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DBMS > AnzoGraph DB vs. Badger vs. Drizzle vs. MonetDB vs. TerarkDB

System Properties Comparison AnzoGraph DB vs. Badger vs. Drizzle vs. MonetDB vs. TerarkDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonMonetDB  Xexclude from comparisonTerarkDB  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.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A relational database management system that stores data in columnsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitecambridgesemantics.com/­anzographgithub.com/­dgraph-io/­badgerwww.monetdb.orggithub.com/­bytedance/­terarkdb
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgodoc.org/­github.com/­dgraph-io/­badgerwww.monetdb.org/­Documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCambridge SemanticsDGraph LabsDrizzle project, originally started by Brian AkerMonetDB BVByteDance, originally Terark
Initial release20182017200820042016
Current release2.3, January 20217.2.4, September 2012Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoMozilla Public License 2.0commercial inforestricted open source version available
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 languageGoC++CC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 indexesnonoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infowith proprietary extensionsyes infoSQL 2003 with some extensionsno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
C++ API
Java API
Supported programming languagesC++
Java
Python
GoC
C++
Java
PHP
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes, in SQL, C, Rno
Triggersnonono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-Clusternone
Foreign keys infoReferential integrityno infonot needed in graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesnoPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardno

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More resources
AnzoGraph DBBadgerDrizzleMonetDBTerarkDB
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