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DBMS > ArangoDB vs. BigObject vs. Blueflood vs. RDFox

System Properties Comparison ArangoDB vs. BigObject vs. Blueflood vs. RDFox

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonBigObject  Xexclude from comparisonBlueflood  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Analytic DBMS for real-time computations and queriesScalable TimeSeries DBMS based on CassandraHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSGraph DBMS
RDF store
Secondary database modelsRelational 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
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score0.09
Rank#353  Overall
#33  Time Series DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Websitearangodb.combigobject.ioblueflood.iowww.oxfordsemantic.tech
Technical documentationdocs.arangodb.comdocs.bigobject.iogithub.com/­rax-maas/­blueflood/­wikidocs.oxfordsemantic.tech
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.BigObject, Inc.RackspaceOxford Semantic Technologies
Initial release2012201520132017
Current release3.11.5, November 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infofree community edition availableOpen Source infoApache 2.0commercial
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++JavaC++
Server operating systemsLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Linux
macOS
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyespredefined schemeyes infoRDF schemas
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
fluentd
ODBC
RESTful HTTP API
HTTP RESTRESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C
Java
Server-side scripts infoStored proceduresJavaScriptLuano
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0noneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factornoneselectable replication factor infobased on Cassandrareplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnono
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)
noneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoautomatically between fact table and dimension tablesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesnonoRoles, resources, and access types
More information provided by the system vendor
ArangoDBBigObjectBluefloodRDFox
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
ArangoDBBigObjectBluefloodRDFox
DB-Engines blog posts

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

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