Claudius Weinberger : It has taken some time for the graph database market to develop in a nice way and you can see that now with the funding that Neo4j got. What has changed from my perspective is there are now more graph analytics and AI use cases. Users make the decision whether they should use a graph database or stick with a relational database as there are advantages to each type of database. In the space of graph analytics and graph AI, there really isn't an alternative to using a graph database. I've heard that it can take an average of seven years for a new database to gain traction and have a lot of users really start to use it in production. What is clear to us now is that having a scalable graph database that can handle structured and unstructured data at the same time is really a huge benefit for many people. Where does graph technology fit into the database landscape today? Weinberger : Graph has always been the main component of our database, but we also have capabilities to handle all sorts of other data models. We have branded our multimodel technology as graph and beyond. rices depend on selected cloud provider, region, disk & CPU size. The managed service for ArangoDB provides fully-hosted, managed, & monitored cluster deployments of any size, with enterprise-grade security. It's a full-feature graph database with all the stuff you also get from any other graph database and it can handle different data models. After test period, pricing starts at 0.20/h. When you look at AI, for example, there is hardly ever an initial data set where everything is structured, so you need to be able to handle different types of data. In the beginning we struggled a little bit with the graph database market, where users tried to determine if graph was the right fit. We now have fewer discussions with developers about whether ArangoDB has the right data model. Graph database technology is an active market with a bright future, according to IDC analyst Carl Olofson. The vendor has been growing in recent years, securing a 27.8 million funding round in October 2021. We now have more discussions about what is the additional value our product provides. ArangoDB provides multimodel database capabilities, but is primarily focused on serving as a graph database platform. You can even combine both models and use them in a single AQL query. ![]() The most important reason people chose ArangoDB is: You can model your data as documents or as a graph - no data model lock-in. ArangoDB is ranked 9th while Cassandra is ranked 10th. It's also very important to mention that this whole graph space also became much more mature in terms of how people look at graph as they have developed and learned more about the technology. In the question What are the best databases for building social network like apps.
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