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DBMS > HugeGraph vs. IBM Db2 Event Store vs. RDFox vs. SAP IQ vs. XTDB

System Properties Comparison HugeGraph vs. IBM Db2 Event Store vs. RDFox vs. SAP IQ vs. XTDB

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRDFox  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDistributed Event Store optimized for Internet of Things use casesHigh performance knowledge graph and semantic reasoning engineColumnar RDBMS optimized for Big Data analyticsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMSEvent Store
Time Series DBMS
Graph DBMS
RDF store
Relational DBMS infocolumn-orientedDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score2.64
Rank#108  Overall
#52  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2-event-storewww.oxfordsemantic.techwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationhugegraph.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.oxfordsemantic.techhelp.sap.com/­docs/­SAP_IQwww.xtdb.com/­docs
DeveloperBaiduIBMOxford Semantic TechnologiesSAP, formerly SybaseJuxt Ltd.
Initial release20182017201719942019
Current release0.92.06.0, Septermber 202216.1 SPS04, April 20191.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++Clojure
Server operating systemsLinux
macOS
Unix
Linux infoLinux, macOS, Windows for the developer additionLinux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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 indexesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
ADO.NET
JDBC
ODBC
RESTful HTTP API
HTTP REST
JDBC
Supported programming languagesGroovy
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
Java
C
C#
C++
Java
Perl
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingshared disk or shared nothing architectures with SAP IQ Multiplexernone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseActive-active shard replicationreplication via a shared file systemSAP/Sybase Replication Serveryes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
HugeGraphIBM Db2 Event StoreRDFoxSAP IQ infoformer name: Sybase IQXTDB infoformerly named Crux
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