For ArangoDB, graph is one view, document and key-value are the others Getty Images/iStockphotoĪlthough ArangoDB has its own sui generis approach, we noticed that in the last year or so its messaging has shifted a bit from the multi-model aspect to emphasize graph. The key premise of multi-model databases is offering many views over the same data. ArangoDB supports clients in Java, JavaScript, NodeJS, Go, Python, Elixir, R, and Rust. Custom integrations can be developed using a Python API. Schad went on to add that ArangoML has connectors for popular ML ecosystems like Tensorflow and PyTorch, and they are now working on Kubeflow integration. So it turned out to be a really easy model, to be both flexible and very efficient in terms of formulating this query and many others as well." "In the end, looking at which models have been impacted by which is being derived from just one data set, it's just a graph traversal. The advantage according to Schad is that this enables users to combine the flexibility of having no schema, leveraging the JSON document view of multi-model, with the structure of how things are connected as a graph: From graph to multi-model and back againīut still: why ArangoDB? ArangoDB is not a traditional graph database - it is a multi-model database which also supports graph. So this started to look like a case for a graph database - these are the types of queries graph databases excel at. Apart from being ugly to write and maintain, those queries don't perform well either. Machine learning features may be derived from other features, which means ending up with a lot of joins, and especially a lot of self joins. Relational systems are not a good match, Schad said. So they wanted to have a common layer with all the metadata where this would end up being one query.
Just being able to identify the different ML models deployed in production was very challenging because they had to go through a number of different metadata stores - for the ML part, the data feature transformation part, and so on. With a PhD in database systems, distributed data analytics, and large scale infrastructure container systems, Schad has been switching between databases. Schad joined ArangoDB last year but has been working with ArangoDB for the past four years. Today ArangoDB is a US company with a German subsidiary, it has a new chief revenue officer, Matt Ekstrom, and a new head of engineering, Schad. That means that we found a way that we can combine the JSON document data model, the graph model, and the key-value model in one database core with one query language." "The main idea for ArangoDB, what is still valid today, is what we call the native multi-model approach. As Weinberger noted, he and his co-founder have been working together for 20 years, and the decision to pursue their vision was not a spur of the moment idea:
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The team made the headlines in 2019 with their $10 million in Series A funding led by Bow Capital. ArangoDB was founded in Cologne in 2014 by OnVista veterans Claudius Weinberger and Frank Celler.
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