Discover the differences between relational and graph databases, their respective characteristics, features, and applications. This article also delves into Cypher and SQL query languages, various data modeling techniques, and differences in performance.
Little by little, the hosting cost of a graph database can turn out to be quite substantial. Hosting costs are highly correlated with how much resources a database uses, which is not as straightforward as you might think. Find out how expensive it is to host Memgraph and Neo4j instances and why.
When choosing a graph database, you are probably thinking about the costs of certain features your solution requires. The more production-ready the community edition is, the fewer costs you will have! If you are choosing between Memgraph and Neo4j, both open-source databases, check how community editions compare and find out why Memgraph is a feature-rich community edition ready for production.
Are your NetworkX algorithms taking even more and more time to produce the results you need to finish up your research? Or the application reached a critical point and its starting to lag due to increase in data analysis? Could Memgraph tackle the same computations in less time? I think you probably know the answer is “Doh!” but here are the numbers to prove it.
You can't always get what you want, but if you try sometimes, well, you might find, you get what you need. We took The Rolling Stones' advice and tried really hard to find the visualization tool that we need... It didn't really turn out as we wanted, or needed, but at least we had fun testing some software.
A Knowledge Graph is a reusable data layer that is used to answer sophisticated queries across multiple data silos. With contextualized data displayed and organized in the form of tables and graphs, they achieve pinnacle connectivity.
Query languages used for graph data management are called graph query languages (GQLs). Below are the popular graphDB query languages that provide a way to unpack information in graphs. Let’s dive into the details of popular query languages with their pros and cons.