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Integrating ArangoDB with Kubernetes for Seamless Deployment
Estimated reading time: 6 minutes Are you a database architect or DevOps architect tasked with deploying modern databases like ArangoDB on Kubernetes? Kubernetes, with its robust orchestration capabilities, provides a solid foundation for managing containerized workloads, ensuring reliability and adaptability for database deployments. In this post, we’ll guide you through the process of deploying ArangoDB…
ArangoDB’s GraphRAG Transforms Healthcare Data Management
Estimated reading time: 7 minutes Healthcare Data Challenges Healthcare organizations across the spectrum-from large hospital systems to payers to individual providers-face unprecedented IT challenges. These include siloed information systems, complex regulatory requirements, and rapidly evolving clinical research. Add fast-growing patient expectations for personalized care, and one can relate to how challenging all this is. Traditional…
The Transformative Power of ArangoDB GraphRAG in Genomics-Driven Personalized Medicine
Estimated reading time: 7 minutes Introduction Personalized medicine is a truly disruptive innovation in healthcare. Medical treatment can now pivot from mass-market, standardized care models to custom-made, client-centric solutions. For example, healthcare providers can now offer precision-targeted therapeutic products and services using individual genetic data and lifestyle metrics. And this shift would drive improved patient…
Benchmark Results – ArangoDB vs. Neo4j : ArangoDB up to 8x faster than Neo4j
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…
Vector Search in ArangoDB: Practical Insights and Hands-On Examples
Vector search is gaining traction as a go-to tool for handling large, unstructured datasets like text, images, and audio. It works by comparing vector embeddings, numerical representations generated by machine learning models, to find items with similar properties. With the integration of Facebook’s FAISS library, ArangoDB brings scalable, high-performance vector search directly into its core,…
Some Perspectives on HybridRAG in an ArangoDB World
Introduction Graph databases continue to gain momentum, thanks to their knack for handling intricate relationships and context. Developers and tech leaders are seeing the potential of pairing them with the creative strength of large language models (LLMs). This combination is opening the door to more precise, context-aware answers to natural language prompts. That’s where RAG…
ArangoDB vs. Neo4J
Estimated reading time: 7 minutes Update: https://arangodb.com/2023/10/evolving-arangodbs-licensing-model-for-a-sustainable- future/ Last October the first iteration of this blog post explained an update to ArangoDB’s 10-year-old license model. Thank you for providing feedback and suggestions. As mentioned, we will always remain committed to our community and hence today, we are happy to announce yet another update that integrates…
ArangoDB 3.12 – Performance for all Your Data Models
We are proud to announce the GA release of ArangoDB 3.12! Congrats to the team and community for the latest ArangoDB release 3.12! ArangoDB 3.12 is focused on greatly improving performance and observability both for the core database and our search offering. In this blog post, we will go through some of the most important…
Advanced Fraud Detection in Financial Services with ArangoDB and AQL
Advanced Fraud Detection: ArangoDB’s AQL vs. Traditional RDBMS In the realm of financial services, where fraud detection is both critical and complex, the choice of database and query language can impact the efficiency and effectiveness of fraud detection systems. Let’s explore how ArangoDB – a multi-model graph database – is powered by AQL (ArangoDB Query…
Update: Evolving ArangoDB’s Licensing Model for a Sustainable Future
Estimated reading time: 7 minutes Updated 3/28/25 for accuracy. Last October the first iteration of this blog post explained an update to ArangoDB’s 10-year-old license model. Thank you for providing feedback and suggestions. As mentioned, we will always remain committed to our community and hence today, we are happy to announce yet another update that…