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DBMS > Hive vs. Microsoft Azure SQL Database vs. OrigoDB vs. Solr vs. Stardog

System Properties Comparison Hive vs. Microsoft Azure SQL Database vs. OrigoDB vs. Solr vs. Stardog

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparisonStardog  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering with high compatibility to Microsoft SQL ServerA fully ACID in-memory object graph databaseA widely used distributed, scalable search engine based on Apache LuceneEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Search engineGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitehive.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaseorigodb.comsolr.apache.orgwww.stardog.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­en-us/­azure/­azure-sqlorigodb.com/­docssolr.apache.org/­resources.htmldocs.stardog.com
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftRobert Friberg et alApache Software FoundationStardog-Union
Initial release201220102009 infounder the name LiveDB20062010
Current release3.1.3, April 2022V129.6.0, April 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen SourceOpen Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#JavaJava
Server operating systemsAll OS with a Java VMhostedLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes 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.yesno infocan be achieved using .NETyesno infoImport/export of XML data possible
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSolr Parallel SQL InterfaceYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC++
Java
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQLyesJava pluginsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesyes infoDomain Eventsyes infoUser configurable commands triggered on index changesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, with always 3 replicas availableSource-replica replicationyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesdepending on modelnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardRole based authorizationyesAccess rights for users and roles

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More resources
HiveMicrosoft Azure SQL Database infoformerly SQL AzureOrigoDBSolrStardog
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