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DBMS > AnzoGraph DB vs. mSQL vs. OpenQM vs. OrigoDB vs. Vitess

System Properties Comparison AnzoGraph DB vs. mSQL vs. OpenQM vs. OrigoDB vs. Vitess

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOrigoDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationmSQL (Mini SQL) is a simple and lightweight RDBMSQpenQM is a high-performance, self-tuning, multi-value DBMSA fully ACID in-memory object graph databaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMS
RDF store
Relational DBMSMultivalue DBMSDocument store
Object oriented DBMS
Relational DBMS
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
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitecambridgesemantics.com/­anzographhughestech.com.au/­products/­msqlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmorigodb.comvitess.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmorigodb.com/­docsvitess.io/­docs
DeveloperCambridge SemanticsHughes TechnologiesRocket Software, originally Martin PhillipsRobert Friberg et alThe Linux Foundation, PlanetScale
Initial release2018199419932009 infounder the name LiveDB2013
Current release2.3, January 20214.4, October 20213.4-1215.0.2, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infofree licenses can be providedOpen Source infoGPLv2, extended commercial license availableOpen SourceOpen Source infoApache Version 2.0, commercial licenses 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 languageCC#Go
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Docker
Linux
macOS
Data schemeSchema-free and OWL/RDFS-schema supportyesyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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.nonoyesno infocan be achieved using .NET
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnonoyes infowith proprietary extensions
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Basic
C
Java
Objective C
PHP
Python
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesyesyes infoproprietary syntax
Triggersnonoyesyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneyeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneyesSource-replica replicationMulti-source replication
Source-replica replication
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-ClusternoneImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infonot needed in graphsnonodepending on modelyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights can be defined down to the item levelRole based authorizationUsers with fine-grained authorization concept infono user groups or roles

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More resources
AnzoGraph DBmSQL infoMini SQLOpenQM infoalso called QMOrigoDBVitess
Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury
8 February 2019, Towards Data Science

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

Comparing Graph Databases II. Part 2: ArangoDB, OrientDB, and… | by Sam Bell
20 September 2019, Towards Data Science

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29 November 2018, diggers.news

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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



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