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DBMS > Druid vs. Manticore Search vs. Virtuoso

System Properties Comparison Druid vs. Manticore Search vs. Virtuoso

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonManticore Search  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelRelational DBMS
Time Series DBMS
Search engineGraph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.83
Rank#115  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score0.06
Rank#304  Overall
#16  Search engines
Score2.64
Rank#95  Overall
#5  Graph DBMS
#3  Native XML DBMS
#47  Relational DBMS
#2  RDF stores
#11  Search engines
Websitedruid.apache.orgmanticoresearch.comvirtuoso.openlinksw.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
docs.openlinksw.com/­virtuoso
DeveloperMetamarkets Group and contributorsManticore SoftwareOpenLink Software
Initial release201220171998
Current release8.3, May 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPL version 2Open 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++C
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyes 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 dateyesnoyes
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
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like query languageyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsJSON over HTTPProprietary protocolADO.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
JavaScript
PHP
Python
R
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoyes infoVirtuoso PL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneChain, star, and bi-directional replication
Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoavailable via extensionsnoFine-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
DruidManticore SearchVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metricsLargest installed-base โ€‹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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DruidManticore SearchVirtuoso
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Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

provided by Google News

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