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DBMS > Amazon CloudSearch vs. FoundationDB vs. Geode vs. mSQL vs. Sequoiadb

System Properties Comparison Amazon CloudSearch vs. FoundationDB vs. Geode vs. mSQL vs. Sequoiadb

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFoundationDB  Xexclude from comparisonGeode  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSequoiadb  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOrdered key-value store. Core features are complimented by layers.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesmSQL (Mini SQL) is a simple and lightweight RDBMSNewSQL database with distributed OLTP and SQL
Primary database modelSearch engineDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­apple/­foundationdbgeode.apache.orghughestech.com.au/­products/­msqlwww.sequoiadb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchapple.github.io/­foundationdbgeode.apache.org/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAmazonFoundationDBOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Hughes TechnologiesSequoiadb Ltd.
Initial release20122013200219942013
Current release6.2.28, November 20201.1, February 20174.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree licenses can be providedOpen Source infoServer: AGPL; Client: Apache V2
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 languageC++JavaCC++
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesschema-free infosome layers support schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes infooid, date, timestamp, binary, regex
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 indexednonoyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlySQL-like query language (OQL)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language
APIs and other access methodsHTTP APIJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
proprietary protocol using JSON
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoin SQL-layer onlyuser defined functionsnoJavaScript
Triggersnonoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodenoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
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.yesnono
User concepts infoAccess controlauthentication via encrypted signaturesnoAccess rights per client and object definablenosimple password-based access control

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More resources
Amazon CloudSearchFoundationDBGeodemSQL infoMini SQLSequoiadb
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