This page was last modified on 18 June 2016, at 14:43.
2.8.9 / May 13, 2016
|Operating system||Linux,OS X,Debian,Windows|
|Type||Graph database, Document-oriented database|
The supported data models can be mixed in queries and allow ArangoDB to be the aggregation point for your data.
Key Features in ArangoDB
- Schema-free schemata let you combine the space efficiency of MySQL with the performance power of NoSQL
- Use a data-centric microservices approach with ArangoDB Foxx and fuse your application-logic and database together for maximal throughput
- ArangoDB is multi-threaded - exploit the power of all your cores
- Flexible data modeling: model your data as combination of key-value pairs, documents or graphs - perfect for social relations
- Free index choice: use the correct index for your problem, be it a skip list or a fulltext search
- Configurable durability: let the application decide if it needs more durability or more performance
- Powerful query language (AQL) to retrieve and modify data
- Transactions: run queries on multiple documents or collections with optional transactional consistency and isolation
- Replication and Sharding: set up the database in a master-slave configuration or spread bigger datasets across multiple servers
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- Multi-Model: Documents, graphs and key-value pairs — model your data as you see fit for your application.
- Joins: Conveniently join what belongs together for flexible ad-hoc querying, less data redundancy.
- Transactions: Easy application development keeping your data consistent and safe. No hassle in your client.
Here is an AQL query that makes use of all those features:
Joins and transactions are key features for flexible, secure data designs, widely used in relational databases but lacking in many NoSQL products. However, there is no need to forego them in ArangoDB. You decide how and when to use joins and strong consistency guarantees, without sacrificing performance and scalability.
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