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DBMS > OrigoDB vs. Postgres-XL vs. Solr vs. TerminusDB

System Properties Comparison OrigoDB vs. Postgres-XL vs. Solr vs. TerminusDB

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSolr  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA widely used distributed, scalable search engine based on Apache LuceneScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Object oriented DBMS
Relational DBMSSearch engineGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMSDocument store
RDF store
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
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteorigodb.comwww.postgres-xl.orgsolr.apache.orgterminusdb.com
Technical documentationorigodb.com/­docswww.postgres-xl.org/­documentationsolr.apache.org/­resources.htmlterminusdb.github.io/­terminusdb/­#
DeveloperRobert Friberg et alApache Software FoundationDataChemist Ltd.
Initial release2009 infounder the name LiveDB2014 infosince 2012, originally named StormDB20062018
Current release10 R1, October 20189.6.0, April 202411.0.0, January 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoMozilla public licenseOpen Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#CJavaProlog, Rust
Server operating systemsLinux
Windows
Linux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyes 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.no infocan be achieved using .NETyes infoXML type, but no XML query functionalityyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes infodistributed, parallel query executionSolr Parallel SQL InterfaceSQL-like query language (WOQL)
APIs and other access methods.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functionsJava pluginsyes
Triggersyes infoDomain Eventsyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioningShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-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 modelyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole based authorizationfine grained access rights according to SQL-standardyesRole-based access control

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More resources
OrigoDBPostgres-XLSolrTerminusDB infoformer name was DataChemist
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