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DBMS > Amazon CloudSearch vs. Ehcache vs. Lovefield vs. NSDb vs. Valentina Server

System Properties Comparison Amazon CloudSearch vs. Ehcache vs. Lovefield vs. NSDb vs. Valentina Server

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEhcache  Xexclude from comparisonLovefield  Xexclude from comparisonNSDb  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA widely adopted Java cache with tiered storage optionsEmbeddable relational database for web apps written in pure JavaScriptScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesObject-relational database and reports server
Primary database modelSearch engineKey-value storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.ehcache.orggoogle.github.io/­lovefieldnsdb.iowww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.ehcache.org/­documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdnsdb.io/­Architecturevalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonTerracotta Inc, owned by Software AGGoogleParadigma Software
Initial release20122009201420171999
Current release3.10.0, March 20222.1.12, February 20175.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptJava, Scala
Server operating systemshostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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.nonono
Secondary indexesyes infoall search fields are automatically indexednoyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternSQL-like query languageyes
APIs and other access methodsHTTP APIJCachegRPC
HTTP REST
WebSocket
ODBC
Supported programming languagesJavaJavaScriptJava
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonononoyes
Triggersnoyes infoCache Event ListenersUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoby using Terracotta ServernoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoby using Terracotta Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes, by using IndexedDB or the cloud service Firebase Realtime DatabaseUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
User concepts infoAccess controlauthentication via encrypted signaturesnonofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchEhcacheLovefieldNSDbValentina Server
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