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DBMS > Solr vs. Stardog vs. Tkrzw vs. VictoriaMetrics

System Properties Comparison Solr vs. Stardog vs. Tkrzw vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelSearch engineGraph DBMS
RDF store
Key-value storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score41.02
Rank#24  Overall
#3  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitesolr.apache.orgwww.stardog.comdbmx.net/­tkrzwvictoriametrics.com
Technical documentationsolr.apache.org/­resources.htmldocs.stardog.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software FoundationStardog-UnionMikio HirabayashiVictoriaMetrics
Initial release2006201020202018
Current release9.6.1, May 20247.3.0, May 20200.9.3, August 2020v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
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 languageJavaJavaC++Go
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesno
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.yesno infoImport/export of XML data possiblenono
Secondary indexesyes infoAll search fields are automatically indexedyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSolr Parallel SQL InterfaceYes, compatible with all major SQL variants through dedicated BI/SQL Servernono
APIs and other access methodsJava 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
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJava pluginsuser defined functions and aggregates, HTTP Server extensions in Javanono
Triggersyes infoUser configurable commands triggered on index changesyes infovia event handlersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in HA-ClusternoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in HA-ClusterImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyes infousing specific database classesno
User concepts infoAccess controlyesAccess rights for users and rolesno

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More resources
SolrStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVictoriaMetrics
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