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ArangoDB DigitalOcean Cluster: Scalable and Efficient Deployment
It is often difficult and time-consuming to setup a cluster environment for development or production purposes. For this reason, we decided to make an initial setup for you as easy as possible. Today we’re introducing the first part of our new deployment tool for cloud computing platforms (Edit: now also available: Amazon Web Services and…
ArangoDB Release Candidate: Testing New Features & Stability
How often did you typed var db = require(“internal”).db; in the arangod console? If you are familiar with the arangosh JavasScript shell than you probably use a custom .arangosh.rc startup script in your home-directory which defines your own extra variables and functions that you need often. Now we’ve also added support for a file .arangod.rc…
More Efficient Data Exports with new Export API
ArangoDB 2.6 provides a specialized export API for exporting all documents from a collection and shipping them to a client application. It is rather limited but faster than the general-purpose AQL cursor API and can store its snapshots using less memory. A side effect of the speedup is that the first results will arrive much…
Improved Cursor API: ArangoDB Query Efficiency Boost
This week we pushed some modifications for ArangoDB’s cursor API into the devel branch. The change will result in less copying of AQL query results between the AQL and the HTTP layers. As a positive side effect, this will reduce the amount of garbage collection the built-in V8 has to do. These modifications should improve…
Enhancements for Data Modification Queries: ArangoDB Updates
Data-modification queries were enhanced in ArangoDB 2.4 to be able to also return the inserted, update or removed documents. For example, the following statement inserted a few documents and also returned them with all their attributes: FOR i IN 1..10 INSERT { value: i } IN test LET inserted = NEW RETURN inserted The syntax…
Upsert Operations in ArangoDB: Efficient Data Management
This week saw the completion of the AQL UPSERT command. This command will be very helpful in a lot of use cases, including the following: ensure that a document exists update a document if it exists, otherwise create it replace a document if it exists, otherwise create it The UPSERT command is executed on the…
Is Multi-Model the Future of NoSQL? ArangoDB Insights
Here is a slideshare and recording of my talk about multi-model databases, presented in Santa Clara earlier this month. Abstract: Recently a new breed of “multi-model” databases has emerged. They are a document store, a graph database and a key/value store combined in one program. Therefore they are able to cover a lot of use…
Graphs in data modeling
Max wrote an inspiring article about graphs in data modeling on Medium, packed with his own thoughts – “to sort out some things in my brain” (Max). He asks and answers the question: Are graphs and graph databases useful in data modeling, and if so, for what and under which circumstances? In his article, he…
ArangoDB 2.5.1 Release: Bug Fixes and Enhancements
This version is deprecated. Download the new version of ArangoDB A new release of ArangoDB is available for download. ArangoDB 2.5.1 adds slow-query log and killing running queries to the Http API and to the web-interface. We have also fixed inefficiencies in remove methods of the general-graph module and solved some issues regarding stability on…
Agile development vs. schema enforcement – a paradox resolved
The fans of modern and agile software development usually propose to use schemaless database engines to allow for greater flexibility, in particular during the early rapid prototyping phase of IT projects. The more traditionally minded insist that having a strict schema that is enforced by the persistence layer throughout the lifetime of a project is…