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DBMS > Amazon SimpleDB vs. Google BigQuery vs. HBase vs. SAP HANA

System Properties Comparison Amazon SimpleDB vs. Google BigQuery vs. HBase vs. SAP HANA

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHBase  Xexclude from comparisonSAP HANA  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 tablesWide-column store based on Apache Hadoop and on concepts of BigTableIn-memory, column based data store. Available as appliance or cloud service
Primary database modelKey-value storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial 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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websiteaws.amazon.com/­simpledbcloud.google.com/­bigqueryhbase.apache.orgwww.sap.com/­products/­hana.html
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­bigquery/­docshbase.apache.org/­book.htmlhelp.sap.com/­hana
DeveloperAmazonGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetSAP
Initial release2007201020082010
Current release2.3.4, January 20212.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedLinux
Unix
Windows infousing Cygwin
Appliance or cloud-service
Data schemeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROyes
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 automaticallynonoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infoCoprocessors in JavaSQLScript, R
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
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 dataSingle row ACID (across millions of columns)ACID
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.noyesyes
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 Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes

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More resources
Amazon SimpleDBGoogle BigQueryHBaseSAP HANA
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