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DBMS > AgensGraph vs. Drizzle vs. Netezza vs. Oracle Berkeley DB vs. RDFox

System Properties Comparison AgensGraph vs. Drizzle vs. Netezza vs. Oracle Berkeley DB vs. RDFox

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRDFox  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.Data warehouse and analytics appliance part of IBM PureSystemsWidely used in-process key-value storeHigh performance knowledge graph and semantic reasoning engine
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitebitnine.net/­agensgraphwww.ibm.com/­products/­netezzawww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oxfordsemantic.tech
Technical documentationbitnine.net/­documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oxfordsemantic.tech
DeveloperBitnine Global Inc.Drizzle project, originally started by Brian AkerIBMOracle infooriginally developed by Sleepycat, which was acquired by OracleOxford Semantic Technologies
Initial release20162008200019942017
Current release2.1, December 20187.2.4, September 201218.1.40, May 20206.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGNU GPLcommercialOpen Source infocommercial license availablecommercial
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, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux infoincluded in applianceAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Data schemedepending on used data modelyesyesschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsCypher Query Language
JDBC
JDBCJDBC
ODBC
OLE DB
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
Java
JavaScript
Python
C
C++
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
Java
Server-side scripts infoStored proceduresyesnoyesno
Triggersnono infohooks for callbacks inside the server can be used.noyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization conceptnoRoles, resources, and access types

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More resources
AgensGraphDrizzleNetezza infoAlso called PureData System for Analytics by IBMOracle Berkeley DBRDFox
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