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DBMS > Quasardb vs. TDengine vs. WakandaDB

System Properties Comparison Quasardb vs. TDengine vs. WakandaDB

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonTDengine  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseTime Series DBMS and big data platformWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSTime Series DBMSObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitequasar.aigithub.com/­taosdata/­TDengine
tdengine.com
wakanda.github.io
Technical documentationdoc.quasar.ai/­masterdocs.tdengine.comwakanda.github.io/­doc
DeveloperquasardbTDEngine, previously Taos DataWakanda SAS
Initial release200920192012
Current release3.14.1, January 20243.0, August 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL V3, also commercial editions availableOpen Source infoAGPLv3, extended commercial license 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++CC++, JavaScript
Server operating systemsBSD
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyes
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 indexesyes infowith tagsno
SQL infoSupport of SQLSQL-like query languageStandard SQL with extensions for time-series applicationsno
APIs and other access methodsHTTP APIJDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript
Server-side scripts infoStored proceduresnonoyes
Triggersnoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeno
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesyes
More information provided by the system vendor
QuasardbTDengineWakandaDB
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

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

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

Solving Long Query Performance Bottlenecks
22 May 2024

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

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More resources
QuasardbTDengineWakandaDB
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