DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > ReductStore vs. TDengine vs. Tkrzw

System Properties Comparison ReductStore vs. TDengine vs. Tkrzw

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameReductStore  Xexclude from comparisonTDengine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 platformA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­reductstore
www.reduct.store
github.com/­taosdata/­TDengine
tdengine.com
dbmx.net/­tkrzw
Technical documentationwww.reduct.store/­docsdocs.tdengine.com
DeveloperReductStore LLCTDEngine, previously Taos DataMikio Hirabayashi
Initial release202320192020
Current release1.9, March 20243.0, August 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBusiness Source License 1.1Open Source infoAGPL V3, also commercial editions availableOpen Source infoApache Version 2.0
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++, RustCC++
Server operating systemsDocker
Linux
macOS
Windows
Linux
Windows
Linux
macOS
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesno
SQL infoSupport of SQLStandard SQL with extensions for time-series applicationsno
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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing specific database classes
User concepts infoAccess controlyesno
More information provided by the system vendor
ReductStoreTDengineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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
News

Mastering Memory Leak Detection in TDengine
31 May 2024

Seamless Data Integration from MQTT and InfluxDB to TDengine
22 May 2024

Solving Long Query Performance Bottlenecks
22 May 2024

What Is Predictive Maintenance?
17 May 2024

Can Typical Time-Series Databases Replace Data Historians?
8 May 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ReductStoreTDengineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Recent citations in the news

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

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

MindsDB is now the leading and fastest growing applied ML platform in the world India - English
3 November 2022, PR Newswire

Data Management News for the Week of January 20; Updates from Dremio, MANTA, Solidatus & More
19 January 2023, Solutions Review

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here