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DBMS > Apache Druid vs. RDFox vs. Solr vs. TDSQL for MySQL

System Properties Comparison Apache Druid vs. RDFox vs. Solr vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonRDFox  Xexclude from comparisonSolr  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh performance knowledge graph and semantic reasoning engineA widely used distributed, scalable search engine based on Apache LuceneA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Search engineRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitedruid.apache.orgwww.oxfordsemantic.techsolr.apache.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.oxfordsemantic.techsolr.apache.org/­resources.htmlwww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software Foundation and contributorsOxford Semantic TechnologiesApache Software FoundationTencent
Initial release2012201720062013
Current release29.0.1, April 20246.0, Septermber 20229.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hosted
Data schemeyes infoschema-less columns are supportedyes infoRDF schemasyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL for queryingnoSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP API
SPARQL 1.1
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava pluginsyes
Triggersnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesreplication via a shared file systemyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRoles, resources, and access typesyesUsers with fine-grained authorization concept

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More resources
Apache DruidRDFoxSolrTDSQL for MySQL
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