DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > MonetDB vs. QuestDB

System Properties Comparison MonetDB vs. QuestDB

Please select another system to include it in the comparison.

Our visitors often compare MonetDB and QuestDB with DuckDB, PostgreSQL and ClickHouse.

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsA high performance open source SQL database for time series data
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.67
Rank#131  Overall
#61  Relational DBMS
Score3.09
Rank#81  Overall
#6  Time Series DBMS
Websitewww.monetdb.orgquestdb.io
Technical documentationwww.monetdb.org/­Documentationquestdb.io/­docs
DeveloperMonetDB BVQuestDB Technology Inc
Initial release20042014
Current releaseDec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava (Zero-GC), C++, Rust
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocol
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.no
Secondary indexesyesno
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSQL with time-series extensions
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
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
Server-side scripts infoStored proceduresyes, in SQL, C, Rno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tableshorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MonetDBQuestDB
Recent citations in the news

PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R — Part I
6 April 2018, Data Science Central

Test of Time Award for paper on vectorized execution
16 January 2024, Centrum Wiskunde & Informatica (CWI)

ff and Too-Big-for-Memory Data in R — Part III
7 February 2018, Data Science Central

Martin Kersten receives 2016 SIGMOD Systems Award
26 May 2016, Centrum Wiskunde & Informatica (CWI)

Fig. 5. Architecture that integrates Google Colab with Keras-Prov...
22 October 2023, ResearchGate

provided by Google News

High Performance Time - Series Database Design with QuestDB
9 January 2025, InfoQ.com

Making a trading Gameboy: A pocket exchange and algo trading platform @QuestDb
12 November 2024, Adafruit Blog

'Trading Game Boy' is a small game console that can simulate stock trading.
12 November 2024, GIGAZINE(ギガジン)

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

Build a Real-time Stock Price Dashboard With Python, QuestDB and Plotly
6 November 2021, hackernoon.com

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here