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DBMS > AnzoGraph DB vs. JaguarDB vs. MonetDB vs. PouchDB

System Properties Comparison AnzoGraph DB vs. JaguarDB vs. MonetDB vs. PouchDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonJaguarDB  Xexclude from comparisonMonetDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationPerformant, highly scalable DBMS for AI and IoT applicationsA relational database management system that stores data in columnsJavaScript DBMS with an API inspired by CouchDB
Primary database modelGraph DBMS
RDF store
Key-value store
Vector DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitecambridgesemantics.com/­anzographwww.jaguardb.comwww.monetdb.orgpouchdb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.jaguardb.com/­support.htmlwww.monetdb.org/­Documentationpouchdb.com/­guides
DeveloperCambridge SemanticsDataJaguar, Inc.MonetDB BVApache Software Foundation
Initial release2018201520042012
Current release2.3, January 20213.3 July 2023Dec2023 (11.49), December 20237.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGPL V3.0Open Source infoMozilla Public License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesCJavaScript
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL 2003 with some extensionsno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, in SQL, C, RView functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding via remote tablesSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replicationnone infoSource-replica replication available in experimental statusMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
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 rolesrights management via user accountsfine grained access rights according to SQL-standardno

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More resources
AnzoGraph DBJaguarDBMonetDBPouchDB
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