DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

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

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

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonsearchxml  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 databaseDBMS for structured and unstructured content wrapped with an application serverA 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
Native XML DBMS
Search engine
Key-value storeGraph DBMS
Object oriented 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
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitecambridgesemantics.com/­anzographorigodb.comwww.searchxml.net/­category/­productsgithub.com/­bytedance/­terarkdbvelocitydb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmorigodb.com/­docswww.searchxml.net/­support/­handoutsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvelocitydb.com/­UserGuide
DeveloperCambridge SemanticsRobert Friberg et alinformationpartners gmbhByteDance, originally TerarkVelocityDB Inc
Initial release20182009 infounder the name LiveDB201520162011
Current release2.3, January 20211.07.x
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Sourcecommercialcommercial inforestricted open source version availablecommercial
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++C#
Server operating systemsLinuxLinux
Windows
WindowsAny that supports .NET
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeschema-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 .NETyesnono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononono
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
RESTful HTTP API
WebDAV
XQuery
XSLT
C++ API
Java API
.Net
Supported programming languagesC++
Java
Python
.NetC++ infomost other programming languages supported via APIsC++
Java
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes infoon the application servernono
Triggersnoyes infoDomain EventsnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning infoclient side managed; servers are not synchronizednonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationyes infosychronisation to multiple collectionsnone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsdepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDmultiple readers, single writernoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesRole based authorizationDomain, group and role-based access control at the document level and for application servicesnoBased on Windows Authentication

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AnzoGraph DBOrigoDBsearchxmlTerarkDBVelocityDB
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

provided by Google News

A Chinese company is making the cloud 200x faster · TechNode
3 July 2017, TechNode

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here