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DBMS > Amazon Aurora vs. IBM Db2 warehouse vs. Neo4j vs. ObjectBox

System Properties Comparison Amazon Aurora vs. IBM Db2 warehouse vs. Neo4j vs. ObjectBox

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonNeo4j  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonCloud-based data warehousing serviceScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelRelational DBMSRelational DBMSGraph DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websiteaws.amazon.com/­rds/­aurorawww.ibm.com/­products/­db2/­warehouseneo4j.comgithub.com/­objectbox
objectbox.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlneo4j.com/­docsdocs.objectbox.io
DeveloperAmazonIBMNeo4j, Inc.ObjectBox Limited
Initial release2015201420072017
Current release5.20, May 20244.0 (May 2024)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses availableBindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaC and C++
Server operating systemshostedhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesyesschema-free and schema-optionalyes
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.yesno infoImport/export of XML data possibleno
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
JDBC
ODBC
OLE DB
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
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
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresyesPL/SQL, SQL PLyes infoUser defined Procedures and Functionsno
Triggersyesyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes using Neo4j Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes
More information provided by the system vendor
Amazon AuroraIBM Db2 warehouse infoformerly named IBM dashDBNeo4jObjectBox
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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More resources
Amazon AuroraIBM Db2 warehouse infoformerly named IBM dashDBNeo4jObjectBox
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