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DBMS > Amazon SimpleDB vs. HBase vs. Ingres vs. Microsoft Azure Synapse Analytics

System Properties Comparison Amazon SimpleDB vs. HBase vs. Ingres vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHBase  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 ScioreWide-column store based on Apache Hadoop and on concepts of BigTableWell established RDBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­simpledbhbase.apache.orgwww.actian.com/­databases/­ingresazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.aws.amazon.com/­simpledbhbase.apache.org/­book.htmldocs.actian.com/­ingresdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by PowersetActian CorporationMicrosoft
Initial release200720081974 infooriginally developed at University Berkely in early 1970s2016
Current release2.3.4, January 202111.2, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hosted
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavayesTransact SQL
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Ingres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardyes

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More resources
Amazon SimpleDBHBaseIngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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