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DBMS > MonetDB vs. QuestDB vs. TDengine vs. Tigris

System Properties Comparison MonetDB vs. QuestDB vs. TDengine vs. Tigris

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTDengine  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsA high performance open source SQL database for time series dataTime Series DBMS and big data platformA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.monetdb.orgquestdb.iogithub.com/­taosdata/­TDengine
tdengine.com
www.tigrisdata.com
Technical documentationwww.monetdb.org/­Documentationquestdb.io/­docsdocs.tdengine.comwww.tigrisdata.com/­docs
DeveloperMonetDB BVQuestDB Technology IncTDEngine, previously Taos DataTigris Data, Inc.
Initial release2004201420192022
Current releaseDec2023 (11.49), December 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availableOpen Source infoApache Version 2.0
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 languageCJava (Zero-GC), C++, RustC
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Windows
Linux
macOS
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSQL with time-series extensionsStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
RESTful HTTP API
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes, in SQL, C, Rnonono
Triggersyesnoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tableshorizontal partitioning (by timestamps)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistencyyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 dataACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users and roles
More information provided by the system vendor
MonetDBQuestDBTDengineTigris
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
TDengine™ 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
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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
MonetDBQuestDBTDengineTigris
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