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DBMS > Amazon Aurora vs. Apache Impala vs. Apache IoTDB vs. Cubrid vs. MaxDB

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Apache IoTDB vs. Cubrid vs. MaxDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonApache IoTDB  Xexclude from comparisonCubrid  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic 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 FlinkCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgiotdb.apache.orgcubrid.com (korean)
cubrid.org (english)
maxdb.sap.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcubrid.org/­manualsmaxdb.sap.com/­documentation
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationCUBRID Corporation, CUBRID FoundationSAP, acquired from Software AG (Adabas-D) in 1997
Initial release20152013201820081984
Current release4.1.0, June 20221.1.0, April 202311.0, January 20217.9.10.12, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoLimited community edition free
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, C++, JavaC++
Server operating systemshostedLinuxAll OS with a Java VM (>= 1.8)Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query languageyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
Native API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
WebDAV
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
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyesJava Stored Proceduresyes
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
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.yesnoyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon AuroraApache ImpalaApache IoTDBCubridMaxDB infoformerly named Adabas-D
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