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DBMS > Apache Druid vs. Quasardb vs. Solr vs. Titan

System Properties Comparison Apache Druid vs. Quasardb vs. Solr vs. Titan

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Websitedruid.apache.orgquasar.aisolr.apache.orggithub.com/­thinkaurelius/­titan
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.quasar.ai/­mastersolr.apache.org/­resources.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation and contributorsquasardbApache Software FoundationAurelius, owned by DataStax
Initial release2012200920062012
Current release29.0.1, April 20243.14.1, January 20249.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2Open Source infoApache license, 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 languageJavaC++JavaJava
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes 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.nonoyes
Secondary indexesyesyes infowith tagsyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL for queryingSQL-like query languageSolr Parallel SQL Interfaceno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP APIJava API
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoJava pluginsyes
Triggersnonoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoconsistent hashingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trailyesUser authentification and security via Rexster Graph Server

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Apache DruidQuasardbSolrTitan
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