From Zero to Advanced Graph Query Knowledge with ArangoDB

Thinking about your data as a highly connected set of information is a powerful way to gain insights, solve problems and bring products faster into the hands of your users.

Unlike other databases, relationships take the first priority in graph databases and with ArangoDBs multi-model approach for graphs, documents and key/value pairs you can even switch between models or combine them in a single query.

The graph concept is booming but still new to many. So we invested a few bazillion coffees and some night shifts to come up with a good plan for a Graph Course:

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RocksDB Integration in ArangoDB: FAQs

The new release of ArangoDB 3.2 is just around the corner and will include some major improvements like distributed graph processing with Pregel or a powerful export tool. But most importantly we integrated Facebook’s RocksDB as the first pluggable storage engine in ArangoDB. With RocksDB you will be able to use as much data in ArangoDB as fits on your disc.

As this is an important change and many questions reached us from the community we wanted to share some answers on the most common questions. Please find them below

Will I be able to go beyond the limit of RAM?

Yes. By defining RocksDB as your storage engine you will be able to work with as much data as fits on your disc.

What is the locking behaviour with RocksDB in ArangoDB?

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ArangoDB wins Red Herring Top 100 Award

Some Perspectives on HybridRAG in an ArangoDB World

Estimated reading time: 7 minutes

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 comes in—it pulls in useful information, whether from raw text (VectorRAG) or a structured knowledge graph (GraphRAG), and feeds it into the LLM. The result? Smarter, more relevant responses that are grounded in actual data.

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ArangoDB vs. Neo4J

Estimated reading time: 7 minutes

Advantages & Implications for Architects and Developers

ArangoDB and Neo4j are both powerful graph databases, but they have different strengths and features. Here’s a comparison showing how ArangoDB might be superior to Neo4j in certain scenarios, along with code snippets to illustrate:

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ArangoDB 3.12 – Performance for all Your Data Models

Estimated reading time: 6 minutes

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 changes to ArangoDB and give you an idea of how this can be utilized in your products.

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Advanced Fraud Detection in Financial Services with ArangoDB and AQL

Estimated reading time: 3 minutes

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 Language) to handle multiple, real-world fraud detection scenarios in a much more seamless and powerful way compared to traditional Relational Database Management Systems (RDBMS).

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Update: Evolving ArangoDB’s Licensing Model for a Sustainable Future

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 your feedback.

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The world is a graph: How Fix reimagines cloud security using a graph in ArangoDB

‘Guest Blog’

Estimated reading time: 5 minutes

In 2015, John Lambers, a Corporate Vice President and Security Fellow at Microsoft wrote “Defenders think in lists. Attackers think in graphs. As long as this is true, attackers win.ˮ

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Reintroducing the ArangoDB-RDF Adapter

Estimated reading time: 1 minute

ArangoRDF allows you to export Graphs from ArangoDB into RDFLib, the standard library for working with Resource Description Framework (RDF) in Python, and vice-versa.

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Introducing ArangoDB’s Data Loader : Revolutionizing Your Data Migration Experience

Estimated reading time: 7 minutes

At ArangoDB, our commitment to empowering companies, developers, and data enthusiasts with cutting edge tools and resources remains unwavering. Today, we’re thrilled to unveil our latest innovation, the Data Loader, a game-changing feature designed to simplify and streamline the migration of relational databases to ArangoGraph. Let’s dive into what makes Data Loader a must-have tool for your data migration needs.

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How ArangGraphML Leverages Intel’s PyG Optimizations

Estimated reading time: 3 minutes

ArangoGraphML + Intel: Next-level Machine Learning Accelerated

ArangoDB and Intel have announced a groundbreaking partnership to enhance Graph Machine Learning (GraphML) using Intel’s high-performance processors. This collaboration, part of the Intel Disruptor Program, will seek to integrate ArangoDB’s graph database solutions with Intel’s Xeon CPU. This synergy promises to revolutionize data analytics and pattern recognition in complex graph structures, marking a new era in database technology and GraphML advancements.

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ArangoDB’s Exciting Updates: Introducing Our Developer Hub and GenAI Bots!

