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DBMS > Amazon Aurora vs. Amazon CloudSearch vs. OrigoDB vs. Teradata Aster vs. YottaDB

System Properties Comparison Amazon Aurora vs. Amazon CloudSearch vs. OrigoDB vs. Teradata Aster vs. YottaDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonOrigoDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonYottaDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA hosted search engine service by Amazon with the data stored in Amazons cloudA fully ACID in-memory object graph databasePlatform for big data analytics on multistructured data sources and typesA fast and solid embedded Key-value store
Primary database modelRelational DBMSSearch engineDocument store
Object oriented DBMS
Relational DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.85
Rank#137  Overall
#12  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­cloudsearchorigodb.comyottadb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­cloudsearchorigodb.com/­docsyottadb.com/­resources/­documentation
DeveloperAmazonAmazonRobert Friberg et alTeradataYottaDB, LLC
Initial release201520122009 infounder the name LiveDB20052001
License infoCommercial or Open SourcecommercialcommercialOpen SourcecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C
Server operating systemshostedhostedLinux
Windows
LinuxDocker
Linux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesno
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 .NETyes infoin Aster File Storeno
Secondary indexesyesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLyesnonoyesby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
ODBC
OLE DB
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.NetC
C#
C++
Java
Python
R
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesnoyesR packages
Triggersyesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesRole based authorizationfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
Amazon AuroraAmazon CloudSearchOrigoDBTeradata AsterYottaDB
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