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DBMS > AgensGraph vs. Drizzle vs. InterSystems IRIS vs. Netezza vs. Quasardb

System Properties Comparison AgensGraph vs. Drizzle vs. InterSystems IRIS vs. Netezza vs. Quasardb

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuasardb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityData warehouse and analytics appliance part of IBM PureSystemsDistributed, high-performance timeseries database
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitebitnine.net/­agensgraphwww.intersystems.com/­products/­intersystems-iriswww.ibm.com/­products/­netezzaquasar.ai
Technical documentationbitnine.net/­documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdoc.quasar.ai/­master
DeveloperBitnine Global Inc.Drizzle project, originally started by Brian AkerInterSystemsIBMquasardb
Initial release20162008201820002009
Current release2.1, December 20187.2.4, September 20122023.3, June 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGNU GPLcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageCC++C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
AIX
Linux
macOS
Ubuntu
Windows
Linux infoincluded in applianceBSD
Linux
OS X
Windows
Data schemedepending on used data modelyesdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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.noyesno
Secondary indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesyesSQL-like query language
APIs and other access methodsCypher Query Language
JDBC
JDBCJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
HTTP API
Supported programming languagesC
Java
JavaScript
Python
C
C++
Java
PHP
.Net
C++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnoyesyesno
Triggersnono infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
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 infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPyesUsers with fine-grained authorization conceptCryptographically strong user authentication and audit trail
More information provided by the system vendor
AgensGraphDrizzleInterSystems IRISNetezza infoAlso called PureData System for Analytics by IBMQuasardb
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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AgensGraphDrizzleInterSystems IRISNetezza infoAlso called PureData System for Analytics by IBMQuasardb
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