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DBMS > Amazon Redshift vs. Amazon SimpleDB vs. Apache IoTDB vs. Valentina Server

System Properties Comparison Amazon Redshift vs. Amazon SimpleDB vs. Apache IoTDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkObject-relational database and reports server
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score1.88
Rank#133  Overall
#23  Key-value stores
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteaws.amazon.com/­redshiftaws.amazon.com/­simpledbiotdb.apache.orgwww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­redshiftdocs.aws.amazon.com/­simpledbiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazon (based on PostgreSQL)AmazonApache Software FoundationParadigma Software
Initial release2012200720181999
Current release1.1.0, April 20235.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedhostedAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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
Secondary indexesrestrictedyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
Native API
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoSharding must be implemented in the applicationhorizontal partitioning (by time range) + vertical partitioning (by deviceId)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Strong Consistency with Raft
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftAmazon SimpleDBApache IoTDBValentina Server
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