![]() But with ArangoDB instead of running a bunch of different services, you run just one: ArangoDB. Microservices are a big buzzword but they can also be a nightmare to manage.Database for a modern PWA, it is practically a dropin replacement for something like MySQL if you want to use JSON and have a REST API - and that’s to say nothing of it’s multi-model capabilities.It is 1000000% easier to implement a plugin for ArangoDB than for one of the java monstrosities like elasticsearch. Plugins are implemented in javascript, they are close to the core so are ideal for implementing custom logic available on API endpoints.ArangoDB decreases the number of things you need to know, rather than increases.There is a consistently clear emphasis on ease of use and ease of learning.It has a web interface with a built-in visualizer and query analyzer.The devs really care about performance, it has a fast c/c++ core and a V8 javascript layer on top of the core (Foxx microservices), rather than being a java monstrosity.You just install it and it’s ready to go - no dependencies or complications. Can act as a standalone backend server, presenting a REST API.Natively JSON, basically it speaks, thinks in and understands JSON.Not only that but it caters to providing JSON data to client side rendering frameworks - in that sense it is highly practical. ArangoDB is a multi-model database, which means it can act as a document store (like MongoDB), key: value store (like Redis) and a graph database (like neo4j). I found a database called ArangoDB that thoroughly exceeds expectations. There is no need for one of these to be the root of the data. Multiple data models with one technology reduces the complexity of the tech stack.Īccessing your data with a single, feature-rich query language saves on development effort.A graph database can model complex relationships: for example here the Pali Nikayas are children of “su” (Suttas) and “pi” (Pali). The main reason for using ArangoDB is to increase application development agility and reduce costs. Among us we have multiple PhDs, from St Andrew’s, RWTH and Princeton, and our founders worked with the likes of DHL, NYSE and Deutsche Bank before starting the ArangoDB project. The first release was back in 2011, but our team’s NoSQL expertise goes back for over a decade. The main team behind ArangoDB has grown steadily. Simplifying the complexity of the tech stack in this way gives developers more time to work on their applications, improving their productivity. The database combines a full, scalable document store with transactions and JOIN operations, with fully-fledged graph queries. We support three major models in one core, with one query language, including transactional semantics. One option is to deploy several databases, meaning your DBAs need to learn and maintain multiple technologies, and spend their days trying to get a consistent state of data across them – a kind of mission impossible.ĪrangoDB provides a simpler solution. So selecting just one kind of database, optimized for a single model, for all of those tasks, would be painfully limiting and expensive, if you think about the weeks and months developers spend on adapting their data to a relational schema. Inside those applications, you’ll find different kinds of data access characteristics. In an enterprise, different applications use different data models. ArangoDB is a native multi-model database that combines three major NoSQL data models in a single core: key-value, document and graph, with one declarative query language, AQL. We spoke to Luca Olivari, President of ArangoDB, to find out more about their technology and the multi-model approach in general. Many of our customers rely on graph databases to provide the speedy graph querying needed to power their KeyLines deployments.Īnother option is growing in popularity: multi- model databases. Interest in graph-optimized databases has exploded, as developers look for a better way to work with complex and messy real-world data. ![]() Earlier this year we welcomed ArangoDB to the Cambridge Intelligence technology alliance.
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