Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7

Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its offering.

If open source is the new normal in enterprise software, then that certainly holds for databases, too. In that line of thinking, Github is where it all happens. So to have been favorited 10.000 times on Github must say something about a project. Open source ArangoDB, which also offers an Enterprise version, has hit that milestone recently.

On Aug. 27, ArangoDB announces its new release 3.7, which comes with interesting new features around graph. We take the opportunity to discuss the database market, graph, and beyond, with CEO and co-founder Claudius Weinberger and Head of Engineering and Machine Learning Jörg Schad.

ArangoDB was founded in Cologne in 2014 by OnVista veterans Claudius Weinberger and Frank Celler. The team made the headlines in 2019 with their $10 million in Series A funding led by Bow Capital. 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:

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. Schad joined ArangoDB last year but has been working with ArangoDB for the past four years. With a PhD in database systems, distributed data analytics, and large scale infrastructure container systems, Schad has been switching between databases.

Read the full article on ZDNet

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