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DBMS > Amazon Aurora vs. OrigoDB vs. PouchDB vs. Spark SQL vs. Tibero

System Properties Comparison Amazon Aurora vs. OrigoDB vs. PouchDB vs. Spark SQL vs. Tibero

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraorigodb.compouchdb.comspark.apache.org/­sqlus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlorigodb.com/­docspouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperAmazonRobert Friberg et alApache Software FoundationApache Software FoundationTmaxSoft
Initial release20152009 infounder the name LiveDB201220142003
Current release7.1.1, June 20193.5.0 ( 2.13), September 20236, April 2015
License infoCommercial or Open SourcecommercialOpen SourceOpen SourceOpen Source infoApache 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 languageC#JavaScriptScalaC and Assembler
Server operating systemshostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsnoyesyes
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.yesno infocan be achieved using .NETnonoyes
Secondary indexesyesyesyes infovia viewsnoyes
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.NetJavaScriptJava
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyesView functions in JavaScriptnoPersistent Stored Procedure (PSM)
Triggersyesyes infoDomain Eventsyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Corehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorizationnonofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Amazon AuroraOrigoDBPouchDBSpark SQLTibero
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