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DBMS > Amazon Aurora vs. Apache Phoenix vs. EXASOL vs. Hazelcast vs. Interbase

System Properties Comparison Amazon Aurora vs. Apache Phoenix vs. EXASOL vs. Hazelcast vs. Interbase

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Phoenix  Xexclude from comparisonEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparisonInterbase  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A widely adopted in-memory data gridLight-weight proven RDBMS infooriginally from Borland
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score6.87
Rank#55  Overall
#6  Key-value stores
Score5.04
Rank#71  Overall
#39  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraphoenix.apache.orgwww.exasol.comhazelcast.comwww.embarcadero.com/­products/­interbase
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlphoenix.apache.orgwww.exasol.com/­resourceshazelcast.org/­imdg/­docsdocs.embarcadero.com/­products/­interbase
DeveloperAmazonApache Software FoundationExasolHazelcastEmbarcadero
Initial release20152014200020081984
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.3.6, November 2023InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial
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 languageJavaJavaC
Server operating systemshostedLinux
Unix
Windows
All OS with a Java VMAndroid
iOS
Linux
OS X
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
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.yesnonoyes infothe object must implement a serialization strategyno infoexport as XML data possible
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesyesSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC.Net
JDBC
ODBC
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
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++
Go
Groovy
Java
PHP
Python
Scala
Java
Lua
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functionsyes infoEvent Listeners, Executor Servicesyes infoInterbase procedure and trigger language
Triggersyesnoyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes infoReplicated MapInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyes infoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMultiversion concurreny control
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.yesyesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard

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More resources
Amazon AuroraApache PhoenixEXASOLHazelcastInterbase
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