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DBMS > Datomic vs. JanusGraph vs. Lovefield vs. OceanBase vs. Virtuoso

System Properties Comparison Datomic vs. JanusGraph vs. Lovefield vs. OceanBase vs. Virtuoso

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLovefield  Xexclude from comparisonOceanBase  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Embeddable relational database for web apps written in pure JavaScriptA distributed, high available RDBMS compatible with Oracle and MySQLVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsDocument store
Wide column store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.66
Rank#147  Overall
#68  Relational DBMS
Score4.26
Rank#78  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#42  Relational DBMS
#2  RDF stores
#9  Search engines
Websitewww.datomic.comjanusgraph.orggoogle.github.io/­lovefielden.oceanbase.comvirtuoso.openlinksw.com
Technical documentationdocs.datomic.comdocs.janusgraph.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mden.oceanbase.com/­docs/­oceanbase-databasedocs.openlinksw.com/­virtuoso
DeveloperCognitectLinux Foundation; originally developed as Titan by AureliusGoogleOceanBase infopreviously Alibaba and Ant GroupOpenLink Software
Initial release20122017201420101998
Current release1.0.6735, June 20230.6.3, February 20232.1.12, February 20174.3.0, April 20247.2.11, September 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoCommercial license availableOpen 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 languageJava, ClojureJavaJavaScriptC++C
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes 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 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.nononoyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternyesyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsRESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
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 languagesClojure
Java
Clojure
Java
Python
JavaScriptAda infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infoTransaction FunctionsyesnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyes infoVirtuoso PL
TriggersBy using transaction functionsyesUsing read-only observersyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)nonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)yes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesnoneMulti-source replication using PaxosChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infousing MemoryDByes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph ServernoAccess rights for users, groups and roles according to SQL-standardFine-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
DatomicJanusGraph infosuccessor of TitanLovefieldOceanBaseVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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DatomicJanusGraph infosuccessor of TitanLovefieldOceanBaseVirtuoso
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