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DBMS > Drizzle vs. FatDB vs. Kingbase vs. TDengine vs. UniData,UniVerse

System Properties Comparison Drizzle vs. FatDB vs. Kingbase vs. TDengine vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFatDB  Xexclude from comparisonKingbase  Xexclude from comparisonTDengine  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A .NET NoSQL DBMS that can integrate with and extend SQL Server.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Time Series DBMS and big data platformMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSTime Series DBMSMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitewww.kingbase.com.cngithub.com/­taosdata/­TDengine
tdengine.com
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.tdengine.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDrizzle project, originally started by Brian AkerFatCloudBeiJing KINGBASE Information technologies inc.TDEngine, previously Taos DataRocket Software
Initial release20082012199920191985
Current release7.2.4, September 2012V8.0, August 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen 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#C and JavaCC
Server operating systemsFreeBSD
Linux
OS X
WindowsLinux
Windows
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.yesno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsno infoVia inetgration in SQL ServerStandard with numerous extensionsStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
RESTful HTTP API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C++
Java
PHP
C#.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes infovia applicationsuser defined functionsnoyes
Triggersno infohooks for callbacks inside the server can be used.yes infovia applicationsyesyes, via alarm monitoringyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardyesAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
DrizzleFatDBKingbaseTDengineUniData,UniVerse
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
News

Streamlining Time-Series Data Management with TDengine’s PostgreSQL Connector
12 June 2024

Enhancing IoT and Industrial Data Management with TDengine’s MySQL Connector
12 June 2024

Comprehensive Comparison Between TDengine and MongoDB
6 June 2024

Comprehensive Comparison Between TDengine and TimescaleDB
5 June 2024

Mastering Memory Leak Detection in TDengine
31 May 2024

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DrizzleFatDBKingbaseTDengineUniData,UniVerse
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