ArangoDB Blog
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On ArangoDB blog you will find all latest info, interesting discoveries and projects related to the NoSQL multi-model database. ArangoDB, the highest-rated graph database, enables you to uncover insights in your data that are impossible with traditional SQL or document databases.
ArangoDB Blog
2w ago
Estimated reading time: 4 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.
Just in case you prefer to try ArangoDB 3.12 directly rather than just reading about it, you can either download the Community Version orEnterprise Trial ..read more
ArangoDB Blog
2M ago
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.
Your ArangoDB Team
ArangoDB as a company is firmly grounded in Open Source. The first commit was made in October 2011, and today we’re very proud of ..read more
ArangoDB Blog
2M ago
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
The original problem in cloud security is visibility into my assets. If security engineers donʼt know what cloud services are running, they canʼt protect an environment. Unfortunately, first generation cloud security products were built with a list mindset, i.e. “rows and columnsˮ. They generate a list of assets and their configurations – but show no context of the relationships ..read more
ArangoDB Blog
2M ago
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.
Back in December 2023, we (quietly) released ArangoRDF’s 0.1 distribution, which reworked
functionality to introduce a consistent RDF-to-ArangoDB & ArangoDB-to-RDF experience based
on the paper Transforming RDF-star to Property Graphs: A Preliminary Analysis of
Transformation Approaches.
Our latest 0.9 release complements previous overhaul & restoration changes by increasing the
number of ..read more
ArangoDB Blog
4M ago
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.
Say Goodbye to Complex Relational Database Structures
If you’ve ever grappled with the intricate relationships of old-school relational databases, w ..read more
ArangoDB Blog
4M ago
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.
ArangoGraphML
ArangoGraphML, part of Ar ..read more
ArangoDB Blog
6M ago
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 ..read more
ArangoDB Blog
6M ago
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 ou ..read more
ArangoDB Blog
6M ago
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:
Reduced procurement time: AWS takes care of the ArangoGraph subscription so you can expedite the procurement process and get building quicker ..read more
ArangoDB Blog
6M ago
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?
Sharding is the solution.
While you can vertically scale your resources on your single server machine by adding more resources, sharding allows you to horizontally scale your dataset throughout multip ..read more