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The ArangoDB Operator for Kubernetes – Stateful Cluster Deployments in 5min
At ArangoDB we’ve got many requests for running our database on Kubernetes. This makes complete sense since Kubernetes is a highly popular system for deploying, scaling and managing containerized applications. Running any stateful application on Kubernetes is a bit more involved than running a stateless application, because of the storage requirements and potentially other requirements…
ArangoDB Cluster Administration Course Released
Cluster Administration course will take you all the way from concept and anatomy of the ArangoDB cluster to maintenance, resilience and troubleshooting of your distributed environment. When data size or workload makes purchasing of a single database server prohibitive one needs to rethink the system architecture and consider to cluster a farm of more affordable…
Configuring ArangoDB-PHP to use active failover
This article is about setting up active failover for ArangoDB-PHP, the PHP client driver for ArangoDB. It requires ArangoDB-PHP 3.3.2 or higher, and an ArangoDB server version of 3.3.4 or higher. Interested in trying out ArangoDB? Fire up your cluster in just a few clicks with ArangoDB ArangoGraph: the Cloud Service for ArangoDB. Start your…
Index types and how indexes are used in ArangoDB: Part II
In the first part of this article we dived deep into what indexes are currently available in ArangoDB (3.2 and 3.3), also briefly looking at what improvements are coming with ArangoDB 3.4. Read Part I here. In this Part II, we are going to focus on how to actually add indexes to a data model…
How We Wronged Neo4j & PostgreSQL: Update of ArangoDB Benchmark 2018
Recently, we published the latest findings of our Performance Benchmark 2018 including Neo4j, PostgGreSQL, MongoDB, OrientDB and, of course, ArangoDB. We tested bread & butter tasks in a client/server setup for all databases like single read/write and aggregation, but also things like shortest path queries which are a speciality for graph databases. Our goal was…
Index types and how indexes are used in ArangoDB: Part I
As in other database systems, indexes can be used in ArangoDB to speed up data retrieval queries, sometimes by many orders of magnitude. Getting the indexes set up the right way is essential for good query performance, so this is an important topic that affects most ArangoDB installations. This is Part I of how indexes…
NoSQL Performance Benchmark 2018 – MongoDB, PostgreSQL, OrientDB, Neo4j and ArangoDB
ArangoDB, as a native multi-model database, competes with many single-model storage technologies. When we started the ArangoDB project, one of the key design goals was and still is to at least be competitive with the leading single-model vendors on their home turf. Only then does a native multi-model database make sense. To prove that we…
Performance Impact of Meltdown and Spectre V1 Patches on ArangoDB
To investigate the impact of the Meltdown and Spectre patches on the performance of ArangoDB, we ran benchmark tests with the two storage engines available in ArangoDB (MMFiles & RocksDB). We used the arangobench benchmark and test tool for these tests. The tests include 10 different test cases with changing test parameters like concurrency, batch…
Using the WebUI AQL Editor – Basics
The ArangoDB query language (AQL) can be used to retrieve and modify data that is stored in ArangoDB. The AQL editor in the web interface is useful for running ad hoc AQL queries and trying things out. The editor is split into three parts. The center section allows you to write your query and modify…
Milestone ArangoDB 3.4:
ArangoSearch – Information retrieval with ArangoDB
For the upcoming ArangoDB 3.4 release we’ve implemented a set of information retrieval features exposed via new database object `View`. The `View` object is meant to be treated as another data source accessible via AQL and the concept itself is pretty similar to a classical “materialized” view in SQL. While we are still working on…