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DBMS > Amazon SimpleDB vs. Google BigQuery vs. OpenQM vs. Teradata Aster

System Properties Comparison Amazon SimpleDB vs. Google BigQuery vs. OpenQM vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreLarge scale data warehouse service with append-only tablesQpenQM is a high-performance, self-tuning, multi-value DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeRelational DBMSMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websiteaws.amazon.com/­simpledbcloud.google.com/­bigquerywww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­bigquery/­docs
DeveloperAmazonGoogleRocket Software, originally Martin PhillipsTeradata
Initial release2007201019932005
Current release3.4-12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeschema-freeyesyes infowith some exceptionsFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesyes
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.noyesyes infoin Aster File Store
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyesR packages
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationno infoSince BigQuery is designed for querying dataACIDACID
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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBGoogle BigQueryOpenQM infoalso called QMTeradata Aster
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Recent citations in the news

A Place for Everything – Amazon SimpleDB | AWS News Blog
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