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DBMS > Elasticsearch vs. OpenQM vs. Virtuoso

System Properties Comparison Elasticsearch vs. OpenQM vs. Virtuoso

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricQpenQM is a high-performance, self-tuning, multi-value DBMSVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelSearch engineMultivalue DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.74
Rank#7  Overall
#1  Search engines
Score0.35
Rank#291  Overall
#10  Multivalue DBMS
Score5.31
Rank#75  Overall
#12  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#41  Relational DBMS
#2  RDF stores
#9  Search engines
Websitewww.elastic.co/­elasticsearchwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmvirtuoso.openlinksw.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.openlinksw.com/­virtuoso
DeveloperElasticRocket Software, originally Martin PhillipsOpenLink Software
Initial release201019931998
Current release8.6, January 20233.4-127.2.11, September 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoGPLv2, extended commercial license availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsAll OS with a Java VMAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infowith some exceptionsyes 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 dateyesyes
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.noyesyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsJava API
RESTful HTTP/JSON 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 languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyesyes infoVirtuoso PL
Triggersyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlAccess rights can be defined down to the item levelFine-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
ElasticsearchOpenQM infoalso called QMVirtuoso
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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More resources
ElasticsearchOpenQM infoalso called QMVirtuoso
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Recent citations in the news

Amazon OpenSearch Ingestion now supports migrating your ElasticSearch indexes to Amazon OpenSearch Service
17 November 2023, AWS Blog

Cribl forges strategic alliance with Elasticsearch for enhanced observability and AI integration
17 November 2023, SiliconANGLE News

Mastering Elasticsearch: A Beginner's Guide to Powerful Searches and Precision — Part 1
21 November 2023, Towards Data Science

Elastic’s Elasticsearch Relevance Engine Enables Generative AI Search
19 June 2023, Forbes

Practical Applications of Elasticsearch in Data Science | by Harshita Aswani | Nov, 2023
22 November 2023, Medium

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