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DBMS > Kdb vs. QuestDB vs. TDengine

System Properties Comparison Kdb vs. QuestDB vs. TDengine

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonQuestDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHigh performance Time Series DBMSA high performance open source SQL database for time series dataTime Series DBMS and big data platform
Primary database modelTime Series DBMS
Vector DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitekx.comquestdb.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcode.kx.comquestdb.io/­docsdocs.tdengine.com
DeveloperKx Systems, a division of First Derivatives plcQuestDB Technology IncTDEngine, previously Taos Data
Initial release2000 infokdb was released 2000, kdb+ in 200320142019
Current release3.6, May 20183.0, August 2022
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions 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 languageqJava (Zero-GC), C++, RustC
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyes infotable attribute 'grouped'nono
SQL infoSupport of SQLSQL-like query language (q)SQL with time-series extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C 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 proceduresuser defined functionsnono
Triggersyes infowith viewsnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writes
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.yesyes infothrough memory mapped files
User concepts infoAccess controlrights management via user accountsyes
More information provided by the system vendor
KdbQuestDBTDengine
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Relational 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 advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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High 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...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsupon request
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
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More resources
KdbQuestDBTDengine
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