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DBMS > Amazon Aurora vs. BaseX vs. Hazelcast vs. KeyDB

System Properties Comparison Amazon Aurora vs. BaseX vs. Hazelcast vs. KeyDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBaseX  Xexclude from comparisonHazelcast  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A widely adopted in-memory data gridAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMSNative XML DBMSKey-value storeKey-value store
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
Score1.90
Rank#136  Overall
#4  Native XML DBMS
Score6.87
Rank#55  Overall
#6  Key-value stores
Score0.80
Rank#219  Overall
#31  Key-value stores
Websiteaws.amazon.com/­rds/­aurorabasex.orghazelcast.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.basex.orghazelcast.org/­imdg/­docsdocs.keydb.dev
DeveloperAmazonBaseX GmbHHazelcastEQ Alpha Technology Ltd.
Initial release2015200720082019
Current release10.7, August 20235.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMLinux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.yesyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLyesnoSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyesyesyes infoEvent Listeners, Executor ServicesLua
Triggersyesyes infovia eventsyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoReplicated MapMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerone or two-phase-commit; repeatable reads; read commitedOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
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-standardUsers with fine-grained authorization concept on 4 levelsRole-based access controlsimple password-based access control and ACL

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More resources
Amazon AuroraBaseXHazelcastKeyDB
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