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DBMS > Amazon SimpleDB vs. Apache Druid vs. Citus vs. HBase vs. SAP SQL Anywhere

System Properties Comparison Amazon SimpleDB vs. Apache Druid vs. Citus vs. HBase vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisonCitus  Xexclude from comparisonHBase  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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 ScioreOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLWide-column store based on Apache Hadoop and on concepts of BigTableRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Relational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­simpledbdruid.apache.orgwww.citusdata.comhbase.apache.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designdocs.citusdata.comhbase.apache.org/­book.htmlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazonApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetSAP infoformerly Sybase
Initial release20072012201020081992
Current release29.0.1, April 20248.1, December 20182.3.4, January 202117, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoAGPL, commercial license also availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava
Server operating systemshostedLinux
OS X
Unix
LinuxLinux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes infoschema-less columns are supportedyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyesyesoptions 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.noyes infospecific XML type available, but no XML query functionalitynoyes
Secondary indexesyes infoAll columns are indexed automaticallyyesyesnoyes
SQL infoSupport of SQLnoSQL for queryingyes infostandard, with numerous extensionsnoyes
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
Thrift
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoCoprocessors in Javayes, in C/C++, Java, .Net or Perl
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basedShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBApache DruidCitusHBaseSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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