ArangoSearch: Search and similarity ranking engine integrated natively into ArangoDB and AQL. ArangoSearch combines Boolean retrieval capabilities with generalized ranking algorithms (BM25, TFDIF). Support of e.g. relevance-based searching, phrase and prefix-matching, complex boolean searches and query time relevance tuning. Search can be combined with all supported data models in a single query. Many specialized language analyzers are already included for e.g. English, German, French, Chinese, Spanish and many other language.
GeoJSON Support and S2 Geo Index: ArangoDB now supports all geo primitives. (Multi-)Point, (Multi-)LineStrings, (Multi-)Polygons or intersections can be defined and queried for. The Google S2 geo index is optimized for RocksDB and enables efficient querying. Geo query results are automatically visualized with an OpenStreetMap integration within the Query Editor of the web interface.
Query Profiler: Enables the analysis of queries and adds additional information for the user to identify optimization potentials more easily. The profiler can be accessed via Arangosh with
db._profileQuery(...)or via the Profile button in the Query Editor of the web interface.
Streaming Cursors: Cursors requested with the stream option on make queries calculate results on the fly and make them available for the client in a streaming fashion, as soon as possible.
RocksDB as Default Storage Engine: With ArangoDB 3.4 the default storage engine for fresh installations will switch from MMFiles to RocksDB. Many optimizations have been made to RocksDB since the first release in 3.2. For 3.4 we optimized the binary storage format for improved insertion, implemented "optional caching", reduced the replication catch-up time and much more.
Also see What's New in 3.4.
Datacenter to Datacenter Replication: Replicate the entire structure and content of an ArangoDB cluster asynchronously to another cluster in a different datacenter with ArangoSync. Multi-datacenter support means you can fallback to a replica of your cluster in case of a disaster in one datacenter.
Encrypted Backups: Arangodump can create backups encrypted with a secret key using AES256 block cipher.
Server-level Replication: In addition to per-database replication, there is now an additional
globalApplier. Start the global replication on the slave once and all current and future databases will be replicated from the master to the slave automatically.
Asynchronous Failover: Make a single server instance resilient with a second server instance, one as master and the other as asynchronously replicating slave, with automatic failover to the slave if the master goes down.
Also see What's New in 3.3.
RocksDB Storage Engine: You can now use as much data in ArangoDB as you can fit on your disk. Plus, you can enjoy performance boosts on writes by having only document-level locks.
Pregel: We implemented distributed graph processing with Pregel to discover hidden patterns, identify communities and perform in-depth analytics of large graph data sets.
Fault-Tolerant Foxx: The Foxx management internals have been rewritten from the ground up to make sure multi-coordinator cluster setups always keep their services in sync and new coordinators are fully initialized even when all existing coordinators are unavailable.
LDAP integration: Users and permissions can be managed from outside ArangoDB with an LDAP server in different authentication configurations.
Encryption at Rest: Let the server persist your sensitive data strongly encrypted to protect it even if the physical storage medium gets stolen.
Satellite Collections: Faster join operations when working with sharded datasets by synchronously replicating selected collections to all database servers in a cluster, so that joins can be executed locally.
Also see What's New in 3.2.
Vertex-centric indices: AQL traversal queries can utilize secondary edge collection indexes for better performance against graphs with supernodes.
VelocyPack over HTTP: In addition to JSON, the binary storage format VelocyPack can now also be used in transport over the HTTP protocol, as well as streamed using the new bi-directional asynchronous binary protocol VelocyStream.
SmartGraphs: Scale with graphs to a cluster and stay performant. With SmartGraphs you can use the "smartness" of your application layer to shard your graph efficiently to your machines and let traversals run locally.
Encryption Control: Choose your level of SSL encryption
Auditing: Keep a detailed log of all the important things that happened in ArangoDB.
Also see What's New in 3.1.
self-organizing cluster with synchronous replication, master/master setup, shared nothing architecture, cluster management agency.
Deeply integrated, native AQL graph traversal
VelocyPack as new internal binary storage format as well as for intermediate AQL values.
Persistent indexes via RocksDB suitable for sorting and range queries.
Foxx 3.0: overhauled JS framework for data-centric microservices
Significantly improved Web Interface
Also see What's New in 3.0.