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ArangoDB Java Driver: Load Balancing for Performance
The newest release 4.3.2 of the official ArangoDB Java driver comes with load balancing for cluster setups and advanced fallback mechanics. Load balancing strategies Round robin There are two different strategies for load balancing that the Java driver provides. The first and most common strategy is the round robin way. Round robin does, what the…
ArangoDB Named Best Free Graph Database by G2 Crowd Users
ArangoDB named by G2 Crowd users as the most popular graph database used today. ArangoDB has been identified as the highest rated graph database, based on its high levels of customer satisfaction and likeliness to recommend ratings from real G2 Crowd users. ArangoDB received a near perfect 4.9 out of 5 star average for user…
AWS Neptune: A New Vertex in the Graph World — But Where’s the Edge?
At AWS Re:Invent just a few days ago, Andy Jassy, the CEO of AWS, unveiled their newest database product offerings: AWS Neptune. It’s a fully managed, graph database which is capable of storing RDF and property graphs. It allows developers access to data via SPARQL or java-based TinkerPop Gremlin. As versatile and as good as…
ArangoDB | RocksDB Integration: Performance Enhancement
I have varying levels of familiarity with Google’s original leveldb and three of its derivatives. RocksDB is one of the three. In each of the four leveldb offerings, the code is optimized for a given environment. Google’s leveldb is optimized for a cell phone, which has much more limited resources than a server. RocksDB is…
ArangoDB | Introduction to Fuerte: ArangoDB C++ Driver
In this post, we will introduce you to our new ArangoDB C++ diver fuerte. fuerte allows you to communicate via HTTP and VST with ArangoDB instances. You will learn how to create collections, insert documents, retrieve documents, write AQL Queries and how to use the asynchronous API of the driver. Requirements (Running the sample) Please…
ArangoDB 3.3 Beta Release – New Features and Enhancements
It is all about improving replication. ArangoDB 3.3 comes with two new exciting features: data-center to data-center replication for clusters and a much improved active-passive mode for single-servers. ArangoDB 3.3 focuses on replications and improvements in this area and provides a much better user-experience when setting up a resilient single-servers with automatic failover. This beta…
ArangoDB | Infocamere Investigation: Graph Databases Case Study
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…
Performance analysis with pyArango: Part III Measuring possible capacity with usage Scenarios
So you measured and tuned your system like described in the Part I and Part II of these blog post series. Now you want to get some figures how many end users your system will be able to serve. Therefore you define “scenarios” which will be typical for what your users do.
ArangoDB | Milestone2: ArangoDB 3.3 New Data Replication
We’re pleased to announce the availability of the Milestone 2 of ArangoDB 3.3. There are a number of improvements, please consult the changelog for a complete overview of changes. This milestone release contains our new and improved data replication engine. The replication engine is at the core of every distributed ArangoDB setup: whether it is…
Milestone 1 ArangoDB 3.3: Datacenter to Datacenter Replication
Every company needs a disaster recovery plan for all important systems. This is true from small units like single processes running in some container to the largest distributed architectures. For databases in particular this usually involves a mixture of fault-tolerance, redundancy, regular backups and emergency plans. The larger a data store, the more difficult is…