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An Introduction to Geo Indexes and their performance characteristics: Part II
Geo Index Implementation This section will cover the MMFiles based geo-index. The algorithm is optimized for in-memory accesses and optimal CPU cache utilization. The main goal for our geo queries is to reject as many distant possible result points as fast as possible.
ArangoJS 6.0.0 released: Load Balancing, Automated Failover and completely written in TypeScript
Version 6.0.0 of the JavaScript driver arangojs is now available (Find it on GitHub). This is a major release that introduces a small number of breaking changes so make sure to check out the arangojs changelog before upgrading. The most significant additions in this release are support for load balancing and automated failover as well as improved browser…
Present and Future of ArangoDB Fulltext Index
The ArangoDB Fulltext index allows you to search for text in arbitrary strings. It is a great way to implement things like autocompletion, product searches or many other use-cases which need some form of fulltext search. The Fulltext Index is suitable for you if your use-case can be broken down to:
An Introduction to Geo Indexes and their performance characteristics: Part I
Starting with the mass-market availability of smartphones and continuing with IoT devices, self-driving cars ever more data is generated with geo information attached to it. Analyzing this data in real-time requires the use of clever indexing data-structures. Geo data in ArangoDB consists of 2 or more dimensions representing (x, y) coordinates on the earth surface….
ArangoDB 3.3: DC2DC Replication, Encrypted Backup
Just in time for the holidays we have a nice present for you all – ArangoDB 3.3. This release focuses on replication, resilience, stability and thus on general readiness for your production small and very large use cases. There are improvements for the community as well as for the Enterprise Edition. We sincerely hope to…
Spring is coming! – ArangoDB meets Spring Data
This year we got a lot of requests from our customers to provide Spring Data support for ArangoDB. So we listened and teamed up with one of our bigger customers from the financial sector to develop a Spring Data implementation for ArangoDB. We have also made an extensive demo on how to use Spring Data…
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…