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DBMS > Amazon CloudSearch vs. BigObject vs. Microsoft Azure SQL Database vs. Solr vs. STSdb

System Properties Comparison Amazon CloudSearch vs. BigObject vs. Microsoft Azure SQL Database vs. Solr vs. STSdb

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBigObject  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSolr  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAnalytic DBMS for real-time computations and queriesDatabase as a Service offering with high compatibility to Microsoft SQL ServerA widely used distributed, scalable search engine based on Apache LuceneKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSearch engineRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSSearch engineKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­cloudsearchbigobject.ioazure.microsoft.com/­en-us/­products/­azure-sql/­databasesolr.apache.orggithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.bigobject.iodocs.microsoft.com/­en-us/­azure/­azure-sqlsolr.apache.org/­resources.html
DeveloperAmazonBigObject, Inc.MicrosoftApache Software FoundationSTS Soft SC
Initial release20122015201020062011
Current releaseV129.6.0, April 20244.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoApache Version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC#
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes infoprimitive types and user defined types (classes)
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.noyesyes
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSolr Parallel SQL Interfaceno
APIs and other access methodsHTTP APIfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
.NET Client API
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
Server-side scripts infoStored proceduresnoLuaTransact SQLJava pluginsno
Triggersnonoyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneyes, with always 3 replicas availableyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesnofine grained access rights according to SQL-standardyesno

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More resources
Amazon CloudSearchBigObjectMicrosoft Azure SQL Database infoformerly SQL AzureSolrSTSdb
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