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DBMS > AnzoGraph DB vs. Brytlyt vs. InterSystems IRIS vs. MonetDB vs. Netezza

System Properties Comparison AnzoGraph DB vs. Brytlyt vs. InterSystems IRIS vs. MonetDB vs. Netezza

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBrytlyt  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMonetDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA relational database management system that stores data in columnsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitecambridgesemantics.com/­anzographbrytlyt.iowww.intersystems.com/­products/­intersystems-iriswww.monetdb.orgwww.ibm.com/­products/­netezza
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.brytlyt.iodocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.monetdb.org/­Documentation
DeveloperCambridge SemanticsBrytlytInterSystemsMonetDB BVIBM
Initial release20182016201820042000
Current release2.3, January 20215.0, August 20232023.3, June 2023Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC
Server operating systemsLinuxLinux
OS X
Windows
AIX
Linux
macOS
Ubuntu
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in appliance
Data schemeSchema-free and OWL/RDFS-schema supportyesdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.yes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyesyes infoSQL 2003 with some extensionsyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions infoin PL/pgSQLyesyes, in SQL, C, Ryes
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationSource-replica replicationnone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesyesno
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 persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
AnzoGraph DBBrytlytInterSystems IRISMonetDBNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
AnzoGraph DBBrytlytInterSystems IRISMonetDBNetezza infoAlso called PureData System for Analytics by IBM
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