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DBMS > Blazegraph vs. Cubrid vs. JanusGraph vs. Sphinx vs. Teradata

System Properties Comparison Blazegraph vs. Cubrid vs. JanusGraph vs. Sphinx vs. Teradata

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCubrid  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
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 OLTPA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteblazegraph.comcubrid.com (korean)
cubrid.org (english)
janusgraph.orgsphinxsearch.comwww.teradata.com
Technical documentationwiki.blazegraph.comcubrid.org/­manualsdocs.janusgraph.orgsphinxsearch.com/­docsdocs.teradata.com
DeveloperBlazegraphCUBRID Corporation, CUBRID FoundationLinux Foundation; originally developed as Titan by AureliusSphinx Technologies Inc.Teradata
Initial release20062008201720011984
Current release2.1.5, March 201911.0, January 20210.6.3, February 20233.5.1, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaJavaC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesnoyes
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.nonoyes
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSPARQL is used as query languageyesnoSQL-like query language (SphinxQL)yes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
ODBC
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesJava Stored Proceduresyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoThe original contents of fields are not stored in the Sphinx index.yes
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-standardUser authentification and security via Rexster Graph Servernofine grained access rights according to SQL-standard

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BlazegraphCubridJanusGraph infosuccessor of TitanSphinxTeradata
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