RethinkDB vs ArangoDB

Only takes about 30 seconds to install. They also have a docker file for running it on AWS, Google Cloud or your own.

You can listen to changes and trigger code based on these changes.

RethinkDB's ReQL is a very powerful functional query language. The functional aspects of ReQL and the straightforward implementation of the Node driver for Rethinkdb make it a natural fit for Javascript developers. You no longer have to type some obscure syntax in quotes (aka SQL), your queries are just "natural" Javascript functions in the same way you would use lodash to handle your collections.

Unlike a lot of other databases where if the master is down the system is down, this one if the master is down someone else is made master so much more peer to peer.

RethinkDB has administration tools in both CLI and GUI (web app). You can view whats going on right away by going to localhost:8080. The data explorer allows you to run queries on the db.

RethinkDB is scalable horizontally. It has support for sharding, parallel queries and MVCC concurrency.

You can directly tell it to shard/replicate and how many shards/replicas depending on the amount of nodes. Each node doesn't need anything except one other node's ip/port in the cluster to join and maybe the auth.

You can model your data as documents or as a graph - no data model lock-in. You can even combine both models and use them in a single AQL query.

Unlike many NoSQL databases, ArangoDB does support joins in AQL queries.

You can extend ArangoDB using JavaScript that runs directly on the Server (Google V8). You can build data-centric microservices that aggregate, validate, transform or enrich data (It's up to you, plain JavaScript) and provide those via a custom API route.

You can use ACID Transactions for short and small data retrieval and/or modification operations in ArangoDB.

ArangoDB has a very good Java Driver for synchronous and asynchronous. In addition the team there is working on a Spring Data integration.