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DBMS > Amazon Aurora vs. Amazon DocumentDB vs. GeoSpock vs. Teradata

System Properties Comparison Amazon Aurora vs. Amazon DocumentDB vs. GeoSpock vs. Teradata

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonTeradata  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSpatial and temporal data processing engine for extreme data scaleA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­documentdbgeospock.comwww.teradata.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlaws.amazon.com/­documentdb/­resourcesdocs.teradata.com
DeveloperAmazonGeoSpockTeradata
Initial release201520191984
Current release2.0, September 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Javascript
Server operating systemshostedhostedhostedhosted
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnonoyes
Secondary indexesyesyestemporal, categoricalyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesnoANSI SQL for query only (using Presto)yes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
JDBC
ODBC
proprietary protocol using JSON (MongoDB compatible)JDBC.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneAutomatic shardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
Amazon AuroraAmazon DocumentDBGeoSpockTeradata
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Join the preview of Amazon Aurora Limitless Database | Amazon Web Services
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