ArangoDB 3.2 - released on July 20th 2017
RocksDB & Pluggable Storage Engine
Additional storage engine for ArangoDB to work with huge datasets. Document level locking on writes, no locking on reads
Distributed Graph Processing with Pregel
Use incremental graph processing algorithms in a single mode server or cluster
Foxx service are now self-healing, even if all coordinators go down.
Get documents sorted by distance to a certain point in space. You can also apply filters and limits to geo_cursor. E.g. “Give me 10 vegetarian restaurants within a 1 mile radius to X”
Export your data in multiple formats. Export graphs data to xgmml format for Cytoscape visualizations or arbitrary collections to JSON or JSONL
Satellite Collections (Enterprise Edition)
Satellite Collections enable faster join operations when working with sharded datasets and avoid expensive network hops during join processing among machines.
Encryption at Rest (Enterprise Edition)
Even if a disk gets stolen, data can’t be accessed.
LDAP (Enterprise Edition)
ArangoDB can now be integrated with LDAP allowing for an external authentication server to manage users.
ArangoDB 3.1 - Released November 3rd 2016
VelocyPack over HTTP
Stream binary storage VelocyPack over HTTP
Directly stream our binary format VelocyPack for high performance needs
boost-ASIO server infrastructure
Performance boost with new boost-ASIO
Use ArangoDB as a resilient, RAFT-based key/value store as alternative to ZooKeeper or etcd
Much easier to use. Choose JSON, tabular or graph outputs. Simplified elaboration of queries with new Query Performance Profiler
New Graph Viewer
Suitable for large graph visualization with much more features. First WebGL implementation
Overhauled Query Optimizer
Better overall query execution and performance increases
Preparations for pluggable storage engine and MVCC
Improved abstraction to integrate pluggable storage engine and MVCC
Generate indices on edges which are a combination of vertex and attribute
New Java Driver
Multi-document operations, VelocyStream ready, asynchronous request handling
SmartGraphs (Enterprise Edition)
Shard large graph datasets to a cluster and stay close to the performance of a single instance
Auditing (Enterprise Edition)
Keep a detailed log of all the important things that happened in ArangoDB
Encryption Control (Enterprise Edition)
Choose your level of SSL encryption
Future Plans For ArangoDB 3.x Development Cycle
It will be possible to utilize storage among multiple machines automatically.
Removing as many locks as possible will allow for even better parallelism of queries.
Improved Indexes (array, text, geo)
We plan to add or improve the existing indexes or add new features.
Reduces the administration cost as much as possible.
General Geo Functions
General geo functions help you deal with arbitrary polygons.
HTTP 2.0 and/or WebSockets
Support for new Web-protocols like HTTP 2.0 or WebSockets.
Collection Level Security
It will be possible to assign different authorization levels to various collections.
Vertex-centric indexes allow you to handle near neighbors very fast.
Allow to compress big text fields to trade time for memory.
Define constrains on your collection, in order to validate data entered.
Support for big data blobs.
Transactions in a distributed environment with a transaction manager.
Instead of sharding based on a hash value, allow to shard ranges.
ArangoDB 3.0 - Released June 23th 2016
Internal storage will change from JSON to VelocyPack for enhanced performance, smaller footprint and binary support.
We plan on making indexes persistent, which will allow using quicker recovery, start-up and larger datasets.
Low-Level C++ Driver
Implementation of efficient, reusable, platform-independent core driver functionality to be used in multiple client languages.
Allow for automatic failover to slave nodes. A monitor process detects network failures and automatically switches to backup nodes.
Replicate data not just in a master/slave fashion, but also as true master/master.
Automatic Failover with Mesos
This release will contain the next iteration of our Mesosphere DCOS integration and will thus offer convenient set-up of synchronous replication and full automatic failover.
Health Check Dashboard in Mesos
Enables you to see the health status of your ArangoDB cluster in Mesos dashboard.
Improved cluster administration will be implemented.
Instead of dedicated slave, you can use spare capacity on masters to hold the slave for other shards.
ArangoDB 2.8 – released 25/01/2016 ✓
Hash indexes and skiplist indexes support array values so they index individual array members.
Graph Traversals in AQL
Using AQL to traverse a graph / edge collections.
Reimplemented AQL functions in C++ for improved performance.
New Framework in Mesosphere DCOS 1.3
ArangoDB package for DCOS 1.3, enhanced replication and failover.
Automatic Deadlock Detection for Transactions
The new deadlock detection mechanism will kick in automatically when it detects operations that are mutually waiting for each other.
ArangoDB 2.7 - released 09/10/2015 ✓
This allows much easier synchronization of a single collection from a master to a slave server.
A lot is not enough. Throughput is another key requirement for a premium database. Again we pushed our throughput a big step forward with 2.7.
Improved Date Handling in AQL
AQL functions for date and time calculation and manipulation.
Split primary indexes and hash indexes into multiple index buckets.