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DBMS > ArangoDB vs. RDF4J vs. StarRocks

System Properties Comparison ArangoDB vs. RDF4J vs. StarRocks

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
RDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.69
Rank#230  Overall
#9  RDF stores
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitearangodb.comrdf4j.orgwww.starrocks.io
Technical documentationdocs.arangodb.comrdf4j.org/­documentationdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.The Linux Foundation infosince Feb 2023
Initial release201220042020
Current release3.11.5, November 20232.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0
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.
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Implementation languageC++JavaC++, Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-free infoautomatically recognizes schema within a collectionyes infoRDF Schemasyes
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 SQLnonoyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
MySQL protocol
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Java
PHP
Python
Java
Server-side scripts infoStored proceduresJavaScriptyesuser defined functions
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0nonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factornone
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)
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesnoRole based access control and fine grained access rights
More information provided by the system vendor
ArangoDBRDF4J infoformerly known as SesameStarRocks
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...
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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
ArangoDBRDF4J infoformerly known as SesameStarRocks
DB-Engines blog posts

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

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