ArangoDB Enterprise: OneShard Single server performance & semantics with cluster fault-tolerance Not all use cases require horizontal scalability. In such cases, a OneShard deployment offers a practicable solution that enables significant performance improvements by massively reducing cluster-internal communication. A database created with OneShard enabled is limited to a single DB-Server node but still replicated synchronously…

SmartJoins – Making distributed Join Operations Local When sharding data collections to a cluster, running JOIN operations across data residing on different machines might require large amounts of data movements and network traffic and hence suboptimal performance. SmartJoins are a solution for running fast distributed JOIN operations against sharded collections by utilizing a smart sharding…

ArangoDB Enterprise: SmartGraphs & Disjoint SmartGraphs When the data set for a graph exceeds the limits of what you can host on a single instance of ArangoDB, you need to scale. However, sharding a graph through a cluster introduces new issues. When using standard graphs, traversals can involve many network hops between database servers. As…

ArangoDB Enterprise: SatelliteGraphs Graph database technology plays an important role in many large projects. Yet, in many cases it is not the graph that needs to be sharded but data stored as time series or JSON documents. Nonetheless, optimal performance is crucial for fast operational or analytical purposes and sometimes requires also the combination of…

ArangoDBEnterprise Edition Focus on solving enterprise-scale problems for mission critical workloads using secure graph data. Features like EnterpriseGraph, SmartGraph and SmartJoins allow lightning fast query execution, and Encryption 360, Data Masking, and Detailed Auditing enable highly secure work with ArangoDB. Together with feature-rich and fast drivers for Go, Node.js, Java, C#, PHP, and other languages, a Kubernetes operator,…