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DBMS > Amazon Aurora vs. Amazon Redshift vs. Apache IoTDB vs. SQLite

System Properties Comparison Amazon Aurora vs. Amazon Redshift vs. Apache IoTDB vs. SQLite

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonApache IoTDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonLarge scale data warehouse service for use with business intelligence toolsAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­redshiftiotdb.apache.orgwww.sqlite.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­redshiftiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.sqlite.org/­docs.html
DeveloperAmazonAmazon (based on PostgreSQL)Apache Software FoundationDwayne Richard Hipp
Initial release2015201220182000
Current release1.1.0, April 20233.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC
Server operating systemshostedhostedAll OS with a Java VM (>= 1.8)server-less
Data schemeyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.yesnonono
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLyesyes infodoes not fully support an SQL-standardSQL-like query languageyes infoSQL-92 is not fully supported
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
Native API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBCC
C#
C++
Go
Java
Python
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyesuser defined functions infoin Pythonyesno
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Foreign keys infoReferential integrityyesyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesno

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Amazon AuroraAmazon RedshiftApache IoTDBSQLite
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