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DBMS > Cubrid vs. HugeGraph vs. Sphinx vs. TDengine vs. TigerGraph

System Properties Comparison Cubrid vs. HugeGraph vs. Sphinx vs. TDengine vs. TigerGraph

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonHugeGraph  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionCUBRID 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 databasesTime Series DBMS and big data platformA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSGraph DBMSSearch engineTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitecubrid.com (korean)
cubrid.org (english)
github.com/­hugegraph
hugegraph.apache.org
sphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
www.tigergraph.com
Technical documentationcubrid.org/­manualshugegraph.apache.org/­docssphinxsearch.com/­docsdocs.tdengine.comdocs.tigergraph.com
DeveloperCUBRID Corporation, CUBRID FoundationBaiduSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release20082018200120192017
Current release11.0, January 20210.93.5.1, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions 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++, JavaJavaC++CC++
Server operating systemsLinux
Windows
Linux
macOS
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesyesyes infoalso supports composite index and range indexyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyesnoSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applicationsSQL-like query language (GSQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocolJDBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
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
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresJava Stored Proceduresasynchronous Gremlin script jobsnonoyes
Triggersyesnonoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsnoyesRole-based access control
More information provided by the system vendor
CubridHugeGraphSphinxTDengineTigerGraph
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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