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DBMS > Microsoft Azure Table Storage vs. Quasardb vs. Solr vs. TerminusDB

System Properties Comparison Microsoft Azure Table Storage vs. Quasardb vs. Solr vs. TerminusDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsDistributed, high-performance timeseries databaseA 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 modelWide column storeTime Series DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesquasar.aisolr.apache.orgterminusdb.com
Technical documentationdoc.quasar.ai/­mastersolr.apache.org/­resources.htmlterminusdb.github.io/­terminusdb/­#
DeveloperMicrosoftquasardbApache Software FoundationDataChemist Ltd.
Initial release2012200920062018
Current release3.14.1, January 20249.6.1, May 202411.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaProlog, Rust
Server operating systemshostedBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-freeschema-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.nonoyesno
Secondary indexesnoyes infowith tagsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageSolr Parallel SQL InterfaceSQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP APIHTTP APIJava API
RESTful HTTP/JSON API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.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
JavaScript
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 infoImplicit feature of the cloud serviceSharding infoconsistent hashingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with selectable replication factoryesJournaling Streams
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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes infoin-memory journaling
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 controlAccess rights based on private key authentication or shared access signaturesCryptographically strong user authentication and audit trailyesRole-based access control

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More resources
Microsoft Azure Table StorageQuasardbSolrTerminusDB infoformer name was DataChemist
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