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DBMS > Amazon SimpleDB vs. Google BigQuery vs. Hive

System Properties Comparison Amazon SimpleDB vs. Google BigQuery vs. Hive

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHive  Xexclude from comparison
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 tablesdata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelKey-value storeRelational 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
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­simpledbcloud.google.com/­bigqueryhive.apache.org
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­bigquery/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonGoogleApache Software Foundation infoinitially developed by Facebook
Initial release200720102012
Current release3.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VM
Data schemeschema-freeyesyes
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.no
Secondary indexesyes infoAll columns are indexed automaticallynoyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIJDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infouser defined functions and integration of map-reduce
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
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 datano
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
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 for users, groups and roles

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More resources
Amazon SimpleDBGoogle BigQueryHive
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