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DBMS > AnzoGraph DB vs. eXtremeDB vs. GeoSpock vs. IBM Db2 warehouse vs. OpenQM

System Properties Comparison AnzoGraph DB vs. eXtremeDB vs. GeoSpock vs. IBM Db2 warehouse vs. OpenQM

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationNatively in-memory DBMS with options for persistency, high-availability and clusteringSpatial and temporal data processing engine for extreme data scaleCloud-based data warehousing serviceQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitecambridgesemantics.com/­anzographwww.mcobject.comgeospock.comwww.ibm.com/­products/­db2/­warehousewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.mcobject.com/­docs/­extremedb.htm
DeveloperCambridge SemanticsMcObjectGeoSpockIBMRocket Software, originally Martin Phillips
Initial release2018200120141993
Current release2.3, January 20218.2, 20212.0, September 20193.4-12
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialcommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java, Javascript
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesyes
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 infosupport of XML interfaces availablenono infoImport/export of XML data possibleyes
Secondary indexesnoyestemporal, categoricalyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith the option: eXtremeSQLANSI SQL for query only (using Presto)yesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoPL/SQL, SQL PLyes
Triggersnoyes infoby defining eventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning / shardingAutomatic shardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAccess rights can be defined down to the item level
More information provided by the system vendor
AnzoGraph DBeXtremeDBGeoSpockIBM Db2 warehouse infoformerly named IBM dashDBOpenQM infoalso called QM
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
AnzoGraph DBeXtremeDBGeoSpockIBM Db2 warehouse infoformerly named IBM dashDBOpenQM infoalso called QM
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