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DBMS > MonetDB vs. Qdrant vs. SpatiaLite vs. TDengine

System Properties Comparison MonetDB vs. Qdrant vs. SpatiaLite vs. TDengine

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonQdrant  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matchingSpatial extension of SQLiteTime Series DBMS and big data platform
Primary database modelRelational DBMSVector DBMSSpatial DBMSTime 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
Score1.28
Rank#167  Overall
#8  Vector DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
www.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.monetdb.org/­Documentationqdrant.tech/­documentationwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.tdengine.com
DeveloperMonetDB BVQdrantAlessandro FurieriTDEngine, previously Taos Data
Initial release2004202120082019
Current releaseDec2023 (11.49), December 20235.0.0, August 20203.0, August 2022
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open 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 languageCRustC++C
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
server-lessLinux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyesyes
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 indexesyesyes infoKeywords, numberic ranges, geo, full-textyesno
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnoyesStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
RESTful HTTP API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes, in SQL, C, Rnono
Triggersyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusCollection-level replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardKey-based authenticationnoyes
More information provided by the system vendor
MonetDBQdrantSpatiaLiteTDengine
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
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More resources
MonetDBQdrantSpatiaLiteTDengine
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