Disk space usage in ArangoDB

In this post we’ll explain how ArangoDB stores collection data on disk and look at its storage space requirements, compared to other popular NoSQL databases such as CouchDB and MongoDB.

How ArangoDB allocates disk space

ArangoDB stores documents in collections. The collection data is persisted on disk so it does not get lost in case of a server restart.
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Benchmarking ArangoDB’s networking and HTTP layer

…or: The Great Server Shootout

ArangoDB is a database server that talks HTTP with its clients: clients send HTTP requests to ArangoDB over TCP/IP, ArangoDB will process them and send back the results to the client, packaged as HTTP over TCP/IP.

ArangoDB’s communication layer is thus the foundation for almost all database operations, and it needs to be fast to not become a bottleneck, blocking further database operations.
To assess the actual performance of the communication layer, we did some benchmarks that compare ArangoDB’s network and HTTP processing capabilities with those of other popular servers.
ArangoDB is a database server and thus offers a lot more than just HTTP processing, but in this post we’ll be concentrating on just the networking/HTTP parts of the product. It is likely that we’ll publish results of further benchmarks that involve other parts of the system in the near future.
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MRuby Links

I’ve started the following collection of links, example code, projects, and articles about mruby. This list is most likely not complete, if you have other interesting articles please let me know. Especially sample code and mruby projects.

Article

Examples & Projects

FAQ

CRuby vs MRuby FAQ

At our last Ruby user group meeting it was asked, what the differences between CRuby and MRuby are. @junjis0203 wrote a MRuby FAQ. Unfortunately, it’s in Japanese. I’ve tried to translate it using http://www.excite.co.jp/world/english/ & Google translate and added my own findings.

Not all classes and method from CRuby are available in MRuby

MRuby does not guarantee to implement the features which are defined in ISO / IEC 30170

Regular Expression

Mruby allows you to switch features on or off depending on your needs and available space. These features are defined in “include/mrbconf.h”. One of the features is regular expression support, which is switched off by default.

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AQL: Querying a nosql database the elegant & comfortable way

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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Evolving ArangoDB’s Licensing Model for a Sustainable Future

Estimated reading time: 3 minutes

ArangoDB as a company is firmly grounded in Open Source. The first commit was made in October 2011, and today, we are very proud of having over 13,000 stargazers on GitHub. We believe that the ArangoDB community should be able to enjoy all of the benefits of using ArangoDB, and we have always offered a completely free community edition in addition to our paid enterprise offering.

With the evolving landscape of database technologies and the imperative need to ensure ArangoDB remains sustainable, innovative, and competitive, we’re introducing some changes to our licensing model. These alterations will help us continue our commitment to the community, fuel further development, and assist businesses in obtaining the best from our platform.
These alterations are based on changes in the broader database market.

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ArangoGraph Now Available on AWS Marketplace

Estimated reading time: 1 minute

Today we are excited to announce that ArangoGraph, the ArangoDB Managed Service, is available for purchase in the AWS Marketplace. With this announcement, ArangoGraph can now be purchased directly via both AWS and GCP.

The AWS Marketplace provides an extensive catalog of software solutions for users to easily explore, test, buy, and deploy on AWS. If you’re an AWS customer, here’s what this announcement means for you:

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Bridging Knowledge and Language: ArangoDB Empowers Large Language Models for Real-World Applications

Estimated reading time: 5 minutes

Understanding Large Language Models (LLMs) and Knowledge Graphs

Today, two very different technology concepts have become prominent in data analysis and predictive analytics: Knowledge Graphs and Large Language Models (LLMs). These domains each have their unique benefits, and influence the ways that we engage with and derive meaningful insights from constantly expanding and complex datasets.  They are like the Odd Couple – better together than on their own!

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Three Ways to Scale your Graph

Estimated reading time: 10 minutes

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 increasing amount of user requests coming in?

Read more

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“Use-Cases for MRuby in a Database like ArangoDB” or “Can MRuby be the next PL/SQL?”

In the relational world, PL/SQL is used to store business/application logic inside the relational database. The same movement is currently happening in the NoSQL. Redis for example uses LUA script in its newest version (2.6), to allow developers to tweak Redis. There a lot of use-cases for a programming language in document-stores. Programming languages are used in various document stores like ArangoDB, CouchDB, MongoDB, or VoltDB. In my opinion in the following use-cases a suitable language like Ruby will be most handy.
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HTTP Client for MRuby

As Dorthe pointed out, we are on the road for the next two weeks. (more…)

Meet us at Nosql matters, Berlin Buzzwords or EuRuKo

Just a quick note: We are on the road… you can meet us in person at the following conferences:
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JSON Parser for MRuby or how to define classes and exceptions in C

MRuby is progressing quite rapidly, it is now possible to implement a real REPL, see github. So, it is time to continue my efforts to integrate MRuby into ArangoDB. ArangoDB currently uses JavaScript to implement transactions and enrich the database with small Actionlets, i. e. functions that take a HTTP request and produce a HTTP response. Additionally, there is a shell, which allows you to administrate the server. (more…)

“AvocadoDB” becomes “ArangoDB”

Hi folks,

to avoid legal issues with some other Avocado lovers we have to change the name of our database. We want to stick to Avocados and selected a variety from Mexico/Guatemala called “Arango”.
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