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DBMS > AgensGraph vs. Drizzle vs. Microsoft Access vs. Netezza vs. Splice Machine

System Properties Comparison AgensGraph vs. Drizzle vs. Microsoft Access vs. Netezza vs. Splice Machine

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSplice Machine  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Data warehouse and analytics appliance part of IBM PureSystemsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitebitnine.net/­agensgraphwww.microsoft.com/­en-us/­microsoft-365/­accesswww.ibm.com/­products/­netezzasplicemachine.com
Technical documentationbitnine.net/­documentationdeveloper.microsoft.com/­en-us/­accesssplicemachine.com/­how-it-works
DeveloperBitnine Global Inc.Drizzle project, originally started by Brian AkerMicrosoftIBMSplice Machine
Initial release20162008199220002014
Current release2.1, December 20187.2.4, September 20121902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGNU GPLcommercial infoBundled with Microsoft OfficecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++Java
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Windows infoNot a real database server, but making use of DLLsLinux infoincluded in applianceLinux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyesyesyes
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.no
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyes infobut not compliant to any SQL standardyesyes
APIs and other access methodsCypher Query Language
JDBC
JDBCADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
C
C++
Java
PHP
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Fortran
Java
Lua
Perl
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyes infosince Access 2010 using the ACE-engineyesyes infoJava
Triggersnono infohooks for callbacks inside the server can be used.yes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
noneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
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-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
AgensGraphDrizzleMicrosoft AccessNetezza infoAlso called PureData System for Analytics by IBMSplice Machine
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