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DBMS > AgensGraph vs. Altibase vs. Drizzle vs. Netezza

System Properties Comparison AgensGraph vs. Altibase vs. Drizzle vs. Netezza

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAltibase  Xexclude from comparisonDrizzle  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 PostgreSQLAn enterprise grade, high-performance RDBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score1.00
Rank#194  Overall
#91  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websitebitnine.net/­agensgraphaltibase.comwww.ibm.com/­products/­netezza
Technical documentationbitnine.net/­documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manuals
DeveloperBitnine Global Inc.AltibaseDrizzle project, originally started by Brian AkerIBM
Initial release2016199920082000
Current release2.1, December 2018v7.3, 2023, August 20237.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoOpen source edition discontinued with March 2023Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
FreeBSD
Linux
OS X
Linux infoincluded in appliance
Data schemedepending on used data modelyesyesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesANSI SQL-92yes infowith proprietary extensionsyes
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
Proprietary protocol
JDBCJDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
C
C++
Java
C
C++
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesstored procedures and stored functionsnoyes
Triggersnoyesno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization concept

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More resources
AgensGraphAltibaseDrizzleNetezza infoAlso called PureData System for Analytics by IBM
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