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DBMS > OpenMLDB vs. RethinkDB vs. TDengine

System Properties Comparison OpenMLDB vs. RethinkDB vs. TDengine

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Editorial information provided by DB-Engines
NameOpenMLDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn open-source machine learning database that provides a feature platform for training and inferenceDBMS for the Web with a mechanism to push updated query results to applications in realtime.Time Series DBMS and big data platform
Primary database modelTime Series DBMSDocument storeTime Series DBMS
Secondary database modelsRelational DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteopenmldb.airethinkdb.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationopenmldb.ai/­docs/­zh/­mainrethinkdb.com/­docsdocs.tdengine.com
Developer4 Paradigm Inc.The Linux Foundation infosince July 2017TDEngine, previously Taos Data
Initial release202020092019
Current release2024-2 February 20242.4.1, August 20203.0, August 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2Open Source infoAGPL V3, also commercial editions available
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++, Java, ScalaC++C
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Data schemeFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
SQLAlchemy
JDBC
RESTful HTTP API
Supported programming languagesC++
Go
Java
Python
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnono
TriggersnoClient-side triggers through changefeedsyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousers and table-level permissionsyes
More information provided by the system vendor
OpenMLDBRethinkDBTDengine
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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More resources
OpenMLDBRethinkDBTDengine
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28 February 2023, Yahoo Finance

TDengine Brings Open Source Time-Series Database to Kubernetes
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Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News



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