The supported data models can be mixed in queries and allow ArangoDB to be the aggregation point for your data.
For the impatient: download and install ArangoDB. Start the server
arangod and point your browser to
Key Features in ArangoDB
- 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.
Next step, bundle your Foxx application as a docker container and get it running in the cloud.
Other features of ArangoDB include:
- 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
- It is open source (Apache License 2.0)
For more in-depth information read the design goals of ArangoDB
Latest Release - ArangoDB 2.8
The What's new in ArangoDB 2.8 can be found in the documentation.
FOR variable-name IN expression has been introduced.
The added Array Indexes are a major improvement to ArangoDB that you will love and never want to miss again. Hash indexes and skiplist indexes can now be defined for array values as well, so it’s freaking fast to access documents by individual array values.
Additional, there is a cool new aggregation feature that was added after the beta releases. AQL introduces the keyword
AGGREGATE for use in
AQL COLLECT statements. Using
AGGREGATE allows more efficient aggregation (incrementally while building the groups) than previous versions of AQL, which built group aggregates afterwards from the total of all group values
Optimizer improvements: The AQL query optimizer can now use indexes if multiple filter conditions on attributes of the same collection are combined with logical ORs, and if the usage of indexes would completely cover these conditions.
ArangoDB 2.8 now has an automatic deadlock detection for transactions. A deadlock is a situation in which two or more concurrent operations (user transactions or AQL queries) try to access the same resources (collections, documents) and need to wait for the others to finish, but none of them can make any progress.
The module resolution used by
require now behaves more like in node.js. The
org/arangodb/request module now returns response bodies for error responses by default. The old behavior of not returning bodies for error responses can be re-enabled by explicitly setting the option
Please check the Installation Manual for installation and compilation instructions.
The User Manual has an introductory chapter showing the basic operations of ArangoDB.
Stay in Contact
We really appreciate feature requests and bug reports. Please use our Github issue tracker for reporting them:
You can use the Google group for improvements, feature requests, comments