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DBMS > AnzoGraph DB vs. OrigoDB vs. PlanetScale vs. TerarkDB vs. VelocityDB

System Properties Comparison AnzoGraph DB vs. OrigoDB vs. PlanetScale vs. TerarkDB vs. VelocityDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonTerarkDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA fully ACID in-memory object graph databaseScalable, distributed, serverless MySQL database platform built on top of VitessA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS
Relational DBMSKey-value storeGraph DBMS
Object oriented 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
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitecambridgesemantics.com/­anzographorigodb.complanetscale.comgithub.com/­bytedance/­terarkdbvelocitydb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmorigodb.com/­docsplanetscale.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvelocitydb.com/­UserGuide
DeveloperCambridge SemanticsRobert Friberg et alPlanetScaleByteDance, originally TerarkVelocityDB Inc
Initial release20182009 infounder the name LiveDB202020162011
Current release2.3, January 20217.x
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Sourcecommercialcommercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoC++C#
Server operating systemsLinuxLinux
Windows
Docker
Linux
macOS
Any that supports .NET
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-freeyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesnoyes
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.nono infocan be achieved using .NETnono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infowith proprietary extensionsnono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
MySQL protocol
ODBC
C++ API
Java API
.Net
Supported programming languagesC++
Java
Python
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes infoproprietary syntaxnono
Triggersnoyes infoDomain EventsyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning infoclient side managed; servers are not synchronizedShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationMulti-source replication
Source-replica replication
none
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-ClusterEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsdepending on modelyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesRole based authorizationUsers with fine-grained authorization concept infono user groups or rolesnoBased on Windows Authentication

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More resources
AnzoGraph DBOrigoDBPlanetScaleTerarkDBVelocityDB
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