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DBMS > CrateDB vs. PostgreSQL vs. Stardog vs. TinkerGraph vs. Virtuoso

System Properties Comparison CrateDB vs. PostgreSQL vs. Stardog vs. TinkerGraph vs. Virtuoso

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonStardog  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionDistributed Database based on LuceneWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIVirtuoso 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
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph DBMS
RDF store
Graph DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Spatial 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
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.08
Rank#348  Overall
#35  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.comwww.postgresql.orgwww.stardog.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvirtuoso.openlinksw.com
Technical documentationcratedb.com/­docswww.postgresql.org/­docsdocs.stardog.comdocs.openlinksw.com/­virtuoso
DeveloperCratePostgreSQL Global Development Group infowww.postgresql.org/­developerStardog-UnionOpenLink Software
Initial release20131989 info1989: Postgres, 1996: PostgreSQL201020091998
Current release16.2, February 20247.3.0, May 20207.2.11, September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoBSDcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0Open 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.
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.Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageJavaCJavaJavaC
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free and OWL/RDFS-schema supportschema-freeyes 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.noyes infospecific XML-type available, but no XML query functionality.no infoImport/export of XML data possiblenoyes
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialnoyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyes infostandard with numerous extensionsYes, compatible with all major SQL variants through dedicated BI/SQL Servernoyes 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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
TinkerPop 3ADO.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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Groovy
Java
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions (Javascript)user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions and aggregates, HTTP Server extensions in Javanoyes infoVirtuoso PL
Triggersnoyesyes infovia event handlersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashnonenoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication in HA-ClusternoneChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency in HA-ClusternoneImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsyes 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 strategyACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardAccess rights for users and rolesnoFine-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
CrateDBPostgreSQLStardogTinkerGraphVirtuoso
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Broad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
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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CrateDBPostgreSQLStardogTinkerGraphVirtuoso
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