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DBMS > ArangoDB vs. BigObject vs. RDF4J

System Properties Comparison ArangoDB vs. BigObject vs. RDF4J

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonBigObject  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 queriesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMS infoa hierachical model (tree) can be imposedRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.44
Rank#81  Overall
#14  Document stores
#5  Graph DBMS
#10  Key-value stores
#10  Search engines
Score0.13
Rank#332  Overall
#147  Relational DBMS
Score0.77
Rank#214  Overall
#8  RDF stores
Websitearangodb.combigobject.iordf4j.org
Technical documentationdocs.arangodb.comdocs.bigobject.iordf4j.org/­documentation
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.BigObject, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201220152004
Current release3.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infofree community edition availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
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++Java
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
Unix
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
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
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Java
PHP
Python
Server-side scripts infoStored proceduresJavaScriptLuayes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factornonenone
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)
none
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoautomatically between fact table and dimension tables
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesnono
More information provided by the system vendor
ArangoDBBigObjectRDF4J infoformerly known as Sesame
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
ArangoDBBigObjectRDF4J infoformerly known as Sesame
DB-Engines blog posts

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

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Recent citations in the news

Graph Database Market Size is Projected to Reach USD 14.53
22 August 2024, GlobeNewswire

Open source graph database company ArangoDB raises $27.8M
6 October 2021, VentureBeat

ArangoDB Boosts Performance and Usability Across Search, Graph, and Analytics with Release of ArangoDB 3.11
30 May 2023, Datanami

ArangoDB 3.5 update improves multi-model database platform
22 August 2019, TechTarget

Multimodel database company ArangoDB lands $10M in funding
14 March 2019, SiliconANGLE News

provided by Google News



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