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DBMS > Amazon Neptune vs. IBM Db2 warehouse vs. InterSystems IRIS vs. MarkLogic vs. Pinecone

System Properties Comparison Amazon Neptune vs. IBM Db2 warehouse vs. InterSystems IRIS vs. MarkLogic vs. Pinecone

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMarkLogic  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOperational and transactional Enterprise NoSQL databaseA managed, cloud-native vector database
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF 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
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websiteaws.amazon.com/­neptunewww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-iriswww.marklogic.comwww.pinecone.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.marklogic.comdocs.pinecone.io/­docs/­overview
DeveloperAmazonIBMInterSystemsMarkLogic Corp.Pinecone Systems, Inc
Initial release20172014201820012019
Current release2023.3, June 202311.0, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Windows
hosted
Data schemeschema-freeyesdepending on used data modelschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesyesString, Number, Boolean
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.nono infoImport/export of XML data possibleyesyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyesyes infoSQL92no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyesyes infovia XQuery or JavaScript
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
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 replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexesno
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-standardyesRole-based access control at the document and subdocument levels
More information provided by the system vendor
Amazon NeptuneIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISMarkLogicPinecone
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon NeptuneIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISMarkLogicPinecone
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