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DBMS > Citus vs. Dolt vs. MonetDB vs. QuestDB

System Properties Comparison Citus vs. Dolt vs. MonetDB vs. QuestDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDolt  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA MySQL compatible DBMS with Git-like versioning of data and schemaA relational database management system that stores data in columnsA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument storeDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitewww.citusdata.comgithub.com/­dolthub/­dolt
www.dolthub.com
www.monetdb.orgquestdb.io
Technical documentationdocs.citusdata.comdocs.dolthub.comwww.monetdb.org/­Documentationquestdb.io/­docs
DeveloperDoltHub IncMonetDB BVQuestDB Technology Inc
Initial release2010201820042014
Current release8.1, December 2018Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoApache 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 languageCGoCJava (Zero-GC), C++, Rust
Server operating systemsLinuxLinux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesyes infoschema-free via InfluxDB Line Protocol
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesyes infoSQL 2003 with some extensionsSQL with time-series extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
HTTP REST
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
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 proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infocurrently in alpha releaseyes, in SQL, C, Rno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding via remote tableshorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.none infoSource-replica replication available in experimental statusSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID for single-table writes
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.noyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standard
More information provided by the system vendor
CitusDoltMonetDBQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
CitusDoltMonetDBQuestDB
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