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DBMS > QuestDB vs. TDengine vs. VictoriaMetrics

System Properties Comparison QuestDB vs. TDengine vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonTDengine  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA high performance open source SQL database for time series dataTime Series DBMS and big data platformA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitequestdb.iogithub.com/­taosdata/­TDengine
tdengine.com
victoriametrics.com
Technical documentationquestdb.io/­docsdocs.tdengine.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperQuestDB Technology IncTDEngine, previously Taos DataVictoriaMetrics
Initial release201420192018
Current release3.0, August 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open 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 languageJava (Zero-GC), C++, RustCGo
Server operating systemsLinux
macOS
Windows
Linux
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyes
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 indexesnono
SQL infoSupport of SQLSQL with time-series extensionsStandard SQL with extensions for time-series applicationsno
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
RESTful HTTP API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonono
Triggersnoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencyyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes infothrough memory mapped filesno
User concepts infoAccess controlyes
More information provided by the system vendor
QuestDBTDengineVictoriaMetrics
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
TDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
News

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22 May 2024

Solving Long Query Performance Bottlenecks
22 May 2024

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More resources
QuestDBTDengineVictoriaMetrics
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