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DBMS > Amazon Aurora vs. HBase vs. IBM Cloudant vs. Neo4j

System Properties Comparison Amazon Aurora vs. HBase vs. IBM Cloudant vs. Neo4j

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHBase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonWide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering based on Apache CouchDBScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSWide column storeDocument storeGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.68
Rank#106  Overall
#20  Document stores
Score44.46
Rank#23  Overall
#1  Graph DBMS
Websiteaws.amazon.com/­rds/­aurorahbase.apache.orgwww.ibm.com/­products/­cloudantneo4j.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlhbase.apache.org/­book.htmlcloud.ibm.com/­docs/­Cloudantneo4j.com/­docs
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by PowersetIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Neo4j, Inc.
Initial release2015200820102007
Current release2.3.4, January 20215.19, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4jā€™s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJavaErlangJava, Scala
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
hostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-free, schema definition possibleschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes
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.yesnono
Secondary indexesyesnoyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
RESTful HTTP/JSON APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
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
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes infoCoprocessors in JavaView functions (Map-Reduce) in JavaScriptyes infoUser defined Procedures and Functions
Triggersyesyesyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)no infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users can be defined per databaseUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Amazon AuroraHBaseIBM CloudantNeo4j
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraHBaseIBM CloudantNeo4j
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