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DBMS > BaseX vs. Faircom DB vs. HugeGraph vs. RDF4J

System Properties Comparison BaseX vs. Faircom DB vs. HugeGraph vs. RDF4J

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonHugeGraph  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A fast-speed and highly-scalable Graph DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelNative XML DBMSKey-value store
Relational DBMS
Graph DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitebasex.orgwww.faircom.com/­products/­faircom-dbgithub.com/­hugegraph
hugegraph.apache.org
rdf4j.org
Technical documentationdocs.basex.orgdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlhugegraph.apache.org/­docsrdf4j.org/­documentation
DeveloperBaseX GmbHFairCom CorporationBaiduSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2007197920182004
Current release11.0, June 2024V12, November 20200.9
License infoCommercial or Open SourceOpen Source infoBSD licensecommercial infoRestricted, free version availableOpen Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++JavaJava
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Unix
Linux
OS X
Unix
Windows
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesyes infoRDF Schemas
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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 indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsnono
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Groovy
Java
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++asynchronous Gremlin script jobsyes
Triggersyes infovia eventsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writertunable from ACID to Eventually ConsistentACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes 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.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsFine grained access rights according to SQL-standard with additional protections for filesUsers, roles and permissionsno

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More resources
BaseXFaircom DB infoformerly c-treeACEHugeGraphRDF4J infoformerly known as Sesame
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