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DBMS > mSQL vs. Solr vs. Stardog vs. Yaacomo

System Properties Comparison mSQL vs. Solr vs. Stardog vs. Yaacomo

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Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonSolr  Xexclude from comparisonStardog  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSA widely used distributed, scalable search engine based on Apache LuceneEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSSearch engineGraph DBMS
RDF store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitehughestech.com.au/­products/­msqlsolr.apache.orgwww.stardog.comyaacomo.com
Technical documentationsolr.apache.org/­resources.htmldocs.stardog.com
DeveloperHughes TechnologiesApache Software FoundationStardog-UnionQ2WEB GmbH
Initial release1994200620102009
Current release4.4, October 20219.6.1, May 20247.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree licenses can be providedOpen Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
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.
Implementation languageCJavaJava
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Android
Linux
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyes
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.noyesno infoImport/export of XML data possibleno
Secondary indexesyesyes infoAll search fields are automatically indexedyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSolr Parallel SQL InterfaceYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoJava pluginsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infoUser configurable commands triggered on index changesyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication in HA-ClusterSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoyesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
mSQL infoMini SQLSolrStardogYaacomo
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