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

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

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonVelocityDB  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 virtualizationA fully ACID in-memory object graph databaseA 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)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS
Key-value storeGraph DBMS
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
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitecambridgesemantics.com/­anzographorigodb.comgithub.com/­bytedance/­terarkdbvelocitydb.comvitess.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmorigodb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvelocitydb.com/­UserGuidevitess.io/­docs
DeveloperCambridge SemanticsRobert Friberg et alByteDance, originally TerarkVelocityDB IncThe Linux Foundation, PlanetScale
Initial release20182009 infounder the name LiveDB201620112013
Current release2.3, January 20217.x15.0.2, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Sourcecommercial inforestricted open source version availablecommercialOpen 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 languageC#C++C#Go
Server operating systemsLinuxLinux
Windows
Any that supports .NETDocker
Linux
macOS
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsnoyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononoyes infowith proprietary extensions
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
C++ API
Java API
.NetADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Java
Python
.NetC++
Java
.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 aggregatesyesnonoyes infoproprietary syntax
Triggersnoyes infoDomain EventsnoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning infoclient side managed; servers are not synchronizednoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationnoneMulti-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-ClusterImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infonot needed in graphsdepending on modelnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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 authorizationnoBased on Windows AuthenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
AnzoGraph DBOrigoDBTerarkDBVelocityDBVitess
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