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DBMS > Amazon Aurora vs. Amazon Neptune vs. Hazelcast vs. RavenDB

System Properties Comparison Amazon Aurora vs. Amazon Neptune vs. Hazelcast vs. RavenDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonHazelcast  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonFast, reliable graph database built for the cloudA widely adopted in-memory data gridOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value storeDocument store
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­neptunehazelcast.comravendb.net
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlaws.amazon.com/­neptune/­developer-resourceshazelcast.org/­imdg/­docsravendb.net/­docs
DeveloperAmazonAmazonHazelcastHibernating Rhinos
Initial release2015201720082010
Current release5.3.6, November 20235.4, July 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL version 3, commercial license available
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.
Implementation languageJavaC#
Server operating systemshostedhostedAll OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 strategy
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like query languageSQL-like query language (RQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP 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
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes infoEvent Listeners, Executor Servicesyes
Triggersyesnoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yes infoReplicated MapMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlAuthorization levels configured per client per database

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More resources
Amazon AuroraAmazon NeptuneHazelcastRavenDB
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