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DBMS > GreptimeDB vs. Quasardb vs. SiteWhere vs. TDengine

System Properties Comparison GreptimeDB vs. Quasardb vs. SiteWhere vs. TDengine

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataTime Series DBMS and big data platform
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegreptime.comquasar.aigithub.com/­sitewhere/­sitewheregithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.greptime.comdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.htmldocs.tdengine.com
DeveloperGreptime Inc.quasardbSiteWhereTDEngine, previously Taos Data
Initial release2022200920102019
Current release3.14.1, January 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++JavaC
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Windows
Data schemeschema-free, schema definition possibleschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesyes 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.nononono
Secondary indexesyesyes infowith tagsnono
SQL infoSupport of SQLyesSQL-like query languagenoStandard SQL with extensions for time-series applications
APIs and other access methodsgRPC
HTTP API
JDBC
HTTP APIHTTP RESTJDBC
RESTful HTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresPythonnono
Triggersnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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 controlSimple rights management via user accountsCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptyes
More information provided by the system vendor
GreptimeDBQuasardbSiteWhereTDengine
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
TDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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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
GreptimeDBQuasardbSiteWhereTDengine
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