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DBMS > ArangoDB vs. Dgraph vs. HugeGraph vs. Lovefield

System Properties Comparison ArangoDB vs. Dgraph vs. HugeGraph vs. Lovefield

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonDgraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Distributed and scalable native Graph DBMSA fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Graph DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.77
Rank#87  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Websitearangodb.comdgraph.iogithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefield
Technical documentationdocs.arangodb.comdgraph.io/­docshugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.Dgraph Labs, Inc.BaiduGoogle
Initial release2012201620182014
Current release3.11.5, November 20230.92.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++GoJavaJavaScript
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnononoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
JavaScript
Server-side scripts infoStored proceduresJavaScriptnoasynchronous Gremlin script jobsno
TriggersnononoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0yesyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorSynchronous replication via Raftyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlyesno infoPlanned for future releasesUsers, roles and permissionsno
More information provided by the system vendor
ArangoDBDgraphHugeGraphLovefield
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
ArangoDBDgraphHugeGraphLovefield
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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