One of the key ways they can do this is by better understanding and utilizing the connections between different pieces of data. Companies are all trying to use that data to improve their bottom line – becoming more efficient, understanding and serving their customers better, reducing risk, etc. What Are Graph Databases All About Anyway?ĭata fuels today’s businesses we all have seen the headlines about the exabytes of data generated daily. In this blog post, we’ll discuss the key characteristics that distinguish native graph database technology – and why they matter for database performance. Understanding the differences is critical – especially if you’re evaluating databases for your next project. Non-native graph databases forgo these key benefits as they are sitting on top of a non-graph-optimized data model. Unsurprisingly, native technologies tend to perform queries faster, scale bigger (retaining their hallmark query speed as the dataset grows in size because most graph queries exhibit specific traversal patterns), and run more efficiently, calling for much lower hardware requirements. There’s a considerable difference in the native graph database architecture of both graph storage and processing. When building a database management system (DBMS), development teams must decide early on what use cases to optimize for, which will dictate how well the DBMS will handle the tasks it is dealt with (i.e., what the DBMS will be amazing at, what it will be ok at and what it may not do so well).Īs a result, the graph database world is populated with technologies designed to be “graph first,” known as native graph technology, and other databases where graphs are a bolted-on afterthought, classified as non-native graph technology. Software, technology, and – you guessed it – databases are no exception.ĭatabases satisfy all different kinds of functions: analytics and transactional workloads, memory access and disk access, SQL and JSON access, and graph and document data storage and processing. If you’re trying to be good at everything, you end up being mediocre at most things and not exceptional at anything in particular. It’s a familiar figure of speech: “Jack of all trades, master of none.”
0 Comments
Leave a Reply. |