Category: Document Stores

Feed: Blog – ArangoDB. Author: Anthony Mahanna. Estimated reading time: 1 minute We are proud to announce the GA 1.0 release of the ArangoDB-DGL Adapter! The ArangoDB-DGL Adapter exports Graphs from ArangoDB, a multi-model Graph Database, into Deep Graph Library (DGL), a python package for graph neural networks, and vice-versa. On December 30th, 2021, we introduced to the ArangoML community our first release of the DGL Adapter for ArangoDB. We worked closely with our existing ArangoDB-NetworkX Adapter implementation to aim for a consistent UX across our (growing) Adapter Family. You can expect the same developer-friendly options, along with a helpful ... Read More

Feed: Blog – ArangoDB. Author: Anthony Mahanna. Estimated reading time: 1 minute We are proud to announce the GA 3.0 release of the ArangoDB-NetworkX Adapter! The ArangoDB-Networkx Adapter exports Graphs from ArangoDB, a multi-model Graph Database, into NetworkX, the swiss army knife for graph analysis with python, and vice-versa. Back in November 2021, we (quietly) released its 1.0 distribution, which overhauled the adapter in its entirety. We refactored its existing feature of converting ArangoDB graphs to NetworkX, and introduced the ability to convert NetworkX graphs to ArangoDB, via a range of developer-friendly options. It’s also open source! This latest major ... Read More

Feed: Blog – ArangoDB. Author: Cris Miranda Ruiz. Hello! I’m Cris Miranda, the community manager at ArangoDB, and I make sure ArangoDB has a vibrant, wholesome, and ever-growing community of amazing people. I want to share some tips and advice based on valuable lessons we’ve learned from our first-ever virtual developers’ conference.  In this short blog post, you’ll learn about how to avoid the common pitfall of ‘feature creep’ as well as gain tips on navigating virtual events platforms. I also teach you how you and your team can move together in synchronicity while keeping your goals as your guiding ... Read More

Feed: Blog – ArangoDB. Author: Claudius Weinberger. This blog post is to announce ArangoDB’s Series B funding round and provide an update on the progress we have made so far. The company has achieved a lot in the past couple of years since we announced our Series A round of funding in 2019. We are excited for what lies ahead and can’t wait to bring you along for the journey! ArangoDB came to life in 2015, when the company was founded by myself and Frank Celler. Prior to ArangoDB, we had been building databases for over 15 years. At the ... Read More

Feed: Blog – ArangoDB. Author: Cris Miranda Ruiz. We’ve been spending quite a bit of time preparing something really exciting for our community this year: we’re thrilled to announce ArangoDB’s first-ever virtual developer conference taking place October 18th through the 22nd, 2021. ArangoDB Dev Days will be a five-day event, packed with more than 23 hours of content, a large roster of all-star speakers, and transmitted via Zoom to audiences all over the globe. And the best part? All of it is free. Our team is hard at work finalizing their sessions for the conference. Each day will feature 4 ... Read More

Feed: Blog – ArangoDB. Author: Edgar Lanting. A detailed journey into deploying a DC2DC replicated environment When we thought about all the things we wanted to share with our users there were obviously a lot of topics to choose from. Our Enterprise feature; ArangoSync was one of the topics that we have talked about frequently and we have also seen that our customers are keen to implement this in their environments. Mostly because of the secure requirements of having an ArangoDB cluster and all of its data located in multiple locations in case of a severe outage.  This blog post ... Read More

Feed: Blog – ArangoDB. Author: Sachin Sharma. This blog post provides a comprehensive study on the theoretical and practical understanding of GraphSage, this notebook will cover: What is GraphSageNeighborhood SamplingGetting Hands-on Experience with GraphSage and PyTorch Geometric LibraryOpen-Graph-Benchmark’s Amazon Product Recommendation DatasetCreating and Saving a modelGenerating Graph Embeddings Visualizations and Observations Important Note!!¶If you are running this notebook on Google Colab, please make sure to enable hardware acceleration using either a GPU or a TPU. If it is run with CPU-only enabled, generating the word embeddings will take an incredibly long time! Hardware acceleration can be enabled by navigating to Runtime ... Read More

Feed: Blog – ArangoDB. Author: Vaidas Gasiunas. This article presents a case study of using AQL queries for detecting complex money laundering and financial crime patterns. While there have been multiple publications about the advantages of graph databases for fraud detection use cases, few of them provide concrete examples of implementing detection of complex fraud patterns that would work in real-world scenarios.  This case study is based on a third-party transaction data generator, which is designed to simulate realistic transaction graphs of any size. The generator disguises complex financial fraud patterns of two kinds:  Circular money flows: a big amount ... Read More

Feed: Blog – ArangoDB. Author: Joerg Schad. We are proud to announce the GA release of ArangoDB 3.8! With this release, we improve many analytics use cases we have been seeing – both from our customers and open-source users – with the addition of new features such as AQL window operations, graph and Geo analytics, as well as new ArangoSearch functionality. If you want to get your hands on ArangoDB 3.8, you can either download the Community or Enterprise Edition, pull our Docker images, or start a free trial of our managed service Oasis. As with any release, ArangoDB 3.8 ... Read More

Feed: Blog – ArangoDB. Author: Victor Moey. This post will dive into the world of Entity Resolution in ArangoDB.  This is a companion piece for our Lunch and Learn session, Graph & Beyond Lunch Break #15: Entity Resolution. In this article we will: give a brief background in Entity Resolution (ER)discuss some use-cases for ERdiscuss some techniques for performing ER in ArangoDB What is Entity Resolution? Entity Resolution is the process of disambiguating records of real-world entities that are represented multiple times in a database or across multiple databases.   An entity is a unique thing (person, company, product etc.) in ... Read More