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DBMS > H2 vs. HugeGraph vs. RDFox vs. Riak KV

System Properties Comparison H2 vs. HugeGraph vs. RDFox vs. Riak KV

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHugeGraph  Xexclude from comparisonRDFox  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A fast-speed and highly-scalable Graph DBMSHigh performance knowledge graph and semantic reasoning engineDistributed, fault tolerant key-value store
Primary database modelRelational DBMSGraph DBMSGraph DBMS
RDF store
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Score4.44
Rank#80  Overall
#9  Key-value stores
Websitewww.h2database.comgithub.com/­hugegraph
hugegraph.apache.org
www.oxfordsemantic.tech
Technical documentationwww.h2database.com/­html/­main.htmlhugegraph.apache.org/­docsdocs.oxfordsemantic.techwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperThomas MuellerBaiduOxford Semantic TechnologiesOpenSource, formerly Basho Technologies
Initial release2005201820172009
Current release2.2.220, July 20230.96.0, Septermber 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0commercialOpen Source infoApache version 2, commercial enterprise edition
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.
Implementation languageJavaJavaC++Erlang
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Linux
macOS
Windows
Linux
OS X
Data schemeyesyesyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyes infoalso supports composite index and range indexrestricted
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
SPARQL 1.1
HTTP API
Native Erlang Interface
Supported programming languagesJavaGroovy
Java
Python
C
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsasynchronous Gremlin script jobsErlang
Triggersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infodepending on used storage backend, e.g. Cassandra and HBasereplication via a shared file systemselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsRoles, resources, and access typesyes, using Riak Security

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More resources
H2HugeGraphRDFoxRiak KV
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