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DBMS > Amazon SimpleDB vs. Google BigQuery vs. Hive vs. Quasardb vs. TimesTen

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

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  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 HadoopDistributed, high-performance timeseries databaseIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteaws.amazon.com/­simpledbcloud.google.com/­bigqueryhive.apache.orgquasar.aiwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­bigquery/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterdocs.oracle.com/­database/­timesten-18.1
DeveloperAmazonGoogleApache Software Foundation infoinitially developed by FacebookquasardbOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20072010201220091998
Current release3.1.3, April 20223.14.1, January 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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 languageJavaC++
Server operating systemshostedhostedAll OS with a Java VMBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes infointeger and binaryyes
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes infowith tagsyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIJDBC
ODBC
Thrift
HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infouser defined functions and integration of map-reducenoPL/SQL
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducewith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
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 datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
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 rolesCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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Amazon SimpleDBGoogle BigQueryHiveQuasardbTimesTen
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