ArangoDB
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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.
Check out our training center
to get started and see the full documentation
to dive deeper.
For the impatient:
-
Start the ArangoDB Docker container
docker run -e ARANGO_ROOT_PASSWORD=test123 -p 8529:8529 -d arangodb/arangodb
-
Alternatively, download and install ArangoDB.
Start the server arangod if the installer did not do it for you.
-
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:
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 forgo 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. By extending the HTTP API
with user code written in JavaScript, ArangoDB can be turned into a strict
schema-enforcing persistence engine.
Other features of ArangoDB include:
- 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
- Flexible data modeling: model your data as combination of key-value pairs,
documents or graphs - perfect for social relations
- Different storage engines: ArangoDB provides a storage engine for mostly
in-memory operations and an alternative storage engine based on RocksDB which
handle datasets that are much bigger than RAM.
- 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
- Configurable durability: let the application decide if it needs more
durability or more performance
- Schema-free schemata let you combine the space efficiency of MySQL with the
performance power of NoSQL
- Free index choice: use the correct index for your problem, be it a skiplist
or a fulltext search
- ArangoDB is multi-threaded - exploit the power of all your cores
- Easy to use web interface and command-line client tools for interaction
with the server
- It is open source (Apache License 2.0)
For more in-depth information read the
design goals of ArangoDB
Latest Release
Packages for all supported platforms can be downloaded from
https://www.arangodb.com/download.
Please also check what's new in ArangoDB.
See our documentation for detailed
installation & compilation instructions.
There is an introductory chapter
showing the basic operation of ArangoDB. To learn ArangoDB's query language check out the
AQL tutorial.
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 our Google group for improvements, feature requests, comments:
https://www.arangodb.com/community
StackOverflow is great for questions about AQL, usage scenarios etc.
https://stackoverflow.com/questions/tagged/arangodb
To chat with the community and the developers we offer a Slack chat:
https://slack.arangodb.com/
