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DBMS > HugeGraph vs. JaguarDB vs. Microsoft Azure Table Storage vs. RDFox vs. SAP SQL Anywhere

System Properties Comparison HugeGraph vs. JaguarDB vs. Microsoft Azure Table Storage vs. RDFox vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDFox  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSPerformant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasetsHigh performance knowledge graph and semantic reasoning engineRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMSKey-value store
Vector DBMS
Wide column storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.jaguardb.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.oxfordsemantic.techwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationhugegraph.apache.org/­docswww.jaguardb.com/­support.htmldocs.oxfordsemantic.techhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperBaiduDataJaguar, Inc.MicrosoftOxford Semantic TechnologiesSAP infoformerly Sybase
Initial release20182015201220171992
Current release0.93.3 July 20236.0, Septermber 202217, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ infothe server part. Clients available in other languagesC++
Server operating systemsLinux
macOS
Unix
LinuxhostedLinux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes
Secondary indexesyes infoalso supports composite index and range indexyesnoyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnonoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP APIRESTful HTTP API
SPARQL 1.1
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnonoyes, in C/C++, Java, .Net or Perl
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.replication via a shared file systemSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes
User concepts infoAccess controlUsers, roles and permissionsrights management via user accountsAccess rights based on private key authentication or shared access signaturesRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
HugeGraphJaguarDBMicrosoft Azure Table StorageRDFoxSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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