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DBMS > Drizzle vs. TDengine vs. ToroDB

System Properties Comparison Drizzle vs. TDengine vs. ToroDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonTDengine  Xexclude from comparisonToroDB  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.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS and big data platformA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Websitegithub.com/­taosdata/­TDengine
tdengine.com
github.com/­torodb/­server
Technical documentationdocs.tdengine.com
DeveloperDrizzle project, originally started by Brian AkerTDEngine, previously Taos Data8Kdata
Initial release200820192016
Current release7.2.4, September 20123.0, August 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPL V3, also commercial editions availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJava
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
All OS with a Java 7 VM
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, boolean, date, object_id
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 indexesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsJDBCJDBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnono
Triggersno infohooks for callbacks inside the server can be used.yes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyesAccess rights for users and roles
More information provided by the system vendor
DrizzleTDengineToroDB
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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Recent citations in the news

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

TDengine 3.0 Introduces Cloud Native Architecture to Simplify Large-scale Time-Series Data Operations in IoT
23 August 2022, Yahoo Finance

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, GlobeNewswire

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News



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