ArangoDB NoSQL | Flexible Database Solutions

How We Wronged Neo4j & PostgreSQL: Update of ArangoDB Benchmark 2018

admin — Tue, 27 Feb 2018 10:36:12 +0000

Recently, we published the latest findings of our Performance Benchmark 2018 including Neo4j, PostgGreSQL, MongoDB, OrientDB and, of course, ArangoDB. We tested bread & butter tasks in a client/server setup for all databases like single read/write and aggregation, but also things like shortest path queries which are a speciality for graph databases. Our goal was…

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NoSQL Performance Benchmark 2018 – MongoDB, PostgreSQL, OrientDB, Neo4j and ArangoDB

admin — Wed, 14 Feb 2018 10:51:12 +0000

ArangoDB, as a native multi-model database, competes with many single-model storage technologies. When we started the ArangoDB project, one of the key design goals was and still is to at least be competitive with the leading single-model vendors on their home turf. Only then does a native multi-model database make sense. To prove that we…

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ArangoDB | Thank You for Your Interest in ArangoDB!

Julie Ferrario — Tue, 25 Jul 2017 13:19:18 +0000

“By developers for developers” has been our internal motto since the first lines of ArangoDB code. Building an open-source project at such level of complexity and at a market competitive standard, undoubtedly puts a lot of pressure and almost solely relies on the support and trust of the community. Every victory counts, be it small…

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Webinar: The native multi-model approach and its benefits for developers, architects and DevOps

Julie Ferrario — Tue, 02 May 2017 11:30:32 +0000

Tuesday, May 16th (6PM CEST/12PM ET/ 9AM PT) – Join the webinar here. This webinar gives a general overview of the multi-model database movement, in particular we will discuss its main advantages and technological benefits from an architect and devops perspective. Since the first relational databases were invented the needs of companies and the technological…

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Using GraphQL with ArangoDB: A NoSQL Database Solution

Alan Plum — Wed, 17 Feb 2016 12:45:19 +0000

GraphQL is a query language created by Facebook for modern web and mobile applications as an alternative to REST APIs. Following the original announcement alongside Relay, Facebook has published an official specification and reference implementation in JavaScript. Recently projects outside Facebook like Meteor have also begun to embrace GraphQL. Users have been asking us how…

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Multi-Model Benchmark: Assessing ArangoDB’s Versatility

admin — Thu, 04 Jun 2015 10:11:41 +0000

Claudius Weinberger, CEO ArangoDB TL;DR Native multi-model databases combine different data models like documents or graphs in one tool and even allow to mix them in a single query. How can this concept compete with a pure document store like MongoDB or a graph database like Neo4j? I myself and a lot of folks in…

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Is Multi-Model the Future of NoSQL? ArangoDB Insights

Max Neunhöffer — Fri, 27 Mar 2015 13:43:25 +0000

Here is a slideshare and recording of my talk about multi-model databases, presented in Santa Clara earlier this month. Abstract: Recently a new breed of “multi-model” databases has emerged. They are a document store, a graph database and a key/value store combined in one program. Therefore they are able to cover a lot of use…

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ArangoDB at NoSQL Matters Paris: Insights & Innovations

Ingo Friepoertner — Thu, 19 Feb 2015 17:35:07 +0000

If you are interested in NoSQL and come from France, the NoSQL matters conference in Paris is your place to go. ArangoDB contributes with a workshop and a talk and is a silver sponsor of the conference as well. You can meet our team at the exhibition space and ask your ArangoDB questions in person.…

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Data Modeling: MongoDB vs ArangoDB | ArangoDB Blog

Frank Celler — Thu, 06 Nov 2014 12:21:44 +0000

MongoDB is a document DB whereas ArangoDB is a multi-model DB supporting documents, graphs and key/values within a single database. When it comes to data modeling and data querying, they pursue somewhat different approaches. In a Nutshell: In MongoDB, data modeling is “aggregate-oriented”, avoiding relations and joins. On the other side, everybody has probably used…

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CAP, Google Spanner, & Survival: Eventual Consistency | ArangoDB

Frank Celler — Wed, 05 Feb 2014 14:10:24 +0000

In Next gen NoSQL: The demise of eventual consistency a recent post on Gigaom FoundationDB founder Dave Rosenthal proclaims the demise of eventual consistency. He argues that Google Spanner “demonstrates the falsity of a trade-off between strong consistency and high availability”. In this article I show that Google Spanner does not disprove CAP, but rather…

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