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DBMS > Apache Druid vs. Solr vs. TimesTen vs. VictoriaMetrics

System Properties Comparison Apache Druid vs. Solr vs. TimesTen vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonSolr  Xexclude from comparisonTimesTen  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA widely used distributed, scalable search engine based on Apache LuceneIn-Memory RDBMS compatible to OracleA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMS
Time Series DBMS
Search engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitedruid.apache.orgsolr.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.htmlvictoriametrics.com
Technical documentationdruid.apache.org/­docs/­latest/­designsolr.apache.org/­resources.htmldocs.oracle.com/­database/­timesten-18.1docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation and contributorsApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005VictoriaMetrics
Initial release2012200619982018
Current release29.0.1, April 20249.6.1, May 202411 Release 2 (11.2.2.8.0)v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsLinux
OS X
Unix
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyes infoschema-less columns are supportedyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes 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.noyesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL for queryingSolr Parallel SQL Interfaceyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoJava pluginsPL/SQLno
Triggersnoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
Synchronous 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 systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes
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 systemyesfine grained access rights according to SQL-standard

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More resources
Apache DruidSolrTimesTenVictoriaMetrics
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