Estimated reading time: 3 minutes

At ArangoDB, our commitment to empowering developers and data enthusiasts with cutting-edge tools and resources is unwavering. In line with our commitment to “Graph Done Simple,” we are thrilled to unveil two groundbreaking additions to our arsenal that promise to revolutionize your experience with our multi-model graph database.

Developer Hub: Where Knowledge Meets Accessibility

We’ve always believed in the power of community-driven knowledge sharing, and we are proud to present our brand-new Developer Hub, accessible at developer.arangodb.com. This hub is a testament to our dedication to creating an ecosystem that empowers you with the knowledge and resources you need.

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ArangoDB Promotes Luca Olivari to President

Company creates new role to accelerate global expansion

ArangoDB, the company behind the leading native multi-model database, today announced that Luca Olivari has formally joined as President. Luca will work with the founders, board of directors and advisory council to accelerate global expansion.

“It has been a privilege to work with the founders and the rest of the team for a few months as an Advisor and witness first hand how ArangoDB helps enterprise customers to unwind complexity and improve developer productivity,” said Olivari. “As President, I will be focused on building our global customer facing functions, a productive ecosystem and a committed community.” Read more

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

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 possibilities have changed completely. Luca Olivari (recently announced President of ArangoDB) will deep dive into current trends in the database world, how native multi-model databases help companies of all sizes, and walk you through use cases where ArangoDB is beneficial. He will share decades of experience in the field and views on ever-changing needs of developers, companies and customers in the modern times. Read more

ArangoDB Selected as Finalist for Red Herring Top 100 in Europe

“ArangoDB shows great promise and therefore deserves to be among the finalists.”

ArangoDB, the native multi-model database, announced today that it has been selected as a finalist for
Red Herring Top 100 award for the European business region. The nomination underlines the great success of the company and the growing momentum behind the multi-model movement it is heralding.

“The whole team is proud to be nominated for such a prestigious award,” says Claudius Weinberger, CEO of ArangoDB. “Looking back a few years, it was hard work to win people for our multi-model approach and unique query language. Today startups and enterprises enjoy the flexibility our database provides and use it to realize their brightest ideas.” Read more

Alpha3 of ArangoDB 3.2: Support for Distributed Graph Processing

The next alpha release of the upcoming ArangoDB 3.2 is available for testing. You can download and install alpha3 here.

Moving forward

As ArangoDB 3.2 will include several new features and improvements, we realized that the release model that we currently follow has room for improvement. Going forward we will introduce milestone releases with ArangoDB 3.3. For this major release you will see a bit more alphas. You can read detailed info about the new structure model here.

Pregel computing model

In this alpha we introduce support for incremental graph processing algorithms in a single mode server as well as in the cluster. Read more

Introducing milestone release model and why is it better

When developing ArangoDB, we want to share with you new features as early as possible. For example, the pregel implementation that will become part of ArangoDB 3.2 was ready for testing weeks before the release date of the first beta release and the final release of 3.2.

Therefore we decided to create intermediate releases, called alpha releases, which contain new feature as early as they became stable. The benefits for the community and also for our developers team are: Read more

ArangoDB Online Meetup & Webinar Announced

Today we are glad to announce the start of ArangoDB Online meetup. As our international open-source community is growing with every passing day, we keep getting requests from members around the world on doing a tech meet or a short demo on ArangoDB. Quite a few members have already taken the initiative of presenting at conferences and local meetups – big “thank you” for that! Adding to that effort, it’s high time that we all moved to that one place where we can all connect and everyone has a chance to give/ participate in a talk. And what better way is there to bring us all together than meeting online? Read more

Arangochair – a tool for listening to changes in ArangoDB

The ArangoDB team gave me an opportunity to write a tutorial about arangochair. Arangochair is the first attempt to listen for changes in the database and execute actions like pushing a document to the client or execute an AQL query. Currently it is limited to single nodes.

This tutorial is loosely based on the example at baslr/arangochair-serversendevents-demo

arangochair is a Node.js module hosted on npm which make it fairly easy to install. Just run
npm install arangochair and its installed. Read more

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