![]() Our Series B funding will allow us to accelerate our mission to make it even easier to generate real value from data, as well as enter new markets.” Graph and beyond enable everyone to combine graphs, structured, unstructured, and more kinds of data in one solution, at enterprise-scale with advanced graph analytics. “ArangoDB’s goal from day one is to make it extremely easy to handle data of any kind. Enterprises worldwide are looking for easy ways to improve business insights, use new analytics methods, and advance their AI usages,” said Claudius Weinberger, CEO and co-founder of ArangoDB. “The key challenge of the 21st century is to get real value out of data. ArangoDB also recently strengthened its management team, appointing Frank Swain as Chief Revenue Officer and promoting Jörg Schad to Chief Technology Officer. New roles are open across engineering, marketing, product management, sales, and recruiting, most of which are fully-remote. The new funding will allow the company to accelerate its continued development of advanced analytics – in particular scalable graph analytics – and machine learning capabilities. This Series B investment brings ArangoDB’s total financing to $47 million since its foundation.ĪrangoDB continues to gain traction for its ‘graph and beyond’ database: the ability to natively store data for graph, document, and search needs. Curt Gunsenheimer, Managing Partner at Iris Capital, and New Forge’s Mirko Novakovic, co-founder and former CEO of Instana, join ArangoDB’s board of directors. So far it looks like they might be right.San Francisco and Cologne, Germany – Octo– ArangoDB, the most scalable open source graph database, today announced a $27.8 million Series B financing round led by Iris Capital, with participation from existing investors Bow Capital and Target Partners, alongside New Forge. I think that is the problem that ArangoDB and AQL is out to solve, the hypothesis being that it's possible to solve that without being worse than specialists like Neo4j. Neo4j has an example of "polyglot persistence" on their site: The databases that support them also tackle different problems. These languages exist because they tackle different problems. There is no standard language for graph databases.ĪQL is a query language that provides a unified interface for working with key/value, document and graph data.īadwolf Query Language is a SPARQL inspired language for temporal graphs. To address your question about query languages. The idea is that a "social network" does not automatically imply the superiority, or even the use of a graph database (especially since GraphQL and Falcor were released). Journal of Computer Science and Information Technologies doing a comparison of Neo4j vs MySQL, Vertica and VoltDB with queries you would assume Neo4j would be amazing at: For instance, here is a paper from the International While it's true that it is possible to create queries that only a graph database can answer, the performance of graph database on any given query varies wildly and can give you some pretty surprising results. I would look to store it on some other server (like S3) and save the url to that file in Neo4j/Arango. I don't know that storing picture or video data is a great idea in either ArangoDB or Neo4j. I believe that Neo4j solves a similarly narrow problem, as evidenced by how common it is to use Neo4j alongside some other data store. The only thing it’s good at is storing arbitrary pieces of JSON. MongoDB’s ideal use case is even narrower than our television data. Sarah Mei wrote an epic blog post about MongoDB, using an example with some data about TV shows. One thing that might help your decision making process is recognizing that many NoSQL databases solve a much narrower problem than people appreciate. Both can be used from Java (though Neo4j can be embedded). Any recommendations on which database management system is better suited? I will be writing the code in Java (and some Scala).īoth ArangoDB and Neo4j are capable of doing the job you have in mind.īoth projects have amazing documentation and getting answers for either of them is easy. What I got is that Neo4j better supports an manufacture independent query language, but I guess it is easier and better to learn the manufacturer standard. Also posts and such should be stored in the database. I do not want a different database, so it would be nice to store an image (byte array) in the database, maybe even different sizes for each image / video whatever. I would like to have an user node an to each person 2 eg.Īnd there is a need that there is an index on the edges. They can be json, but I do not care if the DB understands JSON.ĪrangoDB can also store documents and Neo4J is "only" a graph Database. I would like to store attributes on the edges and on the nodes. ![]() Persons have other persons as friends) and I guess a graph database would do the trick better than a classic database.
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