DBMS > Elasticsearch vs. Hive vs. Virtuoso
System Properties Comparison Elasticsearch vs. Hive vs. Virtuoso
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|Editorial information provided by DB-Engines
|Elasticsearch Xexclude from comparison
|Hive Xexclude from comparison
|Virtuoso Xexclude from comparison
|A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric
|data warehouse software for querying and managing large distributed datasets, built on Hadoop
|Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
|Primary database model
Native XML DBMS
|Secondary database models
|Apache Software Foundation initially developed by Facebook
|8.6, January 2023
|3.1.3, April 2022
|7.2.11, September 2023
|License Commercial or Open Source
|Open Source Elastic License
|Open Source Apache Version 2
|Open Source GPLv2, extended commercial license available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
|All OS with a Java VM
|All OS with a Java VM
|schema-free Flexible type definitions. Once a type is defined, it is persistent
|yes SQL - 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 predefined data types such as float or date
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|yes All search fields are automatically indexed
|SQL Support of SQL
|SQL-like query language
|SQL-like DML and DDL statements
|yes SQL-92, SQL-200x, SQL-3, SQLX
|APIs and other access methods
RESTful HTTP/JSON API
Jena RDF API
RESTful HTTP API
Sesame REST HTTP Protocol
|Supported programming languages
Community Contributed Clients
|Server-side scripts Stored procedures
|yes user defined functions and integration of map-reduce
|yes Virtuoso PL
|yes by using the 'percolation' feature
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|selectable replication factor
|Chain, star, and bi-directional replication
|MapReduce Offers an API for user-defined Map/Reduce methods
|yes query execution via MapReduce
|Consistency concepts Methods to ensure consistency in a distributed system
|Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|Memcached and Redis integration
|User concepts Access control
|Access rights for users, groups and roles
|Fine-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
|Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
|Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
|Typical application scenarios
|Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
|Broad use across enterprises and governments including — European Union (EU) US Government...
|Largest installed-base of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
|Licensing and pricing models
|Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
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