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DBMS > Amazon SimpleDB vs. Apache Impala vs. Apache IoTDB vs. SAP IQ vs. Tkrzw

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. Apache IoTDB vs. SAP IQ vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonApache IoTDB  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 ScioreAnalytic DBMS for HadoopAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkColumnar RDBMS optimized for Big Data analyticsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMS infocolumn-orientedKey-value store
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
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­simpledbimpala.apache.orgiotdb.apache.orgwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmldbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlhelp.sap.com/­docs/­SAP_IQ
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationSAP, formerly SybaseMikio Hirabayashi
Initial release20072013201819942020
Current release4.1.0, June 20221.1.0, April 202316.1 SPS04, April 20190.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
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 languageC++JavaC++
Server operating systemshostedLinuxAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
Native API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesyesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)shared disk or shared nothing architectures with SAP IQ Multiplexernone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSAP/Sybase Replication Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceIntegration with Hadoop and SparkHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonoACID
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.noyesnoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosyesfine grained access rights according to SQL-standardno

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More resources
Amazon SimpleDBApache ImpalaApache IoTDBSAP IQ infoformer name: Sybase IQTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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