Heiko Kernbach, Author at ArangoDB

Benchmark Results – ArangoDB vs. Neo4j : ArangoDB up to 8x faster than Neo4j

Heiko Kernbach — Tue, 03 Dec 2024 15:47:23 +0000

Introduction This document presents the benchmark results comparing the ArangoDB’s Graph Analytics Engine (GAE) against Neo4j. The GAE is just one component of ArangoDB’s Data Science Suite. This reproducible benchmark aims to provide a neutral and thorough comparison between the two databases, ensuring a fair and unbiased assessment. We use the wiki-Talk dataset, a widely…

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Three Ways to Scale your Graph

Heiko Kernbach — Tue, 23 May 2023 09:52:21 +0000

As businesses grow and their data needs increase, they often face the challenge of scaling their database systems to keep up with the increasing demand. What happens when your single server machine is no longer sufficient to store your graph that has grown too large? Or when your instance can no longer cope with the…

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Using the WebUI AQL Editor – Basics

Heiko Kernbach — Thu, 08 Feb 2018 07:55:21 +0000

The ArangoDB query language (AQL) can be used to retrieve and modify data that is stored in ArangoDB. The AQL editor in the web interface is useful for running ad hoc AQL queries and trying things out. The editor is split into three parts. The center section allows you to write your query and modify…

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ArangoDB | Geo Demonstration Using Foxx – Location-Aware Applications

Heiko Kernbach — Thu, 14 Sep 2017 14:52:09 +0000

Geo data is getting more and more important for today’s applications. The growing number of location-aware services, IoT applications and other solutions using latitude and longitude ask for precise and fast processing of geo data. Let me show you in this quick demonstration how you can use geo functions and visualize your data using Foxx…

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Create an ArangoDB cluster on Microsoft Azure

Heiko Kernbach — Thu, 28 May 2015 09:40:45 +0000

During the last weeks we’ve released our new deployment tool for cloud computing platforms with how-to’s for Google Compute Engine, Digital Ocean and Amazon Web Services support. Today we show how to deploy an ArangoDB cluster on Azure with a single command. Azure To easy-deploy an ArangoDB cluster on Azure you just need to install…

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Create an ArangoDB cluster on Amazon Web Services (AWS)

Heiko Kernbach — Wed, 13 May 2015 08:34:04 +0000

During the last weeks we’ve released our new deployment tool for cloud computing platforms with how-to’s for Google Compute Engine and Digital Ocean support. Today we show how to deploy an ArangoDB cluster on Amazon Web Services with a single command. Amazon Web Services (AWS) To easy-deploy an ArangoDB cluster on AWS you just need…

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Create an ArangoDB cluster on Google Compute Engine with a single command

Heiko Kernbach — Fri, 17 Apr 2015 14:18:26 +0000

Last week we’ve released the first version of our new deployment tool for cloud computing platforms with Digital Ocean support. (Edit: now also available: Amazon Web Services) Today we show how to deploy an ArangoDB cluster on Google Compute Engine with a single command. Google Compute Engine To easy-deploy an ArangoDB cluster on Google Compute…

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ArangoDB DigitalOcean Cluster: Scalable and Efficient Deployment

Heiko Kernbach — Sat, 11 Apr 2015 00:41:04 +0000

It is often difficult and time-consuming to setup a cluster environment for development or production purposes. For this reason, we decided to make an initial setup for you as easy as possible. Today we’re introducing the first part of our new deployment tool for cloud computing platforms (Edit: now also available: Amazon Web Services and…

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