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DBMS > AnzoGraph DB vs. Citus vs. GridGain vs. Microsoft Access

System Properties Comparison AnzoGraph DB vs. Citus vs. GridGain vs. Microsoft Access

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCitus  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGridGain is an in-memory computing platform, built on Apache IgniteMicrosoft 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.)
Primary database modelGraph DBMS
RDF store
Relational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.citusdata.comwww.gridgain.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.citusdata.comwww.gridgain.com/­docs/­index.htmldeveloper.microsoft.com/­en-us/­access
DeveloperCambridge SemanticsGridGain Systems, Inc.Microsoft
Initial release2018201020071992
Current release2.3, January 20218.1, December 2018GridGain 8.5.11902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoAGPL, commercial license also availablecommercial, open sourcecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .Net, Python, REST, SQLC++
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
z/OS
Windows infoNot a real database server, but making use of DLLs
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 functionalityyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infostandard, with numerous extensionsANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standard
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
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engine
Triggersnoyesyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replication infoother methods possible by using 3rd party extensionsyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardRole-based access control
Security Hooks for custom implementations
no infoa simple user-level security was built in till version Access 2003

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More resources
AnzoGraph DBCitusGridGainMicrosoft Access
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