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DBMS > Amazon Neptune vs. InterSystems Caché vs. MaxDB vs. Netezza vs. PostgreSQL

System Properties Comparison Amazon Neptune vs. InterSystems Caché vs. MaxDB vs. Netezza vs. PostgreSQL

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgreSQL  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudA multi-model DBMS and application serverA robust and reliable RDBMS optimized to run all major SAP solutionsData warehouse and analytics appliance part of IBM PureSystemsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
RDF store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument storeDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­neptunewww.intersystems.com/­products/­cachemaxdb.sap.comwww.ibm.com/­products/­netezzawww.postgresql.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.intersystems.commaxdb.sap.com/­documentationwww.postgresql.org/­docs
DeveloperAmazonInterSystemsSAP, acquired from Software AG (Adabas-D) in 1997IBMPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20171997198420001989 info1989: Postgres, 1996: PostgreSQL
Current release2018.1.4, May 20207.9.10.12, February 202416.3, May 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition freecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux infoincluded in applianceFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freedepending on used data modelyesyesyes
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.noyesnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyesyesyes infostandard with numerous extensions
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
.Net
C#
Java
Perl
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesyesyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneShardingpartitioning by range, list and (since PostgreSQL 11) by hash
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.Source-replica replicationSource-replica replicationSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
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.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and rolesfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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