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DBMS > Amazon CloudSearch vs. Lovefield vs. Microsoft Access vs. Solr

System Properties Comparison Amazon CloudSearch vs. Lovefield vs. Microsoft Access vs. Solr

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEmbeddable relational database for web apps written in pure JavaScriptMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSearch engineRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.24
Rank#120  Overall
#11  Search engines
Score0.23
Rank#283  Overall
#133  Relational DBMS
Score143.44
Rank#9  Overall
#6  Relational DBMS
Score57.26
Rank#20  Overall
#3  Search engines
Websiteaws.amazon.com/­cloudsearchgoogle.github.io/­lovefieldwww.microsoft.com/­en-us/­microsoft-365/­accesslucene.apache.org/­solr
Technical documentationdocs.aws.amazon.com/­cloudsearchgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddeveloper.microsoft.com/­en-us/­accesslucene.apache.org/­solr/­resources.html
DeveloperAmazonGoogleMicrosoftApache Software Foundation
Initial release2012201419922006
Current release2.1.12, February 20171902 (16.0.11328.20222), March 20198.11.1, December 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++Java
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariWindows infoNot a real database server, but making use of DLLsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.noyes
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes infobut not compliant to any SQL standardSolr Parallel SQL Interface
APIs and other access methodsHTTP APIADO.NET
DAO
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineJava plugins
TriggersnoUsing read-only observersyes infosince Access 2010 using the ACE-engineyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes
User concepts infoAccess controlauthentication via encrypted signaturesnono infoa simple user-level security was built in till version Access 2003yes

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More resources
Amazon CloudSearchLovefieldMicrosoft AccessSolr
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