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DBMS > Amazon Aurora vs. EXASOL vs. Hypertable vs. PouchDB vs. Valentina Server

System Properties Comparison Amazon Aurora vs. EXASOL vs. Hypertable vs. PouchDB vs. Valentina Server

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEXASOL  Xexclude from comparisonHypertable  Xexclude from comparisonPouchDB  Xexclude from comparisonValentina Server  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.An open source BigTable implementation based on distributed file systems such as HadoopJavaScript DBMS with an API inspired by CouchDBObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSWide column storeDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.exasol.compouchdb.comwww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.exasol.com/­resourcespouchdb.com/­guidesvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonExasolHypertable Inc.Apache Software FoundationParadigma Software
Initial release20152000200920121999
Current release0.9.8.11, March 20167.1.1, June 20195.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU version 3. Commercial license availableOpen Sourcecommercial
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++JavaScript
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.yesnono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes infovia viewsyes
SQL infoSupport of SQLyesyesnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
C++ API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Lua
Python
R
C++
Java
Perl
PHP
Python
Ruby
JavaScript.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesuser defined functionsnoView functions in JavaScriptyes
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
Amazon AuroraEXASOLHypertablePouchDBValentina Server
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