DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Blazegraph vs. Cubrid vs. Yanza vs. YottaDB

System Properties Comparison Blazegraph vs. Cubrid vs. Yanza vs. YottaDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCubrid  Xexclude from comparisonYanza  Xexclude from comparisonYottaDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPTime Series DBMS for IoT ApplicationsA fast and solid embedded Key-value store
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteblazegraph.comcubrid.com (korean)
cubrid.org (english)
yanza.comyottadb.com
Technical documentationwiki.blazegraph.comcubrid.org/­manualsyottadb.com/­resources/­documentation
DeveloperBlazegraphCUBRID Corporation, CUBRID FoundationYanzaYottaDB, LLC
Initial release2006200820152001
Current release2.1.5, March 201911.0, January 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache Version 2.0commercial infofree version availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanzano
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++, JavaC
Server operating systemsLinux
OS X
Windows
Linux
Windows
WindowsDocker
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesnono
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 indexesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languageyesnoby using the Octo plugin
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
ODBC
OLE DB
HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
any language that supports HTTP callsC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesJava Stored Proceduresno
Triggersnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardnoUsers and groups based on OS-security mechanisms

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
BlazegraphCubridYanzaYottaDB
Recent citations in the news

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

Harnessing GPUs Delivers a Big Speedup for Graph Analytics
15 December 2015, Datanami

This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines
19 August 2023, MarkTechPost

Faster with GPUs: 5 turbocharged databases
26 September 2016, InfoWorld

provided by Google News



Share this page

Featured Products

Neo4j logo

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

Milvus logo

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