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DBMS > GeoSpock vs. Graph Engine vs. HEAVY.AI vs. RDFox vs. Riak KV

System Properties Comparison GeoSpock vs. Graph Engine vs. HEAVY.AI vs. RDFox vs. Riak KV

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRDFox  Xexclude from comparisonRiak KV  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performance knowledge graph and semantic reasoning engineDistributed, fault tolerant key-value store
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSGraph DBMS
RDF store
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsTime Series DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitegeospock.comwww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.oxfordsemantic.tech
Technical documentationwww.graphengine.io/­docs/­manualdocs.heavy.aidocs.oxfordsemantic.techwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGeoSpockMicrosoftHEAVY.AI, Inc.Oxford Semantic TechnologiesOpenSource, formerly Basho Technologies
Initial release2010201620172009
Current release2.0, September 20195.10, January 20226.0, Septermber 20223.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Javascript.NET and CC++ and CUDAC++Erlang
Server operating systemshosted.NETLinuxLinux
macOS
Windows
Linux
OS X
Data schemeyesyesyesyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexestemporal, categoricalnorestricted
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyesnono
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
Thrift
Vega
RESTful HTTP API
SPARQL 1.1
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
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 proceduresnoyesnoErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningSharding infoRound robinSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationreplication via a shared file systemselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardRoles, resources, and access typesyes, using Riak Security

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More resources
GeoSpockGraph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RDFoxRiak KV
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