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DBMS > ReductStore vs. TDengine

System Properties Comparison ReductStore vs. TDengine

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Editorial information provided by DB-Engines
NameReductStore  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Time Series DBMS and big data platform
Primary database modelTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#40  Time Series DBMS
Score2.45
Rank#107  Overall
#9  Time Series DBMS
Websitegithub.com/­reductstore
www.reduct.store
github.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.reduct.store/­docsdocs.tdengine.com
DeveloperReductStore LLCTDEngine, previously Taos Data
Initial release20232019
Current release1.9, March 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoBusiness Source License 1.1Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, RustC
Server operating systemsDocker
Linux
macOS
Windows
Linux
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesno
SQL infoSupport of SQLStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP APIJDBC
RESTful HTTP API
Supported programming languagesC++
JavaScript (Node.js)
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresno
Triggersyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
Foreign keys infoReferential integrityno
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
User concepts infoAccess controlyes
More information provided by the system vendor
ReductStoreTDengine
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

TDengine 3.3.2.0 Release Notes
12 July 2024

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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
ReductStoreTDengine
Recent citations in the news

TDengine named Top Global Industrial Data Management Solution
4 January 2024, IT Brief Australia

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

TDengine Cloud released to developers
19 October 2022, App Developer Magazine

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

TDengine Brings Open Source Time-Series Database to Kubernetes
23 August 2022, Cloud Native Now

provided by Google News



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