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DBMS > Amazon Aurora vs. BigObject vs. Hazelcast vs. ObjectBox

System Properties Comparison Amazon Aurora vs. BigObject vs. Hazelcast vs. ObjectBox

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBigObject  Xexclude from comparisonHazelcast  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for real-time computations and queriesA widely adopted in-memory data gridLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeObject oriented DBMS
Vector DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websiteaws.amazon.com/­rds/­aurorabigobject.iohazelcast.comgithub.com/­objectbox
objectbox.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.bigobject.iohazelcast.org/­imdg/­docsdocs.objectbox.io
DeveloperAmazonBigObject, Inc.HazelcastObjectBox Limited
Initial release2015201520082017
Current release5.3.6, November 20234.0 (May 2024)
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses availableBindings are released under Apache 2.0 infoApache License 2.0
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 languageJavaC and C++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes, plus "flex" map-like types
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.yesnoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
fluentd
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary native 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
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresyesLuayes infoEvent Listeners, Executor Servicesno
Triggersyesnoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoReplicated MapData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access controlyes
More information provided by the system vendor
Amazon AuroraBigObjectHazelcastObjectBox
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More resources
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