Category: Document Stores

Feed: ArangoDB blog: latest news from the NoSQL multi-model database. Author: Christopher Woodward. Multiple data science personas participate in the daily operations of data logistics and intelligent business applications. Management and employees need to understand the big picture of data science to maximize collaboration efforts for these operations. This article will highlight the specialized roles and skillsets needed for the different data science tasks and the best tools to empower data-driven teams. You will come away from this article with a better understanding of how to support your own data science teams, and it is valuable for both managers and ... Read More

Feed: ArangoDB blog: latest news from the NoSQL multi-model database. Author: Michele Rastelli. Estimated reading time: 8 minutes We are proud to announce the general availability of ArangoDB Datasource for Apache Spark: a new generation Spark connector for ArangoDB. Nowadays, Apache Spark is one of the most popular analytics frameworks for large-scale data processing. It is designed to process in parallel data that is too large or complex for traditional databases, providing high performances by optimizing query execution, caching data in-memory and controlling the data distribution. It exposes a pluggable DataSource API that can be implemented to allow interaction with ... Read More

Feed: ArangoDB blog: latest news from the NoSQL multi-model database. Author: Joerg Schad. Estimated reading time: 4 minutes We are proud to announce the GA release of ArangoDB 3.9! Congrats to the team and community for the latest ArangoDB release 3.9! ArangoDB 3.9 is focused on extending the capabilities of advanced Analytics and especially at scaling Graph use cases even further. In the remainder of this blog post, we will dive further into some of the features including Hybrid SmartGraphs, new AQL functions, new ArangoSearch Analyzer, and various other performance and user experience improvements. Just in case you prefer to ... Read More

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