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DBMS > OrigoDB vs. Quasardb vs. Solr vs. XTDB

System Properties Comparison OrigoDB vs. Quasardb vs. Solr vs. XTDB

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Object oriented DBMS
Time Series DBMSSearch engineDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.11
Rank#343  Overall
#46  Document stores
Websiteorigodb.comquasar.aisolr.apache.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationorigodb.com/­docsdoc.quasar.ai/­mastersolr.apache.org/­resources.htmlwww.xtdb.com/­docs
DeveloperRobert Friberg et alquasardbApache Software FoundationJuxt Ltd.
Initial release2009 infounder the name LiveDB200920062019
Current release3.14.1, January 20249.6.0, April 20241.19, September 2021
License infoCommercial or Open SourceOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++JavaClojure
Server operating systemsLinux
Windows
BSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyes infointeger and binaryyes infosupports customizable data types and automatic typingyes, extensible-data-notation format
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.no infocan be achieved using .NETnoyesno
Secondary indexesyesyes infowith tagsyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageSolr Parallel SQL Interfacelimited SQL, making use of Apache Calcite
APIs and other access methods.NET Client API
HTTP API
LINQ
HTTP APIJava API
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languages.Net.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
Server-side scripts infoStored proceduresyesnoJava pluginsno
Triggersyes infoDomain Eventsnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoconsistent hashingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factoryesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritydepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyes infoby using LevelDByesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlRole based authorizationCryptographically strong user authentication and audit trailyes

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More resources
OrigoDBQuasardbSolrXTDB infoformerly named Crux
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