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DBMS > Amazon Neptune vs. Graph Engine vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Stardog

System Properties Comparison Amazon Neptune vs. Graph Engine vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Stardog

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMS
RDF store
Graph DBMS
Key-value store
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­neptunewww.graphengine.iowww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-iriswww.stardog.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.graphengine.io/­docs/­manualdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.stardog.com
DeveloperAmazonMicrosoftIBMInterSystemsStardog-Union
Initial release20172010201420182010
Current release2023.3, June 20237.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CJava
Server operating systemshosted.NEThostedAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesdepending on used data modelschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono infoImport/export of XML data possibleyesno infoImport/export of XML data possible
Secondary indexesnoyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoyesyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP API.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
F#
Visual Basic
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesPL/SQL, SQL PLyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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.yesSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardyesAccess rights for users and roles
More information provided by the system vendor
Amazon NeptuneGraph Engine infoformer name: TrinityIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISStardog
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon NeptuneGraph Engine infoformer name: TrinityIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISStardog
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