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DBMS > AnzoGraph DB vs. eXtremeDB vs. OrigoDB vs. TerarkDB vs. VelocityDB

System Properties Comparison AnzoGraph DB vs. eXtremeDB vs. OrigoDB vs. TerarkDB vs. VelocityDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
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 clusteringA fully ACID in-memory object graph databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Document store
Object oriented DBMS
Key-value storeGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitecambridgesemantics.com/­anzographwww.mcobject.comorigodb.comgithub.com/­bytedance/­terarkdbvelocitydb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.mcobject.com/­docs/­extremedb.htmorigodb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvelocitydb.com/­UserGuide
DeveloperCambridge SemanticsMcObjectRobert Friberg et alByteDance, originally TerarkVelocityDB Inc
Initial release201820012009 infounder the name LiveDB20162011
Current release2.3, January 20218.2, 20217.x
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Sourcecommercial inforestricted open source version availablecommercial
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 languageC and C++C#C++C#
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
Any that supports .NET
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsnoyes
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 availableno infocan be achieved using .NETnono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith the option: eXtremeSQLnonono
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
.NET Client API
HTTP API
LINQ
C++ API
Java API
.Net
Supported programming languagesC++
Java
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
.NetC++
Java
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyesnono
Triggersnoyes infoby defining eventsyes infoDomain EventsnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning / shardinghorizontal partitioning infoclient side managed; servers are not synchronizednoneSharding
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
Source-replica replicationnone
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 Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesRole based authorizationnoBased on Windows Authentication
More information provided by the system vendor
AnzoGraph DBeXtremeDBOrigoDBTerarkDBVelocityDB
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...
» more

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More resources
AnzoGraph DBeXtremeDBOrigoDBTerarkDBVelocityDB
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