After a lot of planning, coding and testing we can finally share the first Release Candidate of ArangoDB 3.5 with you today. You can get it on our Technical Preview Download page: Community & Enterprise.
Estimated reading time: 19 minutes
Graph databases are often used to analyze relations within highly interconnected datasets. Social networks, recommendation engines, corporate hierarchies, fraud detection or querying a bill of materials are common use cases. But these datasets change over time and you as a developer or data scientist may want to time travel and analyze these changes.
While ArangoDB may not come with built-in support for managing the revision history of graph data, we’ll show in this article how to manage it in a performant manner for some general classes of graphs. Best of all, this won’t require any..
Estimated reading time: 1 minutes
ArangoDB named by G2 Crowd users as the most popular graph database used today.
Estimated reading time: 5 minutes
InfoCamere is the IT company of the Italian Chambers of Commerce. By devising and developing up-to-date and innovative IT solutions and services, it connects the Chambers of Commerce and their databases through a network that is also accessible to the public via the Internet. Thanks to InfoCamere, businesses, Public Authorities, trade associations, professional bodies and simple citizens – both in Italy and abroad – can easily access updated and official information and economic data on all businesses registered and operating in Italy.
The Italian Chambers of Commerce are public bodies..
Estimated reading time: 1 minutes
Wednesday, September 6th (5PM CEST/11AM ET/8AM PT) – Join the webinar here
Estimated reading time: 6 minutes
We are pleased to announce the release of ArangoDB 3.2. Get it here. After an unusually long hackathon, we eliminated two large roadblocks, added a long overdue feature and integrated an interesting new one into this release. Furthermore, we’re proud to report that we increased performance of ArangoDB on average by 35%, while at the same time reduced the memory footprint compared to version 3.1. In combination with a greatly improved cluster management, we think ArangoDB 3.2 is by far our best work. (see release notes for more details)
One key goal of ArangoDB has always been to provide a..
Estimated reading time: 8 minutes
We’re excited to release today the beta of ArangoDB 3.2. It’s feature rich, well tested and hopefully plenty of fun for all of you. Keen to take it for a spin? Get ArangoDB 3.2 beta here.
With ArangoDB 3.2, we’re introducing the long-awaited pluggable storage engine and its first new citizen, RocksDB from Facebook
Estimated reading time: 1 minutes
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:
Estimated reading time: 4 minutes
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..
Estimated reading time: 4 minutes
Use-Case
The graph database use-case we are stepping through in this post is the following: In our web application we have several places where a user is led through a survey, where she decides on details for one of our products. Some of the options within the survey depend on previous decisions and some are independent.
Examples:
- Configure a new car
- Configure a new laptop
- Book extras with your flight (meal, reserve seat etc.)
- Configure a new complete kitchen
- Collect customer feedback via logic-jump surveys
We would like to easily offer a generic page which can be seeded with any..
Get the latest tutorials,
blog posts and news: