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DBMS > Amazon CloudSearch vs. Amazon DocumentDB vs. Greenplum vs. Teradata vs. Trafodion

System Properties Comparison Amazon CloudSearch vs. Amazon DocumentDB vs. Greenplum vs. Teradata vs. Trafodion

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonGreenplum  Xexclude from comparisonTeradata  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A hybrid cloud data analytics software platform (Teradata Vantage)Transactional SQL-on-Hadoop DBMS
Primary database modelSearch engineDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.91
Rank#131  Overall
#24  Document stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­documentdbgreenplum.orgwww.teradata.comtrafodion.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­documentdb/­resourcesdocs.greenplum.orgdocs.teradata.comtrafodion.apache.org/­documentation.html
DeveloperAmazonPivotal Software Inc.TeradataApache Software Foundation, originally developed by HP
Initial release20122019200519842014
Current release7.0.0, September 2023Teradata Vantage 1.0 MU2, January 20192.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
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++, Java
Server operating systemshostedhostedLinuxhosted
Linux
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infosince Version 4.2yesno
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnonoyesyes infoSQL 2016 + extensionsyes
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
Java
Perl
Python
R
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoyesyes infoUDFs, stored procedures, table functions in parallelJava Stored Procedures
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesno
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchAmazon DocumentDBGreenplumTeradataTrafodion
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