance.įirst, there are many non-native graph database options that leverage some variation of a multi-model or similar approach. Neo4j Performance – Architected for SpeedĪnyone with experience in database performance in general, including Neo4j performance, will tell you that it is important to have mechanical sympathy for your systems in order to understand which levers one can use to impact performance and in what ways. Read on to learn how to better understand Neo4j performance and architecture. Tuning databases, whether they be standard relational databases (RDBMS), object-oriented, NoSQL, graph database or any other kind, requires either deep experience and knowledge of the system or some kind of reliable guide.
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