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DBMS > Amazon Neptune vs. InterSystems Caché vs. Kyligence Enterprise vs. MaxDB vs. Netezza

System Properties Comparison Amazon Neptune vs. InterSystems Caché vs. Kyligence Enterprise vs. MaxDB vs. Netezza

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 distributed analytics engine for big data, built on top of Apache KylinA robust and reliable RDBMS optimized to run all major SAP solutionsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
RDF store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­neptunewww.intersystems.com/­products/­cachekyligence.io/­kyligence-enterprisemaxdb.sap.comwww.ibm.com/­products/­netezza
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.intersystems.commaxdb.sap.com/­documentation
DeveloperAmazonInterSystemsKyligence, Inc.SAP, acquired from Software AG (Adabas-D) in 1997IBM
Initial release20171997201619842000
Current release2018.1.4, May 20207.9.10.12, February 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Linux infoincluded in appliance
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.noyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesANSI SQL for queries (using Apache Calcite)yesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
OLE DB
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
Server-side scripts infoStored proceduresnoyesyesyes
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
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
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 concept

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More resources
Amazon NeptuneInterSystems CachéKyligence EnterpriseMaxDB infoformerly named Adabas-DNetezza infoAlso called PureData System for Analytics by IBM
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