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DBMS > Blazegraph vs. Cubrid vs. HugeGraph vs. Sphinx vs. Sqrrl

System Properties Comparison Blazegraph vs. Cubrid vs. HugeGraph vs. Sphinx vs. Sqrrl

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCubrid  Xexclude from comparisonHugeGraph  Xexclude from comparisonSphinx  Xexclude from comparisonSqrrl  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed 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 OLTPA fast-speed and highly-scalable Graph DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
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
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteblazegraph.comcubrid.com (korean)
cubrid.org (english)
github.com/­hugegraph
hugegraph.apache.org
sphinxsearch.comsqrrl.com
Technical documentationwiki.blazegraph.comcubrid.org/­manualshugegraph.apache.org/­docssphinxsearch.com/­docs
DeveloperBlazegraphCUBRID Corporation, CUBRID FoundationBaiduSphinx Technologies Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20062008201820012012
Current release2.1.5, March 201911.0, January 20210.93.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache Version 2.0Open Source infoApache Version 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++Java
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
macOS
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyesschema-free
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.nono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSPARQL is used as query languageyesnoSQL-like query language (SphinxQL)no
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocolAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Groovy
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesJava Stored Proceduresasynchronous Gremlin script jobsnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBasenoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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-standardUsers, roles and permissionsnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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BlazegraphCubridHugeGraphSphinxSqrrl
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