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DBMS > CrateDB vs. HugeGraph vs. JanusGraph vs. Virtuoso

System Properties Comparison CrateDB vs. HugeGraph vs. JanusGraph vs. Virtuoso

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionDistributed Database based on LuceneA fast-speed and highly-scalable Graph DBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Graph DBMSGraph DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.94
Rank#129  Overall
#12  Graph 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
Websitecratedb.comgithub.com/­hugegraph
hugegraph.apache.org
janusgraph.orgvirtuoso.openlinksw.com
Technical documentationcratedb.com/­docshugegraph.apache.org/­docsdocs.janusgraph.orgdocs.openlinksw.com/­virtuoso
DeveloperCrateBaiduLinux Foundation; originally developed as Titan by AureliusOpenLink Software
Initial release2013201820171998
Current release0.90.6.3, February 20237.2.11, September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaJavaJavaC
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Unix
Linux
OS X
Unix
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes 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 dateyesyesyesyes
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.nononoyes
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynonoyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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 languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Groovy
Java
Python
Clojure
Java
Python
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions (Javascript)asynchronous Gremlin script jobsyesyes infoVirtuoso PL
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)yes
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyes infodepending on used storage backend, e.g. Cassandra and HBaseyesChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes infovia Faunus, a graph analytics engineyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlrights management via user accountsUsers, roles and permissionsUser authentification and security via Rexster Graph ServerFine-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
CrateDBHugeGraphJanusGraph infosuccessor of TitanVirtuoso
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
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Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
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Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
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Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
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Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
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Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
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Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
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Broad use across enterprises and governments including — European Union (EU) US Government...
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Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
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Largest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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More resources
CrateDBHugeGraphJanusGraph infosuccessor of TitanVirtuoso
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