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DBMS > MonetDB vs. Prometheus vs. QuestDB vs. SurrealDB

System Properties Comparison MonetDB vs. Prometheus vs. QuestDB vs. SurrealDB

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonPrometheus  Xexclude from comparisonQuestDB  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsOpen-source Time Series DBMS and monitoring systemA high performance open source SQL database for time series dataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSDocument store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitewww.monetdb.orgprometheus.ioquestdb.iosurrealdb.com
Technical documentationwww.monetdb.org/­Documentationprometheus.io/­docsquestdb.io/­docssurrealdb.com/­docs
DeveloperMonetDB BVQuestDB Technology IncSurrealDB Ltd
Initial release2004201520142022
Current releaseDec2023 (11.49), December 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source
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 languageCGoJava (Zero-GC), C++, RustRust
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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 infoImport of XML data possibleno
Secondary indexesyesnono
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnoSQL with time-series extensionsSQL-like query language
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP/JSON APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes, in SQL, C, Rnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusyes infoby FederationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID for single-table writesACID
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-standardnoyes, based on authentication and database rules
More information provided by the system vendor
MonetDBPrometheusQuestDBSurrealDB
News

Combine Java and Rust Code Coverage in a Polyglot Project
10 September 2024

Weather data visualization and forecasting with QuestDB, Kafka and Grafana
4 September 2024

Building a new vector based storage model
22 August 2024

Calibrating VWAP executions with QuestDB and Grafana
16 August 2024

Write Time: a call for community writers
13 August 2024

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More resources
MonetDBPrometheusQuestDBSurrealDB
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MonetDB Foundation launched
31 January 2024, Centrum Wiskunde & Informatica (CWI)

PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R — Part I
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Monet DB The Column-Store Pioneer
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