Highlights
Version 3.5
All Editions
ArangoSearch:The search and ranking engine received an upgrade and now featuresConfigurable Analyzers,Sorted Viewsand several improvements to theAQL integration
AQL Graph Traversals:k Shortest Paths allows you to query notjust for one shortest path between two documents but multiple, sorted bylength or weight. With PRUNE you canstop walking down certain paths early in a graph traversal to improve itsefficiency.
Stream Transaction API:Perform multi-document transactions with individual begin and commit / abortcommands using the new HTTP endpoints or via a supported driver.
Time-to-LiveIndexes:TTL indexes can be used to automatically remove documents in collections foruse cases like expiring sessions or automatic purging of statistics or logs.
Index Hints &Named IndexesIndexes can be given names and an optional AQL inline query option
indexHint
was added to override the internal optimizer decision on whichindex to utilize.Data Masking:arangodump provides a convenient way to extract production data but maskcritical information that should not be visible.
Enterprise Edition
SmartJoins:SmartJoins allow to run joins between identically sharded collections withperformance close to that of a local join operation.
Advanced Data Masking:There are additionaldata masking functionsavailable in the Enterprise Edition, such as to substitute email addresses,phone numbers etc. with similar looking pseudo-data.
Version 3.4
All Editions
ArangoSearch:Search and similarity ranking engine integrated natively into ArangoDB andAQL. ArangoSearch combines Boolean retrieval capabilities with generalizedranking algorithms (BM25, TFDIF). Support of e.g. relevance-based searching,phrase and prefix-matching, complex boolean searches and query time relevancetuning. Search can be combined with all supported data models in a singlequery. Many specialized language analyzers are already included for e.g.English, German, French, Chinese, Spanish and many other language.
GeoJSON Support andS2 Geo Index: ArangoDB now supports all geo primitives.(Multi-)Point, (Multi-)LineStrings, (Multi-)Polygons or intersections can bedefined and queried for. The Google S2 geo index is optimized for RocksDB andenables efficient querying. Geo query results are automatically visualizedwith an OpenStreetMap integration within the Query Editor of the web interface.
Query Profiler:Enables the analysis of queries and adds additional information for the userto identify optimization potentials more easily. The profiler can be accessedvia Arangosh with
db.profileQuery(…)
or via the _Profile button in theQuery Editor of the web interface.Streaming Cursors:Cursors requested with the stream option on make queries calculate resultson 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 defaultstorage engine for fresh installations willswitch from MMFiles to RocksDB. Many optimizations have been made to RocksDBsince the first release in 3.2. For 3.4 we optimized the binary storageformat for improved insertion, implemented “optional caching”, reduced thereplication catch-up time and much more.
Also see What’s New in 3.4.
Version 3.3
Enterprise Edition
Datacenter to Datacenter Replication:Replicate the entire structure and content of an ArangoDB clusterasynchronously to another cluster in a different datacenter with ArangoSync.Multi-datacenter support means you can fallback to a replica of your clusterin case of a disaster in one datacenter.
Encrypted Backups:Arangodump can create backups encrypted with a secret key using AES256block cipher.
All Editions
Server-level Replication:In addition to per-database replication, there is now an additional
globalApplier
. Start the global replication on the slave once and allcurrent and future databases will be replicated from the master to theslave automatically.Asynchronous Failover:Make a single server instance resilient with a second server instance, oneas master and the other as asynchronously replicating slave, with automaticfailover to the slave if the master goes down.
Also see What’s New in 3.3.
Version 3.2
All Editions
RocksDB Storage Engine: You can now useas much data in ArangoDB as you can fit on your disk. Plus, you can enjoyperformance boosts on writes by having only document-level locks.
Pregel:We implemented distributed graph processing with Pregel to discover hiddenpatterns, identify communities and perform in-depth analytics of large graphdata sets.
Fault-Tolerant Foxx: The Foxx managementinternals have been rewritten from the ground up to make suremulti-coordinator cluster setups always keep their services in sync andnew coordinators are fully initialized even when all existing coordinatorsare unavailable.
Enterprise Edition
LDAP integration: Users and permissionscan be managed from outside ArangoDB with an LDAP server in differentauthentication configurations.
Encryption at Rest: Let the serverpersist your sensitive data strongly encrypted to protect it even if thephysical storage medium gets stolen.
Satellite Collections: Faster join operations whenworking with sharded datasets by synchronously replicating selectedcollections to all database servers in a cluster, so that joins can beexecuted locally.
Also see What’s New in 3.2.
Version 3.1
All Editions
Vertex-centric indices:AQL traversal queries can utilize secondary edge collectionindexes for better performance against graphs with supernodes.
VelocyPack over HTTP:In addition to JSON, the binary storage format VelocyPack can now also beused in transport over the HTTP protocol, as well as streamed using the newbi-directional asynchronous binary protocol VelocyStream.
Enterprise Edition
SmartGraphs: Scale with graphs to acluster and stay performant. With SmartGraphs you can use the “smartness”of your application layer to shard your graph efficiently to your machinesand let traversals run locally.
Encryption Control: Choose your level of SSL encryption
Auditing: Keep a detailed logof all the important things that happened in ArangoDB.
Also see What’s New in 3.1.
Version 3.0
self-organizing cluster withsynchronous replication, master/master setup, shared nothingarchitecture, cluster management agency.
Deeply integrated, native AQL graph traversal
VelocyPack as new internalbinary storage format as well as for intermediate AQL values.
Persistent indexes via RocksDB suitablefor sorting and range queries.
Foxx 3.0: overhauled JS framework for data-centricmicroservices
Significantly improved Web Interface
Also see What’s New in 3.0.