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README
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README
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ArangoDB
ArangoDB is a multi-model, open-source database with flexible data models for
documents, graphs, and key-values. Build high performance applications using a
convenient SQL-like query language or JavaScript extensions. Use ACID
transactions if you require them. Scale horizontally with a few mouse clicks.
The supported data models can be mixed in queries and allow ArangoDB to be the
aggregation point for your data.
To get started, try one of our 10 minutes tutorials in your favorite
programming language or try one of our ArangoDB_Cookbook_recipes.
For the impatient: download and install ArangoDB. Start the server arangod and
point your browser to http://127.0.0.1:8529/.
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:
AQL Query Example AQL Query Example
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.
Furthermore, ArangoDB offers a JavaScript framework called Foxx that is
executed in the database server with direct access to the data. Build your own
data-centric microservices with a few lines of code:
Microservice Example
Microservice Example Microservice Example
By extending the HTTP API with user code written in JavaScript, ArangoDB can be
turned into a strict schema-enforcing persistence engine.
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
* JavaScript for all: no language zoo, you can use one language from your
browser to your back-end
* 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 2.6
The What’s_new_in_ArangoDB_2.6 can be found in the documentation.
New collection export HTTP REST API: ArangoDB now provides a dedicated
collection export API, which can take snapshots of entire collections more
efficiently than the general-purpose cursor API. The export API is useful to
transfer the contents of an entire collection to a client application.
Added batch document removal and lookup commands: The commands
collection.lookupByKeys(keys) and collection.removeByKeys(keys) have been added
for collection objects. These can be used to perform multi-document lookup and
removal operations efficiently from the ArangoShell.
Added AQL UPSERT command: This adds an UPSERT statement to AQL that is a
combination of both INSERT and UPDATE / REPLACE. The UPSERT will search for a
matching document using a user-provided example. If no document matches the
example, the insert part of the UPSERT statement will be executed. If there is
a match, the update / replace part will be carried out.
We have simplified the return value syntax for data-modification AQL queries,
added an alternative implementation for AQL COLLECT that uses a hash table for
grouping and does not require its input elements to be sorted.
Other optimizations and speedups in AQL relate to subqueries, return values and
queries containing big IN lists for index lookups.
Arangoimp can now optionally update or replace existing documents, provided the
import data contains documents with _key attributes.
Foxx Improvements
Added Configuration and Dependencies so that manifests can now define
configuration options, as well as dependencies on other Foxx apps. With the
Mocha Test framework you can now write_tests_for_your_Foxx_apps. The API
documentation has been updated to Swagger 2.
More Information
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:
https://github.com/arangodb/arangodb/issues
You can use the Google group for improvements, feature requests, comments
http://www.arangodb.com/community