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DBMS > AnzoGraph DB vs. GridDB vs. RocksDB vs. Stardog vs. Virtuoso

System Properties Comparison AnzoGraph DB vs. GridDB vs. RocksDB vs. Stardog vs. Virtuoso

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGridDB  Xexclude from comparisonRocksDB  Xexclude from comparisonStardog  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationScalable in-memory time series database optimized for IoT and Big DataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelGraph DBMS
RDF store
Time Series DBMSKey-value storeGraph DBMS
RDF store
Document store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsKey-value store
Relational DBMS
Spatial 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
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score4.27
Rank#73  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#39  Relational DBMS
#2  RDF stores
#9  Search engines
Websitecambridgesemantics.com/­anzographgriddb.netrocksdb.orgwww.stardog.comvirtuoso.openlinksw.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.griddb.netgithub.com/­facebook/­rocksdb/­wikidocs.stardog.comdocs.openlinksw.com/­virtuoso
DeveloperCambridge SemanticsToshiba CorporationFacebook, Inc.Stardog-UnionOpenLink Software
Initial release20182013201320101998
Current release2.3, January 20215.1, August 20229.2.1, May 20247.3.0, May 20207.2.11, September 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoBSDcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPLv2, extended commercial license available
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++C++JavaC
Server operating systemsLinuxLinuxLinuxLinux
macOS
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeschema-free and OWL/RDFS-schema supportyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampnoyesyes
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 infoImport/export of XML data possibleyes
Secondary indexesnoyesnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL92, SQL-like TQL (Toshiba Query Language)noYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
C++ API
Java API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languagesC++
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonouser defined functions and aggregates, HTTP Server extensions in Javayes infoVirtuoso PL
Triggersnoyesyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationyesMulti-source replication in HA-ClusterChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate consistency within container, eventual consistency across containersImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databasenoAccess rights for users and rolesFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AnzoGraph DBGridDBRocksDBStardogVirtuoso
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Broad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsGitHub trending repository
» more
Largest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
AnzoGraph DBGridDBRocksDBStardogVirtuoso
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