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DBMS > Amazon Aurora vs. HBase vs. InterSystems IRIS vs. Kinetica

System Properties Comparison Amazon Aurora vs. HBase vs. InterSystems IRIS vs. Kinetica

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHBase  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonWide-column store based on Apache Hadoop and on concepts of BigTableA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSWide column storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorahbase.apache.orgwww.intersystems.com/­products/­intersystems-iriswww.kinetica.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlhbase.apache.org/­book.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.kinetica.com
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by PowersetInterSystemsKinetica
Initial release2015200820182012
Current release2.3.4, January 20212023.3, June 20237.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
AIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeyesschema-free, schema definition possibledepending on used data modelyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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.yesnoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javayesuser defined functions
Triggersyesyesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesAccess rights for users and roles on table level
More information provided by the system vendor
Amazon AuroraHBaseInterSystems IRISKinetica
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Amazon AuroraHBaseInterSystems IRISKinetica
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