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DBMS > Graph Engine vs. Netezza vs. Postgres-XL vs. Realm vs. SAP HANA

System Properties Comparison Graph Engine vs. Netezza vs. Postgres-XL vs. Realm vs. SAP HANA

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRealm  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineData warehouse and analytics appliance part of IBM PureSystemsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataIn-memory, column based data store. Available as appliance or cloud service
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitewww.graphengine.iowww.ibm.com/­products/­netezzawww.postgres-xl.orgrealm.iowww.sap.com/­products/­hana.html
Technical documentationwww.graphengine.io/­docs/­manualwww.postgres-xl.org/­documentationrealm.io/­docshelp.sap.com/­hana
DeveloperMicrosoftIBMRealm, acquired by MongoDB in May 2019SAP
Initial release201020002014 infosince 2012, originally named StormDB20142010
Current release10 R1, October 20182.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoMozilla public licenseOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC
Server operating systems.NETLinux infoincluded in applianceLinux
macOS
Android
Backend: server-less
iOS
Windows
Appliance or cloud-service
Data schemeyesyesyesyesyes
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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyes infodistributed, parallel query executionnoyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyesyesuser defined functionsno inforuns within the applications so server-side scripts are unnecessarySQLScript, R
Triggersnonoyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realmyes
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardyesyes

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More resources
Graph Engine infoformer name: TrinityNetezza infoAlso called PureData System for Analytics by IBMPostgres-XLRealmSAP HANA
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