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DBMS > Bangdb vs. Cubrid vs. TDengine vs. VictoriaMetrics

System Properties Comparison Bangdb vs. Cubrid vs. TDengine vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCubrid  Xexclude from comparisonTDengine  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPTime Series DBMS and big data platformA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitebangdb.comcubrid.com (korean)
cubrid.org (english)
github.com/­taosdata/­TDengine
tdengine.com
victoriametrics.com
Technical documentationdocs.bangdb.comcubrid.org/­manualsdocs.tdengine.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperSachin Sinha, BangDBCUBRID Corporation, CUBRID FoundationTDEngine, previously Taos DataVictoriaMetrics
Initial release2012200820192018
Current releaseBangDB 2.0, October 202111.0, January 20213.0, August 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0Open Source infoGPL V3, also commercial editions availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C, C++, JavaCGo
Server operating systemsLinuxLinux
Windows
Linux
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLSQL like support with command line toolyesStandard SQL with extensions for time-series applicationsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
RESTful HTTP API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
Triggersyes, Notifications (with Streaming only)yesyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenono
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardyes
More information provided by the system vendor
BangdbCubridTDengineVictoriaMetrics
Specific characteristicsTDengineā„¢ 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